The impact of perspective communities on information flow in social networks

Abstract

Social networks are dynamic topologies with a set of nodes playing a significant role in the information flow transmission within the network. The appearance of new links in the network may change the role of nodes and conduct to a rapid information flow. For example an individual may belong to an online social network and a friendship network. The relationships between individuals in the mobile social network may not be reflected in the friendship one. We have confidence that overlapping networks with several kinds of interactions provide a fast propagation of information and helps to identify critical and/or non-critical nodes. This article aims to extend our previous work by injecting the perspective communities from a mobile social network from a sequence of time windows in a friendship social network. Centrality and distance measures were applied to validate the impact of perspectives communities on the quality of information flow.