1 research outputs found
Evolutionary of Online Social Networks Driven by Pareto Wealth Distribution and Bidirectional Preferential Attachment
Understanding of evolutionary mechanism of online social networks is greatly
significant for the development of network science. However, present researches
on evolutionary mechanism of online social networks are neither deep nor clear
enough. In this study, we empirically showed the essential evolution
characteristics of Renren online social network. From the perspective of Pareto
wealth distribution and bidirectional preferential attachment, the origin of
online social network evolution is analyzed and the evolution mechanism of
online social networks is explained. Then a novel model is proposed to
reproduce the essential evolution characteristics which are consistent with the
ones of Renren online social network, and the evolutionary analytical solution
to the model is presented. The model can also well predict the ordinary
power-law degree distribution. In addition, the universal bowing phenomenon of
the degree distribution in many online social networks is explained and
predicted by the model. The results suggest that Pareto wealth distribution and
bidirectional preferential attachment can play an important role in the
evolution process of online social networks and can help us to understand the
evolutionary origin of online social networks. The model has significant
implications for dynamic simulation researches of social networks, especially
in information diffusion through online communities and infection spreading in
real societies.Comment: 19 pages, 8 figures,31 reference