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长时间的队友关系是否会提高团队表现?对美国职业棒球大联盟数据的社会网络分析。

Do Long-time Team-mates Lead to Better Team Performance? A Social Network Analysis of Data from Major League Baseball.

机构信息

Claremont Graduate University, Claremont, CA, USA.

出版信息

Sports Med. 2018 Nov;48(11):2659-2669. doi: 10.1007/s40279-018-0970-9.

DOI:10.1007/s40279-018-0970-9
PMID:30097889
Abstract

OBJECTIVES

To estimate the effects of team-mate shared experience on overall team performance as well as to determine whether concentration of time together among subgroups of players and/or focal players enhances team performance.

METHODS

Social network analysis (SNA) was used to model 30 active Major League Baseball teams from 2006 to 2015 with years of experience together connecting players resulting in 300 individual team networks. Social network metrics of network density, network centralization, and average weighted degree were computed and analyzed with team attributes by generalized least squares regression to predict wins, and team rank. Logistic regression was used to predict binary outcomes of world series and division wins.

RESULTS

Network density was negatively associated with team rank (β = - 0.115, p = .05), while average weighted degree was positively associated with team rank (β = 0.147, p = .01). On average, each extra year of shared player time per team was associated with 14.86% higher probability of winning a division title (B = 2.69, exp(B) = 14.86, p = .05). Each extra shared year of infield membership among team-mates predicted 2.4% lower odds of winning the world series (B = -0.024, exp(B) = 0.976, p = .01), and each extra shared year between outfield players predicted 2.9% lower probability of winning a team's division (B = -0.029. exp(B) = 0.972, p = .05).

CONCLUSIONS

Prolonged shared time between players is beneficial when it is spread evenly among all players of the team, whereas having few focal players who have been on a team together for many years is a disadvantage to overall performance.

摘要

目的

评估队友共享经验对整体团队表现的影响,并确定球员亚群和/或焦点球员之间的集中时间是否会提高团队表现。

方法

使用社会网络分析(SNA)对 2006 年至 2015 年期间的 30 支活跃的美国职业棒球大联盟球队建模,将一起度过的年数连接在一起,从而产生 300 个个人团队网络。通过广义最小二乘法回归计算和分析社会网络密度、网络集中化和平均加权度等社会网络指标,以预测胜率和团队排名。使用逻辑回归预测世界系列赛和分区赛的二进制结果。

结果

网络密度与团队排名呈负相关(β=-0.115,p=0.05),而平均加权度与团队排名呈正相关(β=0.147,p=0.01)。平均而言,每个团队中共享球员时间增加一年,赢得分区冠军的概率就会增加 14.86%(B=2.69,exp(B)=14.86,p=0.05)。队友之间共享的外野手时间每增加一年,赢得世界大赛的几率就会降低 2.4%(B=-0.024,exp(B)=0.976,p=0.01),而中外野手之间共享的时间每增加一年,赢得球队分区的概率就会降低 2.9%(B=-0.029,exp(B)=0.972,p=0.05)。

结论

当球员之间的共享时间均匀分布在整个团队的所有球员之间时,延长共享时间是有益的,而拥有少数多年来一直在同一支球队的焦点球员对整体表现不利。

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