【摘要】：采用社會網(wǎng)絡(luò)分析法從整體網(wǎng)、局域網(wǎng)、個體網(wǎng)層面,對2016年歐洲杯1/8決賽匈牙利對陣比利時比賽雙方的傳球表現(xiàn)進行分析,探析社會網(wǎng)絡(luò)分析法用于足球比賽傳球表現(xiàn)研究的可行性。研究結(jié)果表明:1)從整體網(wǎng)層面來看,2只球隊的傳球網(wǎng)絡(luò)都具有密度高、距離短的特點,大部分球員之間都有過直接的傳球聯(lián)系,比利時隊向前傳球的趨勢更加明顯。2)從局域網(wǎng)層面來看,派系分析的結(jié)果顯示了匈牙利的傳球配合主要是集中在左路,打法單一,比利時隊傳球配合分散在左、中、右3個區(qū)域,打法更加靈活多變。核心邊緣分析的結(jié)果顯示,匈牙利傳球網(wǎng)絡(luò)核心球員大部分是后衛(wèi),比利時傳球網(wǎng)絡(luò)的核心球員大部分是中場,比利時隊傳球網(wǎng)絡(luò)的核心邊緣結(jié)構(gòu)更合理。3)從個體網(wǎng)層面來看,匈牙利隊傳球過于依賴中后場球員,參與進攻的球員多但是有威脅的傳球少,比利時隊的傳球主要圍繞中場球員展開,參與進攻的球員少但有威脅的傳球卻更多,傳球也比匈牙利更加順暢。4)社會網(wǎng)絡(luò)分析法用于足球比賽傳球表現(xiàn)研究是可行的,傳球網(wǎng)絡(luò)圖可以直觀的窺探傳球趨勢,網(wǎng)絡(luò)的密度和距離可以表示傳球的頻度和流暢度,派系分析可以研究局部傳球情況,核心-邊緣分析可以找出傳球網(wǎng)絡(luò)中的核心群體和邊緣群體,中心性分析可以評估球員在傳球網(wǎng)絡(luò)中扮演的角色。
[Abstract]:Using the social network analysis method, from the whole network, the local area network, the individual net level, carries on the analysis to the 2016 European Cup 1 / 8 final Hungary against Belgium's both sides passing performance, To explore the feasibility of using social network analysis method to study the performance of passing in football matches. The results show that: 1) from the overall network level, the passing networks of the two teams have the characteristics of high density and short distance, and most of the players have direct passing connections. From the local area network level, the results of faction analysis show that Hungary's passing cooperation is mainly concentrated on the left side, playing a single way, and the Billy team's passing cooperation is scattered in the left, in the middle. Right 3 regions, play more flexible. The core edge analysis shows that most of the core players in the Hungarian pass network are defenders, and the core players in the Belgian passing network are mostly midfield players. The core edge of Billy's passing network is more reasonable. 3) from the individual point of view, Hungary's passing is too dependent on the middle and back court players, with more attacking players but less threatening passes. Pyrenees' passing revolves around midfield players, with fewer but more threatening passes and smoother passes than Hungary. 4) Social network analysis is feasible for ball performance research in football. Passing network graph can intuitively pry the passing trend, the density and distance of the network can indicate the frequency and fluency of passing, and faction analysis can study the situation of local passing. The core-edge analysis can find out the core group and the edge group in the passing network, and the central analysis can evaluate the player's role in the passing network.
【作者單位】： 東華理工大學(xué)體育學(xué)院;貴陽學(xué)院體育學(xué)院;
【基金】：江西省體育局體育科研課題一般項目(課題編號:2015038)
【分類號】：G843

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