Our school professor Wang Wenxu’s team published the paper in "Proceedings of the National Academy of Sciences" ("PNAS") entitled "Emergence of communities and diversity in social networks", which reveals the mechanism of the emergence of community modules through experiments in social networks, The reasons for the formation of norms, the role of social relationship structure and the emergence of group diversity and so on. Associate Professor Zhang Boyu of the School of Mathematical Sciences of our school is the co-author of the article.
Community and modular phenomena are widely found in various natural and social systems. Community within the module often show a certain degree of common, and the differences between them are obvious. Such as communities of Internet users, various social groups and organizations, and protein interaction modules. The community module is considered to play a key role in implementing the functions of various systems, and there are a number of algorithms that identify the structure of the community module. However, how the community module is generated and getting popular and what is the internal mechanism are still the fundamental question to be answered. Professor Wang Wenxu team took the lead through the ultimatum network game experiment clearly answered this fundamental question. Different types of fixed structure network experiment also found the phenomenon of spontaneous formation and stabilization of community module. The consistency of behavior within each community is formed, and the diversity and difference between societies are obvious. This finding was significantly different from the outcome of the unadjusted module in the control group. Microcosmic analysis of individual evolutionary behavior and strategy reveals the internal mechanism of the emergence of societies: Respondents with inherent heterogeneity needs and rational proponents have formed the community and social norms of diversity and stability due to the local interaction, of which Extreme responders eventually became leaders of the community. The conclusion of the study reveals the importance of local interaction structure for community cluster and social norms, and provides scientific basis for understanding, forecasting and controlling self-organization and group behavior in social, economic and financial systems.
The evolution of social module and the formation of social relations
（School of Systems Science）