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A Simple Rule for the Evolution of Social Networks: Attraction and Repulsion between Individuals
CHEN Zhaodi * #
School of Computer Science and Engineering, Southeast University, Nanjing 211189
*Correspondence author
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Funding: none
Opened online:12 March 2014
Accepted by: none
Citation: CHEN Zhaodi.A Simple Rule for the Evolution of Social Networks: Attraction and Repulsion between Individuals[OL]. [12 March 2014] http://en.paper.edu.cn/en_releasepaper/content/4587432
 
 
Modeling the evolution of networks is important to understand complex systems. Considering network structure and individual attributes, a force-based model is proposed to simulate the evolution of social networks. Each node is endowed with a series of attributes. We construct a multi-dimensional space as the evolution environment. An attribute vector represents a position in the space. Individuals interact with each other obeying a simple rule that each node tends to move to a low energy position driven by attraction from its immediate neighbors and repulsion from all other nodes. So the evolution can be viewed as interaction among nodes, moving close or far away. A new position means a change of attributes. Network structure updates at last of each round. Edge exists only when its two endpoints' similarity distance is lower than a threshold. We validate the model and simulations show that though individual attributes change, the network keeps the power-law degree distribution and clusters emerge in the process of evolution.
Keywords:Social networks; Network evolution; Individual attributes ; Attraction and repulsion
 
 
 

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