Evolutionary of online social networks driven by pareto wealth distribution and bidirectional preferential attachment
Evolutionary of online social networks driven by pareto wealth distribution and bidirectional preferential attachment
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帕累托财富分配和双向优先依恋驱动的在线社交网络的演化
DOI：
10.1016/j.physa.2018.05.049
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发表时间：
2017-12
期刊：
影响因子：
--
通讯作者：
Wang Nianxin
中科院分区：
文献类型：
--
作者：
Zhou Bin;Yan Xiao Yong;Xu Xiao Ke;Xu Xiao Ting;Wang Nianxin
了解在线社交网络的演化机制对网络科学的发展具有重要意义，但目前对这一问题的研究还不够深入。本研究首先实证性地揭示了人人网在线社交网络的本质演化特征。从帕累托财富分配和双向偏好依恋的角度解释了在线社交网络的演化机制。提出了一种新的模型来再现与人人网一致的演化特征，并给出了该模型的演化解析解.研究结果表明，帕累托财富分布和双向偏好依恋在在线社交网络的演化过程中起着重要作用，有助于我们理解在线社交网络的演化起源。该模型对社交网络的动态模拟研究，特别是对网络社区的信息传播和真实的社会中的传染传播具有重要意义。
Understanding of the evolutionary mechanism of online social networks is greatly significant for the development of network science, but up to now most present researches on this topic have not enough insight. In this study, firstly we empirically showed the essential evolution characteristics of Renren online social network. The evolution mechanism of online social networks is explained by the perspective of Pareto wealth distribution and bidirectional preferential attachment. Then a novel model is proposed to reproduce the evolution characteristics which are consistent with the ones of Renren online social network, and the evolutionary analytical solution to the proposed model was presented. The results suggest that both Pareto wealth distribution and bidirectional preferential attachment 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.
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DOI：
--
发表时间：
2009-01
期刊：
--
影响因子：
--
作者：
Sebastian Weber
通讯作者：
Sebastian Weber
相互依存的格子网络上的社会传染
影响因子：
4.6
作者：
Shu P;Gao L;Zhao P;Wang W;Stanley HE
通讯作者：
Stanley HE
时间延迟对社会传染动态的影响
影响因子：
3.3
作者：
Wang Wei;Stanley H Eugene;Braunstein Lidia A
通讯作者：
Braunstein Lidia A
影响因子：
10.5
作者：
Patrice Y. Perry-Rivers
通讯作者：
Patrice Y. Perry-Rivers
影响因子：
2
作者：
Klass, OS;Biham, O;Solomon, S
通讯作者：
Solomon, S