Structural evolution of intelligent collectives driven by homophily and heterophily
The integration of local aggregation and global integrity in the structure of intelli-gent collectives arouses the exploration of its underlying mechanisms in the academic community.The current mainstream explanation is the combination of structural embeddedness and struc-tural holes based on social capital,and the discussion of homophily and heterophily based on individual attributes is relatively insufficient.In addition,related work often adopts the method of agent-based modeling,which is divorced from the real network to a certain extent and cannot predict the formation of relationships.Accordingly,this paper uses the method of data analysis and deep learning to explore the driving role of homophily and heterophily in the structural evolution of intelligent collectives.The results show that the interactive networks of two in-telligent groups in two different fields investigated in this paper have experienced three stages(namely,loose clustering,chain structure,and small world state),showing good local aggregation and global integrity.During the network evolution,homophily promotes similar individuals to converge and form clusters;heterophily promotes the formation of connections between clusters.This study not only helps to further understand the underlying mechanisms of the structural evolution in intelligent collectives,but also provides a new idea for the analysis of evolutionary mechanisms in complex networks from the perspective of deep learning.Meanwhile,our work also has certain reference significance for the management practice of using social intelligence resources to implement open innovation.
NETL
NSTL
万方数据
