Research On The Mutual Construction Characteristics Of Player And Team In High-level Volleyball Games

Using the theory and methods of social network analysis,based on the interactive relationship between players,from the perspective of the player's construction of the team's performance and the team's constraints on the player's personal behavior choices,discuss the player and team in high-level volleyball games Interstructural characteristics.The study used all 32 games of the men's and women's volleyball championship teams in the 2012 and 2016 Olympic volleyball matches as the research sample.Using social network analysis,taking players and game results as nodes and passing as the side,the player's interactive behavior of passing is conceptualized as a network structure.Kinovea-0.8.27 was used to collect sports performance data and batting coordinate data,and Upato was used to collect player pass interaction data.A total of 122 confrontation networks between teams and 244 cooperation networks within the team were generated in the study,and a total of 31,744 interactions were formed.Use UCINET 6 to collect the network attribute data of the player interaction structure,and use Gaphi to map the player interaction structure to the network.Finally,use statistical description,correlation analysis,analysis of variance and regression analysis to carry out mathematical statistics on various types of data.Constrained by the essential characteristics of the volleyball game,the research results show that: in the time dimension,the actual time of player interaction in a game is very short,and the live ball time of the game only accounts for 14.30%(male volleyball)and 18.84%(female volleyball)of the total game time.On the spatial dimension,the spatial position of player interaction in a game is unevenly distributed,reflecting the organization of the volleyball game's batting behavior in the spatial dimension;on the behavior dimension,the interaction resources between players in a game are very limited.The average number of hits in the game was 769.7 ± 151.3 times for men and 990.0 ± 254.5 times for women,reflecting the limited interactive behavior in volleyball.Among the structural characteristics of cooperation within the team,the research results show that the overall structure of player interactions exhibits power-law distribution characteristics.The main interactive structure of cooperation within the team is a "star" structure.Through binary logit regression analysis,it is shown that the three variables of the team's cooperation structure attributes,such as moderate central potential,clustering coefficient and total connection,have an influence relationship with the game results.The 29 variables between individual network attributes and team performance in different locations showed no significant differences.Among the structural characteristics of the confrontation between teams,the research results show that the confrontation structure between teams includes two parts: "core structure" and "auxiliary structure".There are very significant differences in the number distribution of different interaction relationships,and a few interaction relationships occupy a large number of interaction opportunities.In the correlation analysis of different structural attributes and team performance,the significant correlation between the variables in the core structure is obviously more than that in the auxiliary structure.Among them,each structural attribute variable in the core structure has a very significant positive correlation with the total number of offenses,offensive scores and offensive errors,and a significant negative correlation with the offensive scoring rate.For the men's volleyball game,the increase in the number of interactions in the core structure and auxiliary structure shows an impact on the total number of offenses,and the increase in the number of interactions in the auxiliary structure will affect the team's access to more offensive opportunities.Based on the results of the above relevant studies,the following 7 conclusions are drawn:(1)The application of social network analysis proves to be an effective tool for studying the team structure of volleyball games.It improves the limitations of traditional game analysis when discussing the team structure of volleyball games,and expands the interactive structure of players in volleyball games.And a further understanding of the interactive process.(2)Under the constraints of the multiplayer volleyball competition,the limited number of shots and the essential characteristics of short hitting time,high-level volleyball matches show ephemerality in the time dimension,and show in the two dimensions of space and behavior.Organizational and limited.(3)In a high-level volleyball game,the player-to-team construction has an interactive structure with scale-free network attributes,and player interactions are distributed in a power law,indicating the nonrandom nature of the player interaction structure.(4)The existence of key nodes in the player interaction structure makes the team show strong resistance in the face of random attacks,but also show obvious vulnerability in the face of targeted attacks against the core nodes.The characteristics of this "star" structure and "chain" structure make the level of competition of a team after the central node is constrained,which affects the degree of cooperation within the entire team.(5)As the number of player interactions increases,cooperation within the team becomes closer,more players participate in the interaction,while the negative team is more concentrated,and interaction tends to be individual players.(6)Differences in the player's personal network attributes do not directly affect the game results,but there is a significant difference between the overall structural attributes and the team's performance.The losing team often has more opportunities for interaction,and the winning team tends to have a higher The efficiency of interaction shows the non-simple aggregation of different players in the process of forming a team.(7)In the confrontation between teams,there is a significant correlation between the overall structural attributes of the team and the performance of the opponent team.The more concentrated the overall attributes of the player's interactive structure,the more it will affect the opponent's offensive opportunities,but the higher the team's competitive level,the smaller the impact on the opponent's attack success rate and attack efficiency.Finally,the overall performance of the team in the volleyball game is not only to find the optimal dimension in serving,defending,passing and attacking,but also to seek the trade-off in the invisible dimension of player interaction structure.