273 / 2024-04-23 22:31:32

The Evolution Model of Players' Cooperative Hypernetwork under the Background of Gaming Public Welfare

Hypernetwork evolution model,gamification public welfare,fitness,hypergraph

    With the development of society and the maturity of Internet technology, gamified public welfare has gradually become an effective means to promote social participation and guide public welfare behavior. Gamification provides a new way for the public to participate in public welfare. It attracts a large number of participants in the form of entertaining games, so that people can use their fragmented time to participate in public welfare activities efficiently and interestingly. The difference between the gamified public welfare platform and other online public welfare is the virtualization of its donation content, that is, users do not need to donate real money or materials, but can participate in public welfare projects in an interesting and entertaining way by completing game tasks and converting them into donations or materials. Current research on gamification for good suggests that more attention has been paid to exploring individual motivations, while relatively little research has been conducted from a community perspective. Public welfare behavior has obvious pro-social characteristics, and participation in public welfare requires not only individual strength, but also team strength. Team cooperation tasks have become one of the important channels for users to participate in public welfare in gamified public welfare platforms. With the combination of gamified social platforms and various social platforms, the formation - end - generation of cooperative tasks is a circular process, in which a huge cooperative network is formed.

     Based on the team cooperation mode of gamified public welfare players, this paper takes into account two possible characteristics of random connection and preferred connection when players cooperate in a team, introduces game achievement and participation intention as the parameters of optimal connection, builds a hypernetwork evolution model of gamified public welfare player cooperation, and conducts theoretical analysis and simulation analysis on the topological characteristics of the hypernetwork model. The effects of different fitness distributions on the topological features of the hypernetwork model are compared and analyzed. The fitness distribution function is determined by collecting the game achievement distribution data of players in the hobby industry social platforms such as Weibo and the private social platforms such as QQ.

     The results show that the hyperdistribution presents a power-law distribution and is independent of the size N of the hypernetwork. The model is stable, and the evolution scale does not affect the final evolution result of the model. The agglomeration coefficient of gamified public welfare user cooperation hypernetwork is large and the average distance is small, so the hypernetwork model has the characteristics of small-world and scale-free. In both hobby and private social platforms, most players join only a few cooperative teams, and very few players join multiple cooperative teams. In the social platform of interest industry, the ability of the node with large degree to obtain the edge is enhanced, and the phenomenon of "the rich get richer" is more obvious. When users' game achievements and participation intentions jointly affect users' teamwork cooperation, users with high game achievements tend to have great advantages in social platforms based on interest. In private social platforms, the probability of users who join less cooperative teams to cooperate with others is significantly affected by users' participation intentions. When the user chooses to join a large number of cooperative teams, this is more dependent on the user's game achievement level. This paper studies user cooperation in gamified public welfare from the perspective of network science, providing new ideas for research in the field of gamified public welfare, and providing theoretical basis for further understanding of real player cooperation in gamified public welfare.