Publication | Open Access
Quantifying and Minimizing Risk of Conflict in Social Networks
56
Citations
29
References
2018
Year
Unknown Venue
Prior OpinionsSocial InfluencePublic OpinionCommunicationSocial NetworkInfluence ModelSocial SciencesComputational Social ScienceSocial MediaMajority InfluenceSocial Network AnalysisSocial NetworksSocial Network AggregationCommunity StructureNetwork ScienceSocial ComputingSociologyArtsOpinion AggregationOpinion Divergence
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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