Emergence of communities and diversity in social networks

Abstract

SignificanceUnderstanding how communities emerge is a fundamental problem in social and economic systems. Here, we experimentally explore the emergence of communities in social networks, using the ultimatum game as a paradigm for capturing individual interactions. We find the emergence of diverse communities in static networks is the result of the local interaction between responders with inherent heterogeneity and rational proposers in which the former act as community leaders. In contrast, communities do not arise in populations with random interactions, suggesting that a static structure stabilizes local communities and social diversity. Our experimental findings deepen our understanding of self-organized communities and of the establishment of social norms associated with game dynamics in social networks.

The way to uncover community structure with core and diversity

“…Communities are common and play a significant role in the functioning of complex systems. Inspired by the ultimatum game experiment in reference [31] and our former work [32], in this paper, we propose one simple and efficient community detection method. Our method could detect the community structure of complex systems efficiently by merging components of the closest proximity.…”

“…For finding meaningful communities, it is better to follow the real process of community formation or construction. Han et al tried to explore this process by ultimatum game experiment [31]. In real-life systems, communities are constructed by individuals with the choosing of friends.…”

“…Incorporating the two community detection considerations above, the elusive question is how communities with common internal properties arise? Inspired by the ultimatum game experiment in reference [31], in this paper, we propose one simple and efficient community detection method based on this elusive question. This method is able to cluster complex systems efficiently by merging components of the closest proximity into the same community.…”

“…al. in[31]. {25, 26} is recognized 7 number of communities number of appearance detailed structure number of…”

“…And CCom 1 and CCom 2 are connected by the tide(10,34). Finally, node 12 is added to CCom 2 through its connection to node 1.CCom 1 = {33,34,9,24,30,31,32,15,16,19,21,23,25,26,27,28, 29} CCom 2 = {1, 2, 3, 4, 8, 14, 5, 6, 7, 11, 13, 17, 18, 20, 22, 10, 12} RCom = {CCom 1 , CCom 2 }The tide(10,34) causes the merging of CCom 1 and CCom 2 into the real-community…”