The Role of Homophily in the Emergence of Opinion Controversies

Gargiulo, Floriana; Gandica, Yérali

doi:10.18564/jasss.3448

Cited by 32 publications

(26 citation statements)

References 29 publications

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“…[42][43][44][45]) or the continuous space of opinions (see for example Refs. [13,[46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62]).…”

Section: Introductionmentioning

confidence: 99%

Noise induced unanimity and disorder in opinion formation

Kowalska-Styczeń

Malarz

2020

PLoS ONE

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We propose an opinion dynamics model based on Latané 's social impact theory. Actors in this model are heterogeneous and, in addition to opinions, are characterised by their varying levels of persuasion and support. The model is tested for two and three initial opinions randomly distributed among actors. We examine how the noise (randomness of behaviour) and the flow of information among actors affect the formation and spread of opinions. Our main research involves the process of opinion formation and finding phases of the system in terms of parameters describing noise and flow of the information for two and three opinions available in the system. The results show that opinion formation and spread are influenced by both (i) flow of information among actors (effective range of interactions among actors) and (ii) noise (randomness in adopting opinions). The noise not only leads to opinions disorder but also it promotes consensus under certain conditions. In disordered phase and when the exchange of information is spatially effectively limited, various faces of disorder are observed, including system states, where the signatures of self-organised criticality manifest themselves as scale-free probability distribution function of cluster sizes. Then increase of noise level leads system to disordered random state. The critical noise level above which histograms of opinion clusters' sizes loose their scale-free character increases with increase of the easy of information flow.

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“…[42][43][44][45]) or the continuous space of opinions (see for example Refs. [13,[46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62]).…”

Section: Introductionmentioning

confidence: 99%

Noise induced unanimity and disorder in opinion formation

Kowalska-Styczeń

Malarz

2020

PLoS ONE

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“…Los modelos bounded confidence clásicos solo consiguen generar diversidad débil si se dan ciertas condiciones muy restrictivas, cuando el confidence level es muy alto y los agentes nunca son influidos por los diferentes. Cuando el supuesto se relaja, aunque sea poco, los modelos acaban en consenso (Kurahashi-Nakamura, Mäs y Lorenz 2016, Duggins, 2017, Gargiulo y Gandica, 2017). En general, hay buenas razones para creer que estos modelos no pueden sostener diversidad fuerte (Duggins, 2017: 1.4., Mäs, Flache y Kitts 2014.…”

Section: Resultados De Los Modelosunclassified

“…No obstante, probablemente la verdad está en algún punto intermedio entre ambas posturas. De este modo, cada vez hay más modelos que incorporan el papel de los medios (Gargiulo y Gandica 2017;Grabowsky y Kosinsky 2006;Kurahashi-Nakamura, Mäs y Lorenz 2016;Watts y Dodds 2007). En la mayoría de modelos la influencia de los medios se incorpora como una modulación exógena.…”

Section: El Papel De Los Medios De Comunicación En La Formación De Launclassified

Modelos de dinámicas de la opinión. Una revisión de la literatura

Sánchez

Medina

2019

Rev. int. sociol.

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Explicación; Influencia social; Modelos basados en agentes; Simulación social; Sociofísica. Copyright: © 2019 CSIC. Este es un artículo de acceso abierto distribuido bajo los términos de la licencia de uso y distribución Creative Commons Reconocimiento 4.0 Internacional (CC BY 4.0). AbstractThe study of public opinion is turning in the last years, the study from the traditional descriptive approach with informative and advising purposes to a new explana-tory and generativist approach. This new perspective has focused on the construction and analysis of mod-els where local, microscopic, interactions generate macroscopic regularities in public opinion. The fertility of this new approach is causing a publication rhythm that can be overwhelming. In this paper, we present an up to date revision of the literature on opinion dynam-ics models. We present the main models and their extensions, and organize the exposition around ten axes that configure the content of each contribution. The paper also offers some reflections on the main chal-lenges for those social scientists that are interested in the dynamics of public opinion.

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“…Different topologies of network based models have been applied in the literature. These include adaptive network based models, where agents are able to rewire their links, such as Gargiulo and Huet (2010); Grauwin and Jensen (2012); Guo et al 2015; Kozma and Barrat (2008); Qiang et al (2008); Sousa et al (2008), while other models have utilized Erdos and Renyi random graphs (Gargiulo & Gandica, 2016;Kozma & Barrat, 2008). Guo et al (2015) considered small 2D lattices, similar to Sousa et al (2008), who modelled opinion dynamics through lattices and triad networks.…”

Section: Mobility Schemementioning

confidence: 99%

The role of homophily in opinion formation among mobile agents

Alraddadi

Allen

Colombo

et al. 2020

Journal of Information and Telecommunication

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Understanding the evolution and spread of opinions within social groups gives important insight into areas such as public elections and marketing. We are specifically interested in how psychological theories of interpersonal influence may affect how individuals change their opinion through interactions with their peers, and apply Agent-Based Modelling to explore the factors that may affect the emergence of consensus. We investigate the coevolution of opinion and location by extending the Deffuant-Weisbuch bounded confidence opinion model to include mobility inspired by the psychological theories of homophily and dissonance, where agents are attracted or repelled by their neighbours based on the agreement of their opinions. Based on wide experimentation, we characterize the time it takes to converge to a steady state and the local diversity of opinions that results, finding that homophily leads to drastic differences in the nature of consensus. We further extend our mobility model and add noise in order to check the model's robustness, finding that a number of opinion clusters survive even with high levels of noise.

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The Role of Homophily in the Emergence of Opinion Controversies

Cited by 32 publications

References 29 publications

Noise induced unanimity and disorder in opinion formation

Noise induced unanimity and disorder in opinion formation

Modelos de dinámicas de la opinión. Una revisión de la literatura

The role of homophily in opinion formation among mobile agents

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