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Social power and opinion formation in complex networks

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  • Jalili, Mahdi

Abstract

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.

Suggested Citation

  • Jalili, Mahdi, 2013. "Social power and opinion formation in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 959-966.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:4:p:959-966
    DOI: 10.1016/j.physa.2012.10.013
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    12. Yingcheng Xu & Li Wang & Bo Xu & Wei Jiang & Chaoqun Deng & Fang Ji & Xiaobo Xu, 0. "An information integration and transmission model of multi-source data for product quality and safety," Information Systems Frontiers, Springer, vol. 0, pages 1-22.
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    17. Yoon, Jisung & Park, Jinseo & Yun, Jinhyuk & Jung, Woo-Sung, 2023. "Quantifying knowledge synchronization with the network-driven approach," Journal of Informetrics, Elsevier, vol. 17(4).

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