پژوهش در مدیریت ورزشی و رفتار حرکتی

بررسی شاخص های شبکه اجتماعی در پست های مختلف بازی بسکتبال حرفه ای

مقالات آماده انتشار

نویسندگان

محمد مهدی خیرخیز
بهروز عبدلی
Lorenzo Laporta
علیرضا فارسی

دانشگاه شهید بهشتی تهران

چکیده
پژوهش حاضر با هدف بررسی شاخص های شبکه اجتماعی در پست های مختلف بازی بسکتبال انجام شد. تحلیل متغیرهای شبکه در دو سطح میکرو (فردی) و ماکرو (تعامل کل تیم) انجام گرفت. 24 بازی تیم بسکتبال شیمیدر در رقابت های لیگ برترایران سال1400 به صورت نمونه گیری در دسترس انتخاب شد. شاخص های شبکه شامل درجه مرکزیت، میانگذری، نزدیکی، بردار ویژه و چگالی در بین موقعیت‌های بازی بررسی شد. نتایج ANOVA یک طرفه در سطح میکرو، تفاوت های آماری بین موقعیت های بازی درشاخص های درجه مرکزیت (000/0=P .29/61=(4.15)F)، میانگذری (000/0=P .11/210=(4.15)F) و نزدیکی (000/0=P .55/78=(4.15)F) نشان داد اما در شاخص بردار ویژه (184/0=P .58/1=(4.15)F) تفاوتی مشاهده نشد. نتایج آزمون تعقیبی بین بازیکن موقعیت 1 (پوینت گارد) و سایر موقعیت ها تفاوت معنی داری را نشان داد. چگالی تیمی در سطح ماکرو تفاوت معنی داری بین نتایج عملکرد در شبکه های موفق و ناموفق نشان داد. نقش بازیکن پوینت گارد به عنوان موقعیتی که بیشترین تعامل را با هم تیمی ها در طول مسابقه برقرار می کند مشاهده شد. از طرف دیگر بازیکنی که نقطه اتکا تیم است ضروتا امتیازآورترین بازیکن تیم نمی باشد. این نتایج ممکن است به‌عنوان ابزاری برای مربیان استفاده شود تا استراتژی‌ تیم خود را به روش‌ مشخص و قابل اندازه‌گیری بهبود بخشند.

کلیدواژه‌ها

بسکتبال حرفه ای
تحلیل شبکه اجتماعی
تحلیل بازی
عملکرد
ورزش های تیمی

عنوان مقاله English

Investigation of social network variables in different positions of professional basketball game

نویسندگان English

Mohammad Mehdi Kheirkhiz
Behrouz Abdoli
Lorenzo Laporta
Alireza Farsi
Shahid Beheshti University, Tehran
چکیده English

The present study aims to investigate the variables of social networks in different positions in basketball. These variables were applied in two levels of analysis: micro (individual) and macro (global interaction of the team). 24 official Chemidoor Club competitions in the 2020 men's Iranian Premier League were selected by available sampling. This research analyzed the network properties of Degree, Betweenness, Closeness, Eigenvector, and Density centrality across teams and positions. The one-way ANOVA for the factor position in the micro-level found statistical differences between the game positions in the dependent variables of Dc: (F(4,15)= 61/29, p= 0/000), Bc: (F(4,15)= 210/11, p= 0/000), Cc: (F(4,15)= 78/55, p= 0/000). However, no significant difference was observed in the Eig: (F (4, 15) = 1/58, p= 0/184). Results of post hoc test indices were significantly different between position 1 (point guard) and other positions. Macro-level team density analysis showed a significant difference between performance results in successful and unsuccessful. The guard player role was observed as the situation that establishes the most interactions with teammates during the competition. Therefore, players with higher degrees were not the ones assisting the most shots. The other players with higher degrees were not the ones assisting the most shots. These results may be used as a tool for coaching to improve their teams’ strategies in concrete, measurable ways.

کلیدواژه‌ها English

Professional Basketball
Social Network Analysis
Mach Analysis
performance
Team Sports
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پژوهش در مدیریت ورزشی و رفتار حرکتی

مقالات آماده انتشار، پذیرفته شده
انتشار آنلاین از 01 آبان 1399