Considering the bipolar social reinforcement which includes positive and negative effects, in
this paper we explore the rumor spreading dynamics in online social networks. By means of …

Hybrid opinion dynamics which involves two types of individuals (ie, leaders and followers)
communicate in real time and share opinions and knowledge have been widely used in …

In this paper, we propose a new method to evaluate the importance of nodes in a given
network. The proposed method is based on the PageRank algorithm. However, we have …

In this work we consider a model of epidemic spreading coupled with an opinion dynamics
in a fully-connected population. Regarding the opinion dynamics, the individuals may be in …

This paper addresses the need to deal with and control public opinion and rumors. Existing
strategies to control public opinion include degree, random, and adaptive bridge control …

Information diffusion is an important part of the social network. Information flows between the
individuals in the social networks to shape and update their opinions about various topics …

Abstract Information diffusion is considered as ubiquitous phenomena. There can be various
points of information flow in a social network eg, social contacts, media. People are …

The identification of communities has attracted considerable attentions in the last few years.
We propose a novel heuristic algorithm for overlapping community detection based on …

The dissemination of public opinion has a considerable impact on people's social lives, and
the question of how both the government and the media can correctly guide public opinion …

In this paper scalable method for cluster analysis based on random walks is presented. The
main aim of the algorithm introduced in this paper is to detect dense subgraphs. Provided …