Quantifying And Minimizing Risk Of Conflict In Social Networks

Authors:
Xi Chen Dept. of Electronics and Information Systems, IDLab, Ghent University
Jefrey Lijffijt Dept. of Electronics and Information Systems, IDLab, Ghent University
Tijl De Bie Dept. of Electronics and Information Systems, IDLab, Ghent University

Introduction:

This paper studies controversy, disagreement, conflict, polarization and opinion divergence in social networks

Abstract:

Controversy, disagreement, conflict, polarization and opinion divergence in social networks have been the subject of much recent research. In particular, researchers have addressed the question of how such concepts can be quantified given people’s prior opinions, and how they can be optimized by influencing the opinion of a small number of people or by editing the network’s connectivity.

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