Research on the Weighted Evolutionary Model of Short Message Networks

By analyzing some factual data from short message service database, more features of short message networks (SMNs) are captured, including degree distribution as well as weight distribution demonstrating the behavior of power-law with droop-head and heavy-tail, average vertex weight with vertex degree without power-law behavior etc. And then, a weighted evolutionary model (WEM) is proposed for SMNs by taking the short message interactive times between users as weights. The proposed WEM adopts a weighted local priority mechanism for node growing and a weight updating scheme which is based on the familiarity and recent contact frequency between users. Simulation results show that WEM fits real SMNs pretty well.