摘要
In this paper,we study the dynamic evolution of friendship network in SNS(Social Networking Site).Our analysis suggests that an individual joining a community depends not only on the number of friends he or she has within the community,but also on the friendship network generated by those friends.In addition,we propose a model which is based on two processes:first,connecting nearest neighbors;second,strength driven attachment mechanism.The model reflects two facts:first,in the social network it is a universal phenomenon that two nodes are connected when they have at least one common neighbor;second,new nodes connect more likely to nodes which have larger weights and interactions,a phenomenon called strength driven attachment(also called weight driven attachment).From the simulation results,we find that degree distribution P(k),strength distribution P(s),and degree-strength correlation are all consistent with empirical data.
In this paper,we study the dynamic evolution of friendship network in SNS （Social Networking Site）.Our analysis suggests that an individual joining a community depends not only on the number of friends he or she has within the community,but also on the friendship network generated by those friends.In addition,we propose a model which is based on two processes：first,connecting nearest neighbors;second,strength driven attachment mechanism.The model reflects two facts：first,in the social network it is a universal phenomenon that two nodes are connected when they have at least one common neighbor;second,new nodes connect more likely to nodes which have larger weights and interactions,a phenomenon called strength driven attachment （also called weight driven attachment）.From the simulation results,we find that degree distribution P（k）,strength distribution P（s）,and degree-strength correlation are all consistent with empirical data.
基金
Supported by Program for New Centurty Excellent Talents in University under Grant No. NCET-11-0597
the Fundamental Research Funds for the Central Universities under Grant No. 2012RC1002
