[ { "key": "QXZK24T7", "version": 163, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/QXZK24T7", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/QXZK24T7", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Mukherjee", "parsedDate": "2012-12-01", "numChildren": 1 }, "data": { "key": "QXZK24T7", "version": 163, "itemType": "journalArticle", "title": "Identifying the greatest team and captain—A complex network approach to cricket matches", "creators": [ { "creatorType": "author", "firstName": "Satyam", "lastName": "Mukherjee" } ], "abstractNote": "We consider all Test matches played between 1877 and 2010 and One Day International (ODI) matches played between 1971 and 2010. We form directed and weighted networks of teams and also of their captains. The success of a team (or captain) is determined by the ‘quality’ of the wins, not simply by the number of wins. We apply the diffusion-based PageRank algorithm to the networks to assess the importance of the wins, and rank the respective teams and captains. Our analysis identifies Australia as the best team in both forms of cricket, Test and ODI. Steve Waugh is identified as the best captain in Test cricket and Ricky Ponting is the best captain in the ODI format. We also compare our ranking scheme with an existing ranking scheme, the Reliance ICC ranking. Our method does not depend on ‘external’ criteria in the ranking of teams (captains). The purpose of this paper is to introduce a revised ranking of cricket teams and to quantify the success of the captains.", "publicationTitle": "Physica A: Statistical Mechanics and its Applications", "publisher": "", "place": "", "date": "December 1, 2012", "volume": "391", "issue": "23", "section": "", "partNumber": "", "partTitle": "", "pages": "6066-6076", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Physica A: Statistical Mechanics and its Applications", "DOI": "10.1016/j.physa.2012.06.052", "citationKey": "mukherjeeIdentifyingGreatestTeam2012", "url": "http://www.sciencedirect.com/science/article/pii/S0378437112006127", "accessDate": "2014-06-15T22:41:25Z", "PMID": "", "PMCID": "", "ISSN": "0378-4371", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Cricket", "type": 1 }, { "tag": "PageRank algorithm", "type": 1 }, { "tag": "Social network analysis", "type": 1 } ], "collections": [ "BPBN74MB" ], "relations": {}, "dateAdded": "2014-06-15T22:41:25Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "P8F7JZ6I", "version": 163, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/P8F7JZ6I", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/P8F7JZ6I", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Fewell et al.", "parsedDate": "2012-11-06", "numChildren": 1 }, "data": { "key": "P8F7JZ6I", "version": 163, "itemType": "journalArticle", "title": "Basketball Teams as Strategic Networks", "creators": [ { "creatorType": "author", "firstName": "Jennifer H.", "lastName": "Fewell" }, { "creatorType": "author", "firstName": "Dieter", "lastName": "Armbruster" }, { "creatorType": "author", "firstName": "John", "lastName": "Ingraham" }, { "creatorType": "author", "firstName": "Alexander", "lastName": "Petersen" }, { "creatorType": "author", "firstName": "James S.", "lastName": "Waters" } ], "abstractNote": "We asked how team dynamics can be captured in relation to function by considering games in the first round of the NBA 2010 play-offs as networks. Defining players as nodes and ball movements as links, we analyzed the network properties of degree centrality, clustering, entropy and flow centrality across teams and positions, to characterize the game from a network perspective and to determine whether we can assess differences in team offensive strategy by their network properties. The compiled network structure across teams reflected a fundamental attribute of basketball strategy. They primarily showed a centralized ball distribution pattern with the point guard in a leadership role. However, individual play-off teams showed variation in their relative involvement of other players/positions in ball distribution, reflected quantitatively by differences in clustering and degree centrality. We also characterized two potential alternate offensive strategies by associated variation in network structure: (1) whether teams consistently moved the ball towards their shooting specialists, measured as “uphill/downhill” flux, and (2) whether they distributed the ball in a way that reduced predictability, measured as team entropy. These network metrics quantified different aspects of team strategy, with no single metric wholly predictive of success. However, in the context of the 2010 play-offs, the values of clustering (connectedness across players) and network entropy (unpredictability of ball movement) had the most consistent association with team advancement. Our analyses demonstrate the utility of network approaches in quantifying team strategy and show that testable hypotheses can be evaluated using this approach. These analyses also highlight the richness of basketball networks as a dataset for exploring the relationships between network structure and dynamics with team organization and effectiveness.", "publicationTitle": "PLoS ONE", "publisher": "", "place": "", "date": "November 6, 2012", "volume": "7", "issue": "11", "section": "", "partNumber": "", "partTitle": "", "pages": "e47445", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "PLoS ONE", "DOI": "10.1371/journal.pone.0047445", "citationKey": "fewellBasketballTeamsStrategic2012", "url": "http://dx.doi.org/10.1371/journal.pone.0047445", "accessDate": "2014-06-15T22:41:12Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "PLoS Journals", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "BPBN74MB" ], "relations": {}, "dateAdded": "2014-06-15T22:41:12Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "72U6PSGI", "version": 163, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/72U6PSGI", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/72U6PSGI", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Radicchi", "parsedDate": "2012-07-12", "numChildren": 1 }, "data": { "key": "72U6PSGI", "version": 