The DOI matches its Crossref record; 63 of the 65 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
In the citing paper
“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 the citing paper
“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 the citing paper
“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
In the citing paper
“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
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
Citations
Cites
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
Imagined Communities. Reflections on the Origin and Spread of Nationalism
Reid, A. J. S. (1985) · Pacific Affairs · doi:10.2307/2759245 · Cited by 25,964
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
An Evolutionary Theory of Economic Change.
Loasby, B. J., Nelson, R. R., & Winter, S. G. (1983) · The Economic Journal · doi:10.2307/2232409 · Cited by 21,426
The Interpretation of Cultures
Dadze-Arthur, A. F. (2017) · Macat Library eBooks · doi:10.4324/9781912128310 · Cited by 16,510
Putnam, R. D., Leonardi, R., & Nanetti, R. Y. (1994) · Princeton University Press eBooks · doi:10.1515/9781400820740 · Cited by 12,946
Duflo, E. (2019) · AEA Papers and Proceedings · doi:10.1257/pandp.109.612 · Cited by 11,235
Powers, C. H., & Giddens, A. (1988) · Social Forces · doi:10.2307/2579442 · Cited by 8,854
Culture and the Evolutionary Process
Griesemer, J. R., Boyd, R. T., & Richerson, P. J. (1986) · Ornithological Applications · doi:10.2307/1367778 · Cited by 7,133
(1985) · American Economic Review · Cited by 6,056
Research works printed but not linked: 16
- Abramson, J., The electronic commonwealth
- Bremer, S. A., Problems of world modeling
- Brown, T. A., European Conference on Artificial Life
- Coleman, J. S., Community conflict
- David, P. A., 1985, American Economic Review, 75, 332
- Deutsch, K. W., Nationalism and social communication: An inquiry in the foundations of nationality
- Deutsch, K. W., Nationalism and its alternatives
- Fukuyama, F., Trust
- Hannan, M. T., National development and the world system, 253
- Homans, G. C., The human group
- 10.2307/20045621 · DOI
- Kroeber, A. L., 1952, Papers of the Peabody Museum, 47, 643
- Lipset, S. M., Union democracy
- Putnam, R. D., 1995, Democracy, 6, 66
- Renfrew, C., The explanation of social influence: Models in prehistory
- Terrell, J., 1977, Fieldiana Anthropology, 68, 1
Cited by
Sorted by citations
Items 901–1,000 of 1,001
Epistasis between cultural traits causes paradigm shifts in cultural evolution
Pascual, I., Aguirre, J., Manrubia, S. C., & Cuesta, J. A. (2020) · Royal Society Open Science · doi:10.1098/rsos.191813 · Cited by 8
Towards fine grained human behaviour simulation models
Singh, M., Duggirala, M., Hayatnagarkar, H. G., Patel, S., & Balaraman, V. (2016) · Winter Simulation Conference · doi:10.1109/wsc.2016.7822375 · Cited by 9
Group Abstraction for Large-Scale Agent-Based Social Diffusion Models with Unaffected Agents
Sharpanskykh, A., & Jan Treur, A. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-25044-6_12 · Cited by 8
Idea Propagation in Social Networks: The Role of 'Cognitive Advantage'
Simpkins, B. G., Sieck, W. R., Smart, P. R., & Mueller, S. T. (2009) · ePrints Soton (University of Southampton) · doi:10.5281/zenodo.13863208 · Cited by 8
Computational Explorations of Creativity and Innovation in Design
Sosa, R. (2005) · Cited by 8
The Contractual Role of Boundaries: Law and Economics Meets International Organization
Yarbrough, B. V., & Yarbrough, R. M. (2003) · European Journal of International Relations · doi:10.1177/135406610394002 · Cited by 8
Convention evolution in organizations and markets
Tennenholtz, M. (1997) · Computational and Mathematical Organization Theory · doi:10.1007/bf00132312 · Cited by 8
Bilateral Collaboration and Emergent NetworksPreprint
Cowan, R., Jonard, N., & Zimmermann, J.-B. (2005) · SSRN Electronic Journal · doi:10.2139/ssrn.882420 · Cited by 6
Lack of quality discrimination in online information markets.Preprint
Qiu, X., Oliveira, D. F. M., Shirazi, A. S., Flammini, A., & Menczer, F. (2017) · arXiv (Cornell University) · Cited by 8
Emotional Analysis of Blogs and Forums DataPreprint
Wero\'nski, P., Sienkiewicz, J., Paltoglou, G., Buckley, K., Thelwall, M. A., & Ho{\l}yst, J. A. (2011) · arXiv (Cornell University) · doi:10.12693/aphyspola.121.b-128 · Cited by 8
RISE OF THE CENTRIST: FROM BINARY TO CONTINUOUS OPINION DYNAMICSPreprint
