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Social Network Analysis of College a...
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Xu, Carol.
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Social Network Analysis of College and Professional Basketball.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Social Network Analysis of College and Professional Basketball./
作者:
Xu, Carol.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:
93 p.
附註:
Source: Dissertations Abstracts International, Volume: 80-02, Section: B.
Contained By:
Dissertations Abstracts International80-02B.
標題:
Sports Management. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10827696
ISBN:
9780438175815
Social Network Analysis of College and Professional Basketball.
Xu, Carol.
Social Network Analysis of College and Professional Basketball.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 93 p.
Source: Dissertations Abstracts International, Volume: 80-02, Section: B.
Thesis (Ph.D.)--University of Washington, 2018.
This item must not be added to any third party search indexes.
Social network analysis (SNA) allows us to quantify cooperative team sports such as basketball, and compare different passing patterns' effects on a successful game. We analyzed games at both the college and professional level to identify common network metrics that predict a win. For both levels of competition, individual players who scored the most points per game were unlikely to also occupy the central position in their team's network; however, we found opposite effects of out-degree centralization on college vs. professional basketball. Other factors that significantly increase chances of success at the professional level include a team's total number of passes and level of reciprocity. These results may be used as a tool for coaching staff to improve their teams' strategies in concrete, measurable ways, and help track the level of cooperation among their players more easily.
ISBN: 9780438175815Subjects--Topical Terms:
2122869
Sports Management.
Social Network Analysis of College and Professional Basketball.
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Social network analysis (SNA) allows us to quantify cooperative team sports such as basketball, and compare different passing patterns' effects on a successful game. We analyzed games at both the college and professional level to identify common network metrics that predict a win. For both levels of competition, individual players who scored the most points per game were unlikely to also occupy the central position in their team's network; however, we found opposite effects of out-degree centralization on college vs. professional basketball. Other factors that significantly increase chances of success at the professional level include a team's total number of passes and level of reciprocity. These results may be used as a tool for coaching staff to improve their teams' strategies in concrete, measurable ways, and help track the level of cooperation among their players more easily.
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