The role of persuasion power on the consensus formation

Gündüç, Semra; Eryiğit, Resul

doi:10.1016/j.physa.2015.01.040

Cited by 2 publications

(2 citation statements)

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“…In a network (random graph), node i is connected to node j if there is a path from i to j. In connected or fully-connected graphs all of the nodes i and j are connected directly [17]. There are two methods to generate a network of the Erdős-Rényi random graph model: G(n, E): Of all possible graphs with n vertices and E edges, one of them is randomly selected.…”

Section: Random Networkmentioning

confidence: 99%

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Zealots' effect on opinion dynamics in complex networks

Moeinifar¹,

Gündüç²

2021

Math. Model. Comput.

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In this paper, we study zealots' effects on social networks. Our social network is based on scale-free networks using Barabasi–Albert method and random networks using Erdős–Rényi method. We used a pre-studied modified Voter model that includes zealots, individuals who never change their opinions. We chose prominent individuals (i.e. hubs) as zealots. In this way we first chose important individuals with high degree (hubs); second, individuals with high closeness. And then examined the consensus time compared with that zealots are chosen as non-important individuals. We found that the time to get to the consensus state in social networks is the same for different numbers of zealots but with the same degrees of contamination with zealotry. For example, one zealot's effect with a degree of 64 is same to 8 zealots' effects with a degree of 8.

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Section: Random Networkmentioning

confidence: 99%

“…Previously, the role of persuasion power on the consensus formation was studied in [17]. In that paper an opinion dynamics model which is based on a version of two dimensional Sznajd model is introduced.…”

Section: Introductionmentioning

confidence: 99%