163, "itemType": "journalArticle", "title": "Universality, Limits and Predictability of Gold-Medal Performances at the Olympic Games", "creators": [ { "creatorType": "author", "firstName": "Filippo", "lastName": "Radicchi" } ], "abstractNote": "Inspired by the Games held in ancient Greece, modern Olympics represent the world’s largest pageant of athletic skill and competitive spirit. Performances of athletes at the Olympic Games mirror, since 1896, human potentialities in sports, and thus provide an optimal source of information for studying the evolution of sport achievements and predicting the limits that athletes can reach. Unfortunately, the models introduced so far for the description of athlete performances at the Olympics are either sophisticated or unrealistic, and more importantly, do not provide a unified theory for sport performances. Here, we address this issue by showing that relative performance improvements of medal winners at the Olympics are normally distributed, implying that the evolution of performance values can be described in good approximation as an exponential approach to an a priori unknown limiting performance value. This law holds for all specialties in athletics–including running, jumping, and throwing–and swimming. We present a self-consistent method, based on normality hypothesis testing, able to predict limiting performance values in all specialties. We further quantify the most likely years in which athletes will breach challenging performance walls in running, jumping, throwing, and swimming events, as well as the probability that new world records will be established at the next edition of the Olympic Games.", "publicationTitle": "PLoS ONE", "publisher": "", "place": "", "date": "July 12, 2012", "volume": "7", "issue": "7", "section": "", "partNumber": "", "partTitle": "", "pages": "e40335", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "PLoS ONE", "DOI": "10.1371/journal.pone.0040335", "citationKey": "radicchiUniversalityLimitsPredictability2012a", "url": "http://dx.doi.org/10.1371/journal.pone.0040335", "accessDate": "2014-06-15T22:41:08Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "PLoS Journals", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "BPBN74MB" ], "relations": {}, "dateAdded": "2014-06-15T22:41:08Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "G4S936GE", "version": 163, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/G4S936GE", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/G4S936GE", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Papps", "numChildren": 1 }, "data": { "key": "G4S936GE", "version": 163, "itemType": "thesis", "title": "The dynamics of productivity spillovers in Major League Baseball", "creators": [ { "creatorType": "author", "firstName": "Kerry L.", "lastName": "Papps" } ], "abstractNote": "", "thesisType": "", "university": "", "place": "", "date": "", "series": "", "seriesNumber": "", "numPages": "", "DOI": "", "ISBN": "", "citationKey": "pappsDynamicsProductivitySpilloversa", "url": "http://sole-jole.org/8325.doc", "accessDate": "2013-08-07T17:39:24Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "Google Scholar", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "WJEZH8IE" ], "relations": {}, "dateAdded": "2013-08-07T17:39:24Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "7W7FIBAD", "version": 163, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/7W7FIBAD", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/7W7FIBAD", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Humphrey et al.", "parsedDate": "2009", "numChildren": 1 }, "data": { "key": "7W7FIBAD", "version": 163, "itemType": "journalArticle", "title": "Developing a theory of the strategic core of teams: A role composition model of team performance.", "creators": [ { "creatorType": "author", "firstName": "Stephen E.", "lastName": "Humphrey" }, { "creatorType": "author", "firstName": "Frederick P.", "lastName": "Morgeson" }, { "creatorType": "author", "firstName": "Michael J.", "lastName": "Mannor" } ], "abstractNote": "", "publicationTitle": "Journal of Applied Psychology", "publisher": "", "place": "", "date": "2009", "volume": "94", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "48-61", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1037/a0012997", "citationKey": "humphreyDevelopingTheoryStrategic2009a", "url": "http://doi.apa.org/getdoi.cfm?doi=10.1037/a0012997", "accessDate": "2013-08-07T17:39:18Z", "PMID": "", "PMCID": "", "ISSN": "1939-1854, 0021-9010", "archive": "", "archiveLocation": "", "shortTitle": "Developing a theory of the strategic core of teams", "language": "", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "WJEZH8IE" ], "relations": {}, "dateAdded": "2013-08-07T17:39:18Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "A39TZSK8", "version": 163, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/A39TZSK8", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/A39TZSK8", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "de Dios Tena and Forrest", "parsedDate": "2007", "numChildren": 1 }, "data": { "key": "A39TZSK8", "version": 163, "itemType": "journalArticle", "title": "Within-season dismissal of football coaches: Statistical analysis of causes and consequences", "creators": [ { "creatorType": "author", "firstName": "Juan", "lastName": "de Dios Tena" }, { "creatorType": "author", "firstName": "David", "lastName": "Forrest" } ], "abstractNote": "", "publicationTitle": "European Journal of Operational Research", "publisher": "", "place": "", "date": "8/2007", "volume": "181", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "362-373", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1016/j.ejor.2006.05.024", "citationKey": "dediostenaWithinseasonDismissalFootball2007a", "url": "http://linkinghub.elsevier.com/retrieve/pii/S0377221706003924", "accessDate": "2013-08-07T17:39:09Z", "PMID": "", "PMCID": "", "ISSN": "03772217", "archive": "", "archiveLocation": "", "shortTitle": "Within-season dismissal of football coaches", "language": "", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "WJEZH8IE" ], "relations": {}, "dateAdded": "2013-08-07T17:39:09Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "BZP2QFJE", "version": 163, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/BZP2QFJE", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/BZP2QFJE", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Audas et al.", "parsedDate": "2002", "numChildren": 1 }, "data": { "key": "BZP2QFJE", "version": 163, "itemType": "journalArticle", "title": "The impact of managerial change on team performance in professional sports", "creators": [ { "creatorType": "author", "firstName": "Rick", "lastName": "Audas" }, { "creatorType": "author", "firstName": "Stephen", "lastName": "Dobson" }, { "creatorType": "author", "firstName": "John", "lastName": "Goddard" } ], "abstractNote": "", "publicationTitle": "Journal of Economics and Business", "publisher": "", "place": "", "date": "2002", "volume": "54", "issue": "6", "section": "", "partNumber": "", "partTitle": "", "pages": "633–650", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "audasImpactManagerialChange2002a", "url": "http://www.sciencedirect.com/science/article/pii/S0148619502001200", "accessDate": "2013-08-07T17:39:06Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "Google Scholar", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "WJEZH8IE" ], "relations": {}, "dateAdded": "2013-08-07T17:39:06Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "C2CMDCI9", "version": 163, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/C2CMDCI9", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/C2CMDCI9", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Paola and Scoppa", "parsedDate": "2011-03-28", "numChildren": 1 }, "data": { "key": "C2CMDCI9", "version": 163, "itemType": "journalArticle", "title": "The Effects of Managerial Turnover: Evidence from Coach Dismissals in Italian Soccer Teams", "creators": [ { "creatorType": "author", "firstName": "M. D.", "lastName": "Paola" }, { "creatorType": "author", "firstName": "V.", "lastName": "Scoppa" } ], "abstractNote": "", "publicationTitle": "Journal of Sports Economics", "publisher": "", "place": "", "date": "2011-03-28", "volume": "13", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "152-168", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1177/1527002511402155", "citationKey": "paolaEffectsManagerialTurnover2011", "url": "http://jse.sagepub.com/cgi/doi/10.1177/1527002511402155", "accessDate": "2013-08-07T17:39:21Z", "PMID": "", "PMCID": "", "ISSN": "1527-0025, 1552-7794", "archive": "", "archiveLocation": "", "shortTitle": "The Effects of Managerial Turnover", "language": "", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "WJEZH8IE" ], "relations": {}, "dateAdded": "2013-08-07T17:39:21Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "FCU8CDR7", "version": 163, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/FCU8CDR7", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/FCU8CDR7", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Hong", "parsedDate": "2011", "numChildren": 1 }, "data": { "key": "FCU8CDR7", "version": 163, "itemType": "thesis", "title": "Spillovers in Baseball: The Effect of Veteran Presence on Peer Performance", "creators": [ { "creatorType": "author", "firstName": "Suk Jin", "lastName": "Hong" } ], "abstractNote": "", "thesisType": "", "university": "Haverford College, Department of Economics", "place": "", "date": "2011", "series": "", "seriesNumber": "", "numPages": "", "DOI": "", "ISBN": "", "citationKey": "hongSpilloversBaseballEffect2011", "url": "http://thesis.haverford.edu/dspace/handle/10066/6945", "accessDate": "2013-08-07T17:39:15Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "Spillovers in Baseball", "language": "", "libraryCatalog": "Google Scholar", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "WJEZH8IE" ], "relations": {}, "dateAdded": "2013-08-07T17:39:15Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "84PGUBZ7", "version": 163, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/84PGUBZ7", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/84PGUBZ7", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Frick et al.", "parsedDate": "2010", "numChildren": 1 }, "data": { "key": "84PGUBZ7", "version": 163, "itemType": "journalArticle", "title": "Analysing head coach dismissals in the German “Bundesliga” with a mixed logit approach", "creators": [ { "creatorType": "author", "firstName": "Bernd", "lastName": "Frick" }, { "creatorType": "author", "firstName": "Carlos Pestana", "lastName": "Barros" }, { "creatorType": "author", "firstName": "Joachim", "lastName": "Prinz" } ], "abstractNote": "", "publicationTitle": "European Journal of Operational Research", "publisher": "", "place": "", "date": "1/2010", "volume": "200", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "151-159", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1016/j.ejor.2008.11.048", "citationKey": "frickAnalysingHeadCoach2010a", "url": "http://linkinghub.elsevier.com/retrieve/pii/S0377221708010357", "accessDate": "2013-08-07T17:39:12Z", "PMID": "", "PMCID": "", "ISSN": "03772217", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "WJEZH8IE" ], "relations": {}, "dateAdded": "2013-08-07T17:39:12Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "9Q97SKD7", "version": 162, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/9Q97SKD7", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/9Q97SKD7", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Petersen et al.", "parsedDate": "2011-12-05", "numChildren": 2 }, "data": { "key": "9Q97SKD7", "version": 162, "itemType": "journalArticle", "title": "Statistical regularities in the rank-citation profile of scientists", "creators": [ { "creatorType": "author", "firstName": "Alexander M.", "lastName": "Petersen" }, { "creatorType": "author", "firstName": "H. Eugene", "lastName": "Stanley" }, { "creatorType": "author", "firstName": "Sauro", "lastName": "Succi" } ], "abstractNote": "Recent science of science research shows that scientific impact measures for journals and individual articles have quantifiable regularities across both time and discipline. However, little is known about the