Modeling the Preference Memory in Social Networks

This paper proposes a new social network model - Preference Memory Network (PMN) to overcome the common deficiency that existing network models do not take into account the heterogeneity of nodes and the memory feature on node connections preference. Experimental results shows that Preference Memory Network model have small-world, scale-free, high clustering coefficient and short average shortest path. Moreover, the network model has a certain community structure with analysis on modularity, which reflects the characteristic of social network real-world situations.