Modeling Information Flow in Social Networks: Metrics and Evaluation

Abstract

Social network analysis is a key concept in analyzing the pattern of communication between various individuals in a social network. Various traditional metrics like centrality measures are used in literature to examine the interactions between various nodes. In this paper main aim of our analysis is to quantify the influential property of a node as well as path followed for information flow from one node to another node. To achieve this purpose statistical analysis and visualization is performed with the help of experimental setup and social network visualization tools.