scientific impact distribution at the scale of an individual scientist. We analyze the aggregate production and impact using the rank-citation profile ci(r) of 200 distinguished professors and 100 assistant professors. For the entire range of paper rank r, we fit each ci(r) to a common distribution function. Since two scientists with equivalent Hirsch h-index can have significantly different ci(r) profiles, our results demonstrate the utility of the βi scaling parameter in conjunction with hi for quantifying individual publication impact. We show that the total number of citations Ci tallied from a scientist's Ni papers scales as srep00181-m1jpg1Ksrep00181-m1jpg1Ksrep00181-m16jpg1K6923. Such statistical regularities in the input-output patterns of scientists can be used as benchmarks for theoretical models of career progress.", "publicationTitle": "Scientific Reports", "publisher": "", "place": "", "date": "December 5, 2011", "volume": "1", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Sci. Rep.", "DOI": "10.1038/srep00181", "citationKey": "petersenStatisticalRegularitiesRankcitation2011", "url": "http://www.nature.com/srep/2011/111205/srep00181/full/srep00181.html?WT.mc_id=FBK_SciReports", "accessDate": "2014-06-15T22:45:37Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "www.nature.com", "callNumber": "", "rights": "© 2011 Macmillan Publishers Limited. All rights reserved", "extra": "", "tags": [ { "tag": "Applied physics", "type": 1 }, { "tag": "Evolutionary theory", "type": 1 }, { "tag": "Statistical physics", "type": 1 }, { "tag": "Statistics", "type": 1 }, { "tag": "thermodynamics and nonlinear dynamics", "type": 1 } ], "collections": [ "KNI3PSAF" ], "relations": {}, "dateAdded": "2014-06-15T22:45:37Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "7DNVMWKF", "version": 162, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/7DNVMWKF", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/7DNVMWKF", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Petersen et al.", "parsedDate": "2012-04-03", "numChildren": 3 }, "data": { "key": "7DNVMWKF", "version": 162, "itemType": "journalArticle", "title": "Persistence and uncertainty in the academic career", "creators": [ { "creatorType": "author", "firstName": "Alexander M.", "lastName": "Petersen" }, { "creatorType": "author", "firstName": "Massimo", "lastName": "Riccaboni" }, { "creatorType": "author", "firstName": "H. Eugene", "lastName": "Stanley" }, { "creatorType": "author", "firstName": "Fabio", "lastName": "Pammolli" } ], "abstractNote": "Understanding how institutional changes within academia may affect the overall potential of science requires a better quantitative representation of how careers evolve over time. Because knowledge spillovers, cumulative advantage, competition, and collaboration are distinctive features of the academic profession, both the employment relationship and the procedures for assigning recognition and allocating funding should be designed to account for these factors. We study the annual production ni(t) of a given scientist i by analyzing longitudinal career data for 200 leading scientists and 100 assistant professors from the physics community. Our empirical analysis of individual productivity dynamics shows that (i) there are increasing returns for the top individuals within the competitive cohort, and that (ii) the distribution of production growth is a leptokurtic “tent-shaped” distribution that is remarkably symmetric. Our methodology is general, and we speculate that similar features appear in other disciplines where academic publication is essential and collaboration is a key feature. We introduce a model of proportional growth which reproduces these two observations, and additionally accounts for the significantly right-skewed distributions of career longevity and achievement in science. Using this theoretical model, we show that short-term contracts can amplify the effects of competition and uncertainty making careers more vulnerable to early termination, not necessarily due to lack of individual talent and persistence, but because of random negative production shocks. We show that fluctuations in scientific production are quantitatively related to a scientist’s collaboration radius and team efficiency.", "publicationTitle": "Proceedings of the National Academy of Sciences", "publisher": "", "place": "", "date": "04/03/2012", "volume": "109", "issue": "14", "section": "", "partNumber": "", "partTitle": "", "pages": "5213-5218", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "PNAS", "DOI": "10.1073/pnas.1121429109", "citationKey": "petersenPersistenceUncertaintyAcademic2012", "url": "http://www.pnas.org/content/109/14/5213", "accessDate": "2014-06-15T22:45:30Z", "PMID": "22431620", "PMCID": "", "ISSN": "0027-8424, 1091-6490", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "www.pnas.org", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "career trajectory", "type": 1 }, { "tag": "computational sociology", "type": 1 }, { "tag": "labor market", "type": 1 }, { "tag": "science of science", "type": 1 }, { "tag": "tenure", "type": 1 } ], "collections": [ "KNI3PSAF" ], "relations": {}, "dateAdded": "2014-06-15T22:45:30Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "C2NH88BI", "version": 162, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/C2NH88BI", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/C2NH88BI", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Radicchi", "parsedDate": "2011-02-09", "numChildren": 1 }, "data": { "key": "C2NH88BI", "version": 162, "itemType": "journalArticle", "title": "Who Is the Best Player Ever? A Complex Network Analysis of the History of Professional Tennis", "creators": [ { "creatorType": "author", "firstName": "Filippo", "lastName": "Radicchi" } ], "abstractNote": "We considered all matches played by professional tennis players between 1968 and2010, and, on the basis of this data set, constructed a directed and weighted network of contacts. The resulting graph showed complex features, typical of many real networked systems studied in literature. We developed a diffusion algorithm and applied it