The Dissemination of Culture: A Model with Local Convergence and Global Polarization
Abstract
Despite tendencies toward convergence, differences between individuals and groups continue to exist in beliefs, attitudes, and behavior. An agent-based adaptive model reveals the effects of a mechanism of convergent social influence. The actors are placed at fixed sites. The basic premise is that the more similar an actor is to a neighbor, the more likely that that actor will adopt one of the neighbor's traits. Unlike previous models of social influence or cultural change that treat features one at a time, the proposed model takes into account the interaction between different features. The model illustrates how local convergence can generate global polarization. Simulations show that the number of stable homogeneous regions decreases with the number of features, increases with the number of alternative traits per feature, decreases with the range of interaction, and (most surprisingly) decreases when the geographic territory grows beyond a certain size.
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Discrete coverage as measured by Eq. (3) is an accurate measure of polarization for Axelrod's Dissemination of Culture model precisely because it is categorical.
“Discrete coverage as measured by Eq. ( 3) is also an accurate measure of polarization for Axelrod's Dissemination of Culture model precisely because it is categorical, even though he invokes some of the other concepts below when defining the term (Axelrod 1997).”
From Disambiguation of social polarization concepts and measures (2016) · cites this paper as Axelrod 1997
The traits of the agents in Axelrod's model are not cardinal values, and therefore other measures would be required to quantify some aspects of the polarization.
“even though the traits of the agents are not cardinal values and therefore other measures would be required to quantify some aspects of the polarization.”
From Disambiguation of social polarization concepts and measures (2016) · cites this paper as Axelrod, 1997
In Axelrod's model, the groups are endogenously defined, and the more groups the greater the polarization.
“In this case the groups are endogenously defined, and the more groups the greater the polarization.”
From Disambiguation of social polarization concepts and measures (2016) · cites this paper as Axelrod, 1997
In Axelrod's model of the dissemination of culture, polarization is characterized by the appearance of regions which are internally homogeneous and have no attributes in common with the other internally homogeneous regions.
“In Axelrod's well-known model of the dissemination of culture, polarization is characterized by the appearance of regions which are internally homogeneous and have no attributes in common with the other internally homogeneous regions (Axelrod, 1997).”
From Disambiguation of social polarization concepts and measures (2016) · cites this paper as Axelrod, 1997
Axelrod's model also requires group consensus and distinctness of the agents' traits.
“But it also requires group consensus and distinctness of the agents' traits.”
From Disambiguation of social polarization concepts and measures (2016) · cites this paper as Axelrod, 1997
Individuals are more influenced by those similar to them.
“Following the idea that we are more influenced by those similar to us, the node is then influenced as a function of the similarity with its interlocutors.”
From How digital media drive affective polarization through partisan sorting (2022) · cites this paper as [104]
Previous modeling approaches describe segregation of opinions by influence based on similarity in the opinion space, either through a confidence bound or through homophily.
“Previous modeling approaches describe segregation of opinions by influence based on similarity in the opinion space, either through a confidence bound [19, 20] or through homophily [21], the preference of agents to interact with similar individuals [22, 23].”
From Modeling echo chambers and polarization dynamics in social networks (2020) · cites this paper as [20]
The language model LLaMA recently gained attention for its relatively smaller size, making it more cost-effective to use.
“As such, the language model LLaMA recently gained attention for its relatively smaller size, making it more cost-effective to use 167 .”
From Machine culture (2023) · cites this paper as [167]
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- Authors
- Axelrod, R.
- Affiliations
- University of Michigan (US)
- Corresponding author
- Axelrod, Robert
- ORCID
- Axelrod, Robert
- Venue
- Journal of Conflict Resolution
- Publisher
- SAGE Publications
- Published
- 1997-04
- Volume
- 41
- Issue
- 2
- Pages
- 203-226
- ISSN
- 0022-0027 (ISSN-L)
- 1552-8766
- OpenAlex
- W2151789396
- Semantic Scholar
- fb771ded31b3ee935a3458bdb469d6151505bd0b
- Cited by
- 1,918
- References
- 65
- Citations by year
- 2026: 64 · 2025: 86 · 2024: 77 · 2023: 73 · 2022: 53 · 2021: 84 · 2020: 151 · 2019: 96 · 2018: 109 · 2017: 99 · 2016: 121 · 2015: 116 · 2014: 81 · 2013: 97 · 2012: 84
- FWCI
- 3.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Conflict Resolution (publishedVersion)
- Deep Blue (University of Michigan) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Social Sciences › Cultural Studies › Language and cultural evolution
- Social Sciences › Sociology and Political Science › Evolutionary Game Theory and Cooperation
- Keywords
- cultural diffusion, social influence, cultural convergence, cultural change, agent-based modeling, adaptive models, polarization, local convergence, interaction range, multiple features
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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