Homophily dynamics outweigh network topology in an extended Axelrod’s Cultural Dissemination Model

Dinkelberg, Alejandro; MacCarron, Pádraig; Maher, Paul J.; Quayle, Michael

doi:10.1016/j.physa.2021.126086

Cited by 3 publications

(7 citation statements)

References 25 publications

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“…The likelihood of interaction now includes positions where the agents have identical values and where the features are within the agreement threshold. The new mechanism is similar to the latitude of acceptance from the Social Judgement Theory set up by Sherif & Hovland (1962) (for a more detailed description, see SI in Dinkelberg et al 2021a).…”

Section: Supplementary Information Agreement-threshold Modelmentioning

confidence: 97%

“…Previous work shows that the Axelrod model is well-suitable for use with attitudinal survey data (MacCarron et al 2020b;Dinkelberg et al 2021a). The number of survey items from the survey corresponds to the features in the model, whereas the number of response options on a scale defines the number of traits.…”

Section: 3mentioning

confidence: 99%

“…We apply three longitudinal survey data sets to seed the opinion dynamics models (see Dinkelberg et al 2021a). By having data in two or more time points, we know the previous and later stages of the participants.…”

Section: 7mentioning

confidence: 99%

“…The underlying social network in survey data is generally unknown and, therefore, we cannot know who can influence who. However, in recent work on placing the Axelrod model on different topologies (e.g., random network; complete graph), it was shown that the topology does not affect the behaviour of the model; rather the homophily parameter of the agents outweighs the topology of the underlying network (Dinkelberg et al 2021a). As in MacCarron et al (2020b), we soften the assumption of cultural regions and explicitly observe here the forming of opinion-based groups (groups around shared attitudes (Bliuc et al 2007), based on similar or identical feature vectors).…”

Section: 5mentioning

confidence: 99%

“…The usual approach is to initialise the model with cultural vectors that are uniformly randomly distributed (Axelrod 1997). The agreement-threshold model has already been tested with the uniformly randomly distributed conditions (MacCarron et al 2020b;Dinkelberg et al 2021a). Here, we change the initial conditions and seed the model with longitudinal data sets on political and health-related attitudes, but keep the agreement threshold the same.…”

Section: 4mentioning

confidence: 99%

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Dyadic Interaction Shapes Social Identity in the Axelrod Model Using Empirical Data

Dinkelberg

MacCarron

Maher

et al. 2023

JASSS

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Group dynamics and inter-group relations influence the self-perception. The Social Identity Approach explains the role of multiple identities, derived from categories or group memberships, in social interaction and individual behaviour. In agent-based models, agents interact with their environment to make decisions and take actions. Thus, we examine to what extent the interaction in an agent-based model natively captures core principles of the Social Identity Approach. To do so, we extend the Axelrod model and the agreementthreshold model with explicit aspects of the Social Identity Approach to assess their influence on the simulation outcomes. We study the variants of the Axelrod model by using Monte Carlo simulations and compare the simulation results with longitudinal survey data of opinions. These extensive simulations favour the Axelrod model and the agreement-threshold model. These models fit, without the explicit embedding of features from the Social Identity Approach, the volatility of the opinion-based features better for the given data sets. Our two extensions of the Axelrod model formalise elements of the Social Identity Approach; however, they do not support the fitness of the model to the data. In the simulations, even in the standard Axelrod model, the social identity affects the development of the agents' identity through the homophily principle, and the agents, in turn, shape their own social identity by social influence. We argue that the Axelrod model and the agreement-threshold model implicitly include social identities as emerging properties of evolving opinion-based groups. In addition to that, the attitudinal data captures the hidden group structure in the attitude positions of the participants. In this way, core features of the Social Identity Approach already implicitly play a role in these empirically-driven agent-based models.

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Section: Supplementary Information Agreement-threshold Modelmentioning

confidence: 97%

Section: 3mentioning

confidence: 99%

Section: 7mentioning

confidence: 99%

Section: 5mentioning

confidence: 99%

Section: 4mentioning

confidence: 99%

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Dyadic Interaction Shapes Social Identity in the Axelrod Model Using Empirical Data

Dinkelberg

MacCarron

Maher

et al. 2023

JASSS

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Effects of relative homophily and relative heterophily on opinion dynamics in coevolving networks

Wu,

Guo

2024

Physica A: Statistical Mechanics and its Applications

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Innovation of Chinese Culture External Communication Based on Multivariate Statistical Analysis

Fan,

Wang

2023

Applied Mathematics and Nonlinear Sciences

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With the development of economic globalization, the influence produced by cultural soft power has an irreplaceable role in the comprehensive strength of a country. In this paper, principal component analysis is used to classify the main factors affecting the effect of cultural communication, and factor analysis is combined to construct the effect dimensions of Chinese cultural communication. Pearson’s correlation is used to test the correlation between the effect of cultural communication and the four communication factors: degree of cultural satisfaction, degree of cultural cognition, development prospect and degree of publicity. From the perspective of social media information dissemination, a cultural communication model is constructed by combining social networks and used to analyze the effects of cultural communication. Combined with the effect of Chinese culture’s communication with the outside world, a communication path to optimize communication media to improve media influence rates is proposed. The results show that the correlation coefficient between the communication effect and the satisfaction degree factor is 0.348**, and the correlation with the publicity factor is 0.317**, of which the most relevant to the communication effect is the cultural cognition factor, with a correlation of 0.412**. The number of cultural communicators first shows an increasing trend and reaches the maximum value at the moment of t=7, then gradually decreases from the maximum value and finally decreases to 0 at t=15. The influence of cultural communication in the network increases as the media influence rate increases.

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Homophily dynamics outweigh network topology in an extended Axelrod’s Cultural Dissemination Model

Cited by 3 publications

References 25 publications

Dyadic Interaction Shapes Social Identity in the Axelrod Model Using Empirical Data

Dyadic Interaction Shapes Social Identity in the Axelrod Model Using Empirical Data

Effects of relative homophily and relative heterophily on opinion dynamics in coevolving networks

Innovation of Chinese Culture External Communication Based on Multivariate Statistical Analysis

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