to the tennis contact network in order to rank professional players. Jimmy Connors was identified as the best player in the history of tennis according to our ranking procedure. We performed a complete analysis by determining the best players on specific playing surfaces as well as the best ones in each of the years covered by the data set. The results of our technique were compared to those of two other well established methods. In general, we observed that our ranking method performed better: it had a higher predictive power and did not require the arbitrary introduction of external criteria for the correct assessment of the quality of players. The present work provides novel evidence of the utility of tools and methods of network theory in real applications.", "publicationTitle": "PLoS ONE", "publisher": "", "place": "", "date": "February 9, 2011", "volume": "6", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "e17249", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "PLoS ONE", "DOI": "10.1371/journal.pone.0017249", "citationKey": "radicchiWhoBestPlayer2011", "url": "http://dx.doi.org/10.1371/journal.pone.0017249", "accessDate": "2014-06-15T22:42:48Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "Who Is the Best Player Ever?", "language": "", "libraryCatalog": "PLoS Journals", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "BPBN74MB" ], "relations": {}, "dateAdded": "2014-06-15T22:42:48Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "W3F7HQHM", "version": 162, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/W3F7HQHM", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/W3F7HQHM", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Balague et al.", "parsedDate": "2013-02-01", "numChildren": 2 }, "data": { "key": "W3F7HQHM", "version": 162, "itemType": "journalArticle", "title": "Overview of complex systems in sport", "creators": [ { "creatorType": "author", "firstName": "Natàlia", "lastName": "Balague" }, { "creatorType": "author", "firstName": "Carlota", "lastName": "Torrents" }, { "creatorType": "author", "firstName": "Robert", "lastName": "Hristovski" }, { "creatorType": "author", "firstName": "Keith", "lastName": "Davids" }, { "creatorType": "author", "firstName": "Duarte", "lastName": "Araújo" } ], "abstractNote": "The complex systems approach offers an opportunity to replace the extant pre-dominant mechanistic view on sport-related phenomena. The emphasis on the environment-system relationship, the applications of complexity principles, and the use of nonlinear dynamics mathematical tools propose a deep change in sport science. Coordination dynamics, ecological dynamics, and network approaches have been successfully applied to the study of different sport-related behaviors, from movement patterns that emerge at different scales constrained by specific sport contexts to game dynamics. Sport benefit from the use of such approaches in the understanding of technical, tactical, or physical conditioning aspects which change their meaning and dilute their frontiers. The creation of new learning and training strategies for teams and individual athletes is a main practical consequence. Some challenges for the future are investigating the influence of key control parameters in the nonlinear behavior of athlete-environment systems and the possible relatedness of the dynamics and constraints acting at different spatio-temporal scales in team sports. Modelling sport-related phenomena can make useful contributions to a better understanding of complex systems and vice-versa.", "publicationTitle": "Journal of Systems Science and Complexity", "publisher": "", "place": "", "date": "2013/02/01", "volume": "26", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "4-13", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "J Syst Sci Complex", "DOI": "10.1007/s11424-013-2285-0", "citationKey": "balagueOverviewComplexSystems2013", "url": "http://link.springer.com/article/10.1007/s11424-013-2285-0", "accessDate": "2014-06-15T22:41:40Z", "PMID": "", "PMCID": "", "ISSN": "1009-6124, 1559-7067", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "link.springer.com", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Constraints-led approach", "type": 1 }, { "tag": "Mathematics of Computing", "type": 1 }, { "tag": "Operations Research/Decision Theory", "type": 1 }, { "tag": "Statistical Physics, Dynamical Systems and Complexity", "type": 1 }, { "tag": "Statistics, general", "type": 1 }, { "tag": "Systems Theory, Control", "type": 1 }, { "tag": "coordination dynamics", "type": 1 }, { "tag": "performer-environment system", "type": 1 }, { "tag": "selforganization", "type": 1 }, { "tag": "team dynamics", "type": 1 } ], "collections": [ "BPBN74MB" ], "relations": {}, "dateAdded": "2014-06-15T22:41:40Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "WFWG6B38", "version": 162, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/WFWG6B38", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/WFWG6B38", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Seuront", "parsedDate": "2013-09-01", "numChildren": 2 }, "data": { "key": "WFWG6B38", "version": 162, "itemType": "journalArticle", "title": "Complex dynamics in the distribution of players’ scoring performance in Rugby Union world cups", "creators": [ { "creatorType": "author", "firstName": "Laurent", "lastName": "Seuront" } ], "abstractNote": "The evolution of the scoring performance of Rugby Union players is investigated over the seven rugby world cups (RWC) that took place from 1987 to 2011, and a specific attention is given to how they may have been impacted by the switch from amateurism to professionalism that occurred in 1995. The distribution of the points scored by individual players, P s , ranked in order of performance were well described by the simplified canonical law P s ∝ ( r + ϕ ) − α , where r is the rank, and ϕ and α are the parameters of the distribution. The parameter α did not significantly change from 1987 to 2007 ( α = 0.92 ± 0.03 ) , indicating a negligible effect of professionalism on players’ scoring performance. In contrast, the parameter ϕ significantly increased from