The International Institute for Science, Technology and Education (IISTE)
Abstract
In the past decade we have seen that researchers have focused on the study of networks which are complex, dynamic and hierarchical structured. With the evolution, the network become more dense and dense, hence we say that the network shows a dynamic nature. Researchers have spot that the evolution process for Social or Complex network is not an arbitrary process rather there subsist some fundamental reasons behind their evolution process. For this particular reason we have designed the network as an undirected graph where vertex represents a member in the network and edges represents the relation among them. We create a model in which the edges appear as well disappear based on some parameters. In this work we consider deletion of edges apart from the addition. The deletion strategies consider the newly made links and the existing links. In this paper we present a model and also discuss whether this model predicts real social networks. Keywords: Social Networks, Score, Factors, Graph, Communities, Gephi, Networkx. DOI: 10.7176/CEIS/11-1-01 Publication date: January 31st 2020