The role of fanatics in consensus formation

Gündüç, Semra

doi:10.1142/s0129183115500291

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…In the real world interpersonal communication (like in artificial society), an individual may confront other people with diverse opinions. We use random-neighbour interaction rule to model such interaction among agents dependent on spatial location; wherein each agent randomly moves to a cell site with equal probability (Liu and Wang 2013;Gündüç 2015).…”

Section: Model Proceduresmentioning

confidence: 99%

“…We observed that an increment in the ZB leads to opinion shift towards majority opinion (B) even with the ZA that are well beyond critical population except in a few runs due to perturbations. Such an increase in supporters of majority opinion acts as a resistance (Gündüç 2015) for the opinion shift towards the ideology A (Fig. 14).…”

Section: Without External Influence and Zealots Of Old Ideologymentioning

confidence: 99%

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On the role of evangelism in consensus formation: a simulation approach

Sharma

Chourasia

Bhatia

et al. 2016

Complex Adapt Syst Model

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Purpose Opinions continuously evolve in society. While conservative ideas may get replaced by a new one, some views remain immutable. Opinion formation and innovation diffusion have witnessed lots of attention in the last decade due to its widespread applicability in the diverse domain of science and technology. We analyse these scenarios in which interactions at the micro level results in the changes in opinions at the macro level in a population of predefined ideological groups. Methods We use the Bass model, otherwise well known for understanding innovation diffusion phenomena, to compute adoption probabilities of three opinion states-zealot, extremists and moderates. Thereafter, we employ cellular automata to explore the emergence of opinions through local and overlapped interactions between agents (people). NetLogo environment has been used to develop an agent-based model, simulating different ideological scenarios. Results Simulation results validate a critical proportion of committed individuals as a plausible basis for ideological shifts in societies. The analysis elucidates upon the role of moderates in the population and emergence of varying opinions. The results further delineate the role of evangelism through social and non-social methods in propagating views. Conclusion The results obtained from these simulations endorse the conclusions reported in previous studies regarding the role of a critical zealot population, and the preponderance of non-social influence. We, however, use two-phase opinion model with different experimental settings. Additionally, we examine global observable, such as entropy of the system to reveal common patterns of adoption in the views and evenness of population after reaching a consensus.

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Section: Model Proceduresmentioning

confidence: 99%

Section: Without External Influence and Zealots Of Old Ideologymentioning

confidence: 99%

On the role of evangelism in consensus formation: a simulation approach

Sharma

Chourasia

Bhatia

et al. 2016

Complex Adapt Syst Model

View full text Add to dashboard Cite

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“…The united group may persuade the individuals living at the neighboring sites according to both the number and their persuasion ability. Also in other paper [18], we studied the role of fanatics in consensus formation. A model of opinion dynamics with two types of agents as social actors are presented, using the Ising thermodynamic model as the dynamics template.…”

Section: Introductionmentioning

confidence: 99%

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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The Effect of Social Media on Shaping Individuals Opinion Formation

Gündüç

2019

Complex Networks and Their Applications VIII

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In this paper, the influence of the social media on the opinion formation process is modeled during an election campaign. In the proposed model, peerto-peer interactions and targeted online propaganda messages are assumed to be the driving forces of the opinion formation dynamics. The conviction power of the targeted messages is based on the collected and processed private information. In this work, the model is based on an artificial society, initially evenly divided between two parties. The bounded confidence model governs peer-to-peer interactions with a value of confidence parameter which leads to consensus. The targeted messages which was modeled as an external interacting source of information convert some weakly committed individuals to break this evenness. Both parties use the same methods for propaganda. It is shown that a very small external influence break the evenness of the opinion distribution which play significant role in the election results. Obtained opinion fluctuation time series have close resemblance with the actual election poll results.

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The role of fanatics in consensus formation

Cited by 4 publications

References 10 publications

On the role of evangelism in consensus formation: a simulation approach

On the role of evangelism in consensus formation: a simulation approach

Zealots' effect on opinion dynamics in complex networks

The Effect of Social Media on Shaping Individuals Opinion Formation

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