ϕ = 1.32 for 1987 RWC, ϕ = 2.30 for 1999 to 2003 RWC and ϕ = 5.60 for 2007 RWC, suggesting a progressive decrease in the relative performance of the best players. Finally, the sharp decreases observed in both α ( α = 0.38 ) and ϕ ( ϕ = 0.70 ) in the 2011 RWC indicate a more even distribution of the performance of individuals among scorers, compared to the more heterogeneous distributions observed from 1987 to 2007, and suggest a sharp increase in the level of competition leading to an increase in the average quality of players and a decrease in the relative skills of the top players. Note that neither α nor ϕ significantly correlate with traditional performance indicators such as the number of points scored by the best players, the number of games played by the best players, the number of points scored by the team of the best players or the total number of points scored over each RWC. This indicates that the dynamics of the scoring performance of Rugby Union players is influenced by hidden processes hitherto inaccessible through standard performance metrics; this suggests that players’ scoring performance is connected to ubiquitous phenomena such as anomalous diffusion.", "publicationTitle": "Physica A: Statistical Mechanics and its Applications", "publisher": "", "place": "", "date": "September 1, 2013", "volume": "392", "issue": "17", "section": "", "partNumber": "", "partTitle": "", "pages": "3731-3740", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Physica A: Statistical Mechanics and its Applications", "DOI": "10.1016/j.physa.2013.03.024", "citationKey": "seurontComplexDynamicsDistribution2013", "url": "http://www.sciencedirect.com/science/article/pii/S0378437113002410", "accessDate": "2014-06-15T22:46:00Z", "PMID": "", "PMCID": "", "ISSN": "0378-4371", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Diversity", "type": 1 }, { "tag": "Evenness", "type": 1 }, { "tag": "Performance indicator", "type": 1 }, { "tag": "Rank-frequency", "type": 1 }, { "tag": "Simplified canonical law", "type": 1 }, { "tag": "Sport", "type": 1 } ], "collections": [ "BPBN74MB" ], "relations": {}, "dateAdded": "2014-06-15T22:46:00Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "CVJWIENU", "version": 162, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/CVJWIENU", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/CVJWIENU", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Petersen et al.", "parsedDate": "2011-01-04", "numChildren": 3 }, "data": { "key": "CVJWIENU", "version": 162, "itemType": "journalArticle", "title": "Quantitative and empirical demonstration of the Matthew effect in a study of career longevity", "creators": [ { "creatorType": "author", "firstName": "Alexander M.", "lastName": "Petersen" }, { "creatorType": "author", "firstName": "Woo-Sung", "lastName": "Jung" }, { "creatorType": "author", "firstName": "Jae-Suk", "lastName": "Yang" }, { "creatorType": "author", "firstName": "H. Eugene", "lastName": "Stanley" } ], "abstractNote": "The Matthew effect refers to the adage written some two-thousand years ago in the Gospel of St. Matthew: “For to all those who have, more will be given.” Even two millennia later, this idiom is used by sociologists to qualitatively describe the dynamics of individual progress and the interplay between status and reward. Quantitative studies of professional careers are traditionally limited by the difficulty in measuring progress and the lack of data on individual careers. However, in some professions, there are well-defined metrics that quantify career longevity, success, and prowess, which together contribute to the overall success rating for an individual employee. Here we demonstrate testable evidence of the age-old Matthew “rich get richer” effect, wherein the longevity and past success of an individual lead to a cumulative advantage in further developing his or her career. We develop an exactly solvable stochastic career progress model that quantitatively incorporates the Matthew effect and validate our model predictions for several competitive professions. We test our model on the careers of 400,000 scientists using data from six high-impact journals and further confirm our findings by testing the model on the careers of more than 20,000 athletes in four sports leagues. Our model highlights the importance of early career development, showing that many careers are stunted by the relative disadvantage associated with inexperience.", "publicationTitle": "Proceedings of the National Academy of Sciences", "publisher": "", "place": "", "date": "01/04/2011", "volume": "108", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "18-23", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "PNAS", "DOI": "10.1073/pnas.1016733108", "citationKey": "petersenQuantitativeEmpiricalDemonstration2011", "url": "http://www.pnas.org/content/108/1/18", "accessDate": "2014-06-15T22:45:48Z", "PMID": "21173276", "PMCID": "", "ISSN": "0027-8424, 1091-6490", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "www.pnas.org", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Poisson process", "type": 1 }, { "tag": "career length", "type": 1 }, { "tag": "hazard rate", "type": 1 }, { "tag": "output", "type": 1 }, { "tag": "quantitative sociology", "type": 1 } ], "collections": [ "KNI3PSAF" ], "relations": {}, "dateAdded": "2014-06-15T22:45:48Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "UJVFSMHU", "version": 162, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/UJVFSMHU", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/UJVFSMHU", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Peña and Touchette", "parsedDate": "2012-06-28", "numChildren": 3 }, "data": { "key": "UJVFSMHU", "version": 162, "itemType": "journalArticle", "title": "A network theory analysis of football strategies", "creators": [ { "creatorType": "author", "firstName": "Javier López", "lastName": "Peña" }, { "creatorType": "author", "firstName": "Hugo", "lastName": "Touchette" } ], "abstractNote": "We showcase in this paper the use of some tools from network theory to describe the strategy of football teams. Using passing data made available by FIFA