Influential Nodes Identification Based on Activity Behaviors and Network Structure With Personality Analysis in Egocentric Online Social Networks

Background

Influential nodes identification in OSNs has got attention of the researchers because of its significant business applications. Various techniques and algorithms have been proposed to identify influential users in a network.

First study in this field was carried out by Domingous and Richardson (2001). It has been considered as an algorithmic problem and the social networks have been represented as Markov random field in their work. They developed three algorithms for determining influential users which to be used for viral marketing. Later, few other Models have been proposed to identify influential users.