OPINION DYNAMICS IN POPULATIONS WITH IMPLICIT COMMUNITY STRUCTURE
Web encounter facilitate contacts between people from different communities outside space and time. Implicit Community Structure is exhibited because of highly connected links within community and sparse encounters between communities. Considering the imperceptible influence of encounter on opinions, Sznajd updating rules are used to mimic people's behaviors after encountering a stranger in another community. We introd uce a model for opinion evolution, in which the interconnectivity between different comm unities is represented as encounter frequency, and leadership is introduced to control the strength of community's opinion guide. In this scenario,the effects of Implicit Comm unity Structure of contact network on opinion evolution, for asymmetric and random initial distribution but with heterogeneous opinion guide, are investigated respectively. It is shown that large encounter frequency favors consensus of the whole populations and successful opinions preading, which is qualitatively agree with the results observed in Majority model defined on substrates with predefined community structure.
implicit community structure encounter opinion evolution statistical physics monte carlo