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Social power and opinion formation in complex networks

Jalili, M ; Sharif University of Technology | 2013

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  1. Type of Document: Article
  2. DOI: 10.1016/j.physa.2012.10.013
  3. Publisher: 2013
  4. Abstract:
  5. In this paper we investigate the effects of social power on the evolution of opinions in model networks as well as in a number of real social networks. A continuous opinion formation model is considered and the analysis is performed through numerical simulation. Social power is given to a proportion of agents selected either randomly or based on their degrees. As artificial network structures, we consider scale-free networks constructed through preferential attachment and Watts-Strogatz networks. Numerical simulations show that scale-free networks with degree-based social power on the hub nodes have an optimal case where the largest number of the nodes reaches a consensus. However, given power to a random selection of nodes could not improve consensus properties. Introducing social power in Watts-Strogatz networks could not significantly change the consensus profile
  6. Keywords:
  7. Consensus ; Dynamic opinion formation ; Social networks ; Social power ; Complex networks ; Opinion formation ; Computer simulation ; Social networking (online)
  8. Source: Physica A: Statistical Mechanics and its Applications ; Volume 392, Issue 4 , 2013 , Pages 959-966 ; 03784371 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S0378437112009090?via%3Dihub