during the 2010 World Cup, we construct for each team a weighted and directed network in which nodes correspond to players and arrows to passes. The resulting network or graph provides a direct visual inspection of a team's strategy, from which we can identify play pattern, determine hot-spots on the play and localize potential weaknesses. Using different centrality measures, we can also determine the relative importance of each player in the game, the `popularity' of a player, and the effect of removing players from the game.", "publicationTitle": "arXiv:1206.6904 [physics, stat]", "publisher": "", "place": "", "date": "2012-06-28", "volume": "", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "penaNetworkTheoryAnalysis2012", "url": "http://arxiv.org/abs/1206.6904", "accessDate": "2014-06-15T22:43:38Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "arXiv.org", "callNumber": "", "rights": "", "extra": "arXiv: 1206.6904", "tags": [ { "tag": "68R10, 90C35, 90C90", "type": 1 }, { "tag": "Mathematics - Combinatorics", "type": 1 }, { "tag": "Mathematics - Statistics Theory", "type": 1 }, { "tag": "Physics - Physics and Society", "type": 1 } ], "collections": [ "BPBN74MB" ], "relations": {}, "dateAdded": "2014-06-15T22:43:38Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "VKSJPAV7", "version": 162, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/VKSJPAV7", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/VKSJPAV7", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Cotta et al.", "parsedDate": "2013-02-01", "numChildren": 2 }, "data": { "key": "VKSJPAV7", "version": 162, "itemType": "journalArticle", "title": "A network analysis of the 2010 FIFA world cup champion team play", "creators": [ { "creatorType": "author", "firstName": "Carlos", "lastName": "Cotta" }, { "creatorType": "author", "firstName": "Antonio M.", "lastName": "Mora" }, { "creatorType": "author", "firstName": "Juan Julián", "lastName": "Merelo" }, { "creatorType": "author", "firstName": "Cecilia", "lastName": "Merelo-Molina" } ], "abstractNote": "This paper analyzes the network of passes among the players of the Spanish team during the last FIFA World Cup 2010, where they emerged as the champion, with the objective of explaining the results obtained from the behavior at the complex network level. The team is considered a network with players as nodes and passes as (directed) edges. A temporal analysis of the resulting passes network is also done, looking at the number of passes, length of the chain of passes, and to network measures such as player centrality and clustering coefficient. Results of the last three matches (the decisive ones) indicate that the clustering coefficient of the pass network remains high, indicating the elaborate style of the Spanish team. The effectiveness of the opposing team in negating the Spanish game is reflected in the change of several network measures over time, most importantly in drops of the clustering coefficient and passing length/speed, as well as in their being able in removing the most talented players from the central positions of the network. Spain’s ability to restore their combinative game and move the focus of the game to offensive positions and talented players is shown to tilt the balance in favor of the Spanish team.", "publicationTitle": "Journal of Systems Science and Complexity", "publisher": "", "place": "", "date": "2013/02/01", "volume": "26", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "21-42", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "J Syst Sci Complex", "DOI": "10.1007/s11424-013-2291-2", "citationKey": "cottaNetworkAnalysis20102013", "url": "http://link.springer.com/article/10.1007/s11424-013-2291-2", "accessDate": "2014-06-15T22:43:25Z", "PMID": "", "PMCID": "", "ISSN": "1009-6124, 1559-7067", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "link.springer.com", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Complex network", "type": 1 }, { "tag": "FIFA World Cup", "type": 1 }, { "tag": "La Roja", "type": 1 }, { "tag": "Mathematics of Computing", "type": 1 }, { "tag": "Operations Research/Decision Theory", "type": 1 }, { "tag": "Soccer", "type": 1 }, { "tag": "Spanish team", "type": 1 }, { "tag": "Statistical Physics, Dynamical Systems and Complexity", "type": 1 }, { "tag": "Statistics, general", "type": 1 }, { "tag": "Systems Theory, Control", "type": 1 }, { "tag": "complex systems", "type": 1 }, { "tag": "football", "type": 1 }, { "tag": "network analysis", "type": 1 }, { "tag": "sports", "type": 1 } ], "collections": [ "BPBN74MB" ], "relations": {}, "dateAdded": "2014-06-15T22:43:25Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "FA4MTIVB", "version": 162, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/FA4MTIVB", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/FA4MTIVB", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Day et al.", "parsedDate": "2012", "numChildren": 2 }, "data": { "key": "FA4MTIVB", "version": 162, "itemType": "journalArticle", "title": "The Sporting Life: Exploring Organizations through the Lens of Sport", "creators": [ { "creatorType": "author", "firstName": "David V.", "lastName": "Day" }, { "creatorType": "author", "firstName": "Sandy", "lastName": "Gordon" }, { "creatorType": "author", "firstName": "Corinna", "lastName": "Fink" } ], "abstractNote": "We selectively review the literature from the fields of organizational behavior and sport science with the overarching purpose of identifying and summarizing key themes and contributions. The literature is used to provide insights into the fundamental issues of competition (getting ahead) and cooperation (getting along) in organizations. Studies from the organization sciences that have incorporated individual and team data from the various fields of sport are reviewed and organized by topic into succession effects, motivation and performance, and studies of individual and team performance changes over time. In addition, selected studies from the sport science literature are reviewed from the topic areas of the “hot-hand” effect, choking under pressure, passion for life activities, and difficult career transitions. The evidence presents a clear argument that greater integration across the fields of organization and sport science is needed. Areas of future research consideration with regard to embodied cognition and emotions as well as networked approaches to team processes are proposed.", "publicationTitle": "The Academy of Management Annals", "publisher": "", "place": "", "date": "2012", "volume": "6", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "397-433", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1080/19416520.2012.678697", "citationKey": "daySportingLifeExploring2012", "url": "http://dx.doi.org/10.1080/19416520.2012.678697", "accessDate": "2014-06-15T22:42:57Z", "PMID": "", "PMCID": "", "ISSN": "1941-6520", "archive": "", "archiveLocation": "", "shortTitle": "The Sporting Life", "language": "", "libraryCatalog": "Taylor and Francis+NEJM", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "BPBN74MB" ], "relations": {}, "dateAdded": "2014-06-15T22:42:57Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "P69UI3J3", "version": 162, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/P69UI3J3", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/P69UI3J3", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Grund", "parsedDate": "2012-10", "numChildren": 1 }, "data": { "key": "P69UI3J3", "version": 162, "itemType": "journalArticle", "title": "Network structure and team performance: The case of English Premier League soccer teams", "creators": [ { "creatorType": "author", "firstName": "Thomas U.", "lastName": "Grund" } ], "abstractNote": "A defining feature of a work group is how its individual members interact. Building on a dataset of 283,259 passes between professional soccer players, this study applies mixed-effects modeling to 76 repeated observations of the interaction networks and performance of 23 soccer teams. Controlling for unobserved characteristics, such as the quality of the teams, the study confirms previous findings with panel data: networks characterized by high intensity (controlling for interaction opportunities) and low centralization are indeed associated with better team performance.", "publicationTitle": "Social Networks", "publisher": "", "place": "", "date": "October 2012", "volume": "34", "issue": "4", "section": "", "partNumber": "", "partTitle": "", "pages": "682-690", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Social Networks", "DOI": "10.1016/j.socnet.2012.08.004", "citationKey": "grundNetworkStructureTeam2012a", "url": "http://www.sciencedirect.com/science/article/pii/S0378873312000500", "accessDate": "2014-06-15T22:41:33Z", "PMID": "", "PMCID": "", "ISSN": "0378-8733", "archive": "", "archiveLocation": "", "shortTitle": "Network structure and team performance", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Centralization", "type": 1 }, { "tag": "Network structure", "type": 1 }, { "tag": "Soccer", "type": 1 }, { "tag": "Team performance", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-06-15T22:41:33Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "I4ETMJ96", "version": 161, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/I4ETMJ96", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/I4ETMJ96", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Tygiel", "parsedDate": "2001", "numChildren": 0 }, "data": { "key": "I4ETMJ96", "version": 161, "itemType": "book", "title": "Past time: Baseball as history", "creators": [ { "creatorType": "author", "firstName": "Jules", "lastName": "Tygiel" } ], "abstractNote": "", "series": "", "seriesNumber": "", "volume": "", "numberOfVolumes": "", "edition": "", "date": "2001", "publisher": "Oxford University Press", "place": "", "originalDate": "", "originalPublisher": "", "originalPlace": "", "format": "", "numPages": "", "ISBN": "", "DOI": "", "citationKey": "tygielTimeBaseballHistory2001", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "Past time", "language": "", "libraryCatalog": "Google Scholar", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "BPBN74MB" ], "relations": {}, "dateAdded": "2014-06-27T13:38:01Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "RPVJ2C4S", "version": 161, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/195317/items/RPVJ2C4S", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers/items/RPVJ2C4S", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1284030, "username": "brianckeegan", "name": "Brian Keegan", "links": { "alternate": { "href": "https://www.zotero.org/brianckeegan", "type": "text/html" } } }, "creatorSummary": "Rottenberg", "parsedDate": "1956-06-01", "numChildren": 1 }, "data": { "key": "RPVJ2C4S", "version": 161, "itemType": "journalArticle", "title": "The Baseball Players' Labor Market", "creators": [ { "creatorType": "author", "firstName": "Simon", "lastName": "Rottenberg" } ], "abstractNote": "", "publicationTitle": "Journal of Political Economy", "publisher": "", "place": "", "date": "June 1, 1956", "volume": "64", "issue": "3", "section": "", "partNumber": "", "partTitle": "", "pages": "242-258", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Journal of Political Economy", "DOI": "", "citationKey": "rottenbergBaseballPlayersLabor1956", "url": "http://www.jstor.org/stable/1825886", "accessDate": "2014-06-22T04:11:59Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "JSTOR", "callNumber": "", "rights": "Copyright © 1956 The University of Chicago Press", "extra": "", "tags": [], "collections": [ "BPBN74MB" ], "relations": {}, "dateAdded": "2014-06-27T13:38:01Z", "dateModified": "2026-02-16T15:36:26Z" } }, { "key": "K55CHJ44", "version": 161, "library": { "type": "group", "id": 195317, "name": "Performance Spillovers", "links": { "alternate": { "href": "https://www.zotero.org/groups/performance_spillovers", "type": "text/html" } } }, "links": { "self": { 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Building on a dataset of 283,259 passes between professional soccer players, this study applies mixed-effects modeling to 76 repeated observations of the interaction networks and performance of 23 soccer teams. 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