Baker, G. A., & Hague, J. P. (2008) · Cited by 8
The diffusion of norms in the international system
Ring, J. J., Paik, A., Kadera, K. M., Thies, C. G., Boehmke, F. J., & Osborn, T. (2014) · doi:10.17077/etd.oxcbk6kq · Cited by 8
Iqbal, M., Singh, K., Khan, S., Osho, O., Sidnam-Mauch, E., Bannister, N. A., Caine, K. E., & Knijnenburg, B. P. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100425 · Cited by 14
Abortion Policies in a Polarizing World Society, 1970 to 2020
Cole, W. M. (2025) · American Sociological Review · doi:10.1177/00031224251335964 · Cited by 7
Engineering Internal Domain-Specific Language Software for Lattice-based Simulations
Hawick, K. A. (2012) · doi:10.2316/p.2012.790-043 · Cited by 7
Signs of universality in the structure of culture
Băbeanu, A.-I., Talman, L., & Garlaschelli, D. (2017) · The European Physical Journal B · doi:10.1140/epjb/e2017-80337-7 · Cited by 7
Consensus and Equilibria in the Presence of Self-Interest and Conformity in Social Groups
Álvarez, E., & Brida, J. G. (2017) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2018.11.060 · Cited by 7
Checking Simulations: Detecting and Avoiding Errors and Artefacts
Galán, J. M., Izquierdo, L. R., Izquierdo, S. S., Santos, J. I., del Olmo, R., & López‐Paredes, A. (2013) · Understanding complex systems · doi:10.1007/978-3-540-93813-2_6 · Cited by 7
Cultural heterogeneity constrains diffusion of innovations
Pineda, A. M., Reia, S. M., Connaughton, C., Fontanari, J. F., & Rodrigues, F. A. (2023) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/aceeab · Cited by 7
The functional aspects of selective exposure for collective decision-making under social influence
Oh, P., Peh, J. W., & Schauf, A. (2024) · Scientific Reports · doi:10.1038/s41598-024-56868-8 · Cited by 10
Qi, Y., Zhuang, S., Yu, X., Zhao, Z., Sun, W., Li, Z., Qiu, J., Shi, Y., Liu, F., del Genio, C. I., et al. (2025) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2024.115983 · Cited by 7
Convergence Analysis of Weighted-Median Opinion Dynamics With Prejudice
Zhang, R., Liu, Z., Chen, G., & Mei, W. (2025) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2025.3530877 · Cited by 7
Abdollahian, M. A., Yang, Z., & Neal, P. D. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-05579-4_1 · Cited by 7
Dynamics of Social Complex Networks: Some Insights into Recent Research
Lozano, S. (2009) · Birkhäuser Boston eBooks · doi:10.1007/978-0-8176-4751-3_8 · Cited by 7
Artificial Creative Systems and the Evolution of Language
Saunders, R. N. (2011) · Cited by 7
Ising model on evolution networks and its application on opinion formation
Zhu, X.-L., Zhang, H., Sang, J.-P., Huang, S., & Zou, X. (2014) · Chinese Physics B · doi:10.1088/1674-1056/23/6/068701 · Cited by 7
Sampling networks by nodal attributes
Murase, Y., Jo, H.-H., Török, J., Kertész, J., & Kaski, K. K. (2019) · Physical review. E · doi:10.1103/physreve.99.052304 · Cited by 7
Network Origins of the Global Economy: East vs. West in a Complex Systems Perspective
Root, H. L. (2020) · Cited by 7
Phase Transition of a Non-linear Opinion Dynamics with Noisy Interactions
d’Amore, F., Clementi, A. E. F., & Natale, E. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-54921-3_15 · Cited by 7
Sure Event Problem in Multicomponent Dynamical Systems with Attractive Interaction
Koshmanenko, V. D., & Сатур, О. (2020) · Journal of Mathematical Sciences · doi:10.1007/s10958-020-04962-3 · Cited by 7
Randomness, Emergence and Causation: A Historical Perspective of Simulation in the Social Sciences
Seri, R., Secchi, D., & Martinoli, M. (2022) · Springer proceedings in mathematics & statistics · doi:10.1007/978-3-030-95703-2_7 · Cited by 7
Computational Science of Religion
Lane, J. E., & Shults, F. L. (2020) · Journal for the Cognitive Science of Religion · doi:10.1558/jcsr.38669 · Cited by 7
Dimension-reduction of dynamics on real-world networks with symmetry
Ward, J. A. (2021) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.2021.0026 · Cited by 7
Modeling the power of polarization
Waldrop, M. M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2114484118 · Cited by 7
The diffusion of goods with multiple characteristics and price premiums: an agent-based model
Lopez-Merino, P., & Rouchier, J. (2022) · Applied Network Science · doi:10.1007/s41109-022-00447-1 · Cited by 7
Cui, P.-B. (2023) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2023.128714 · Cited by 7
Voting-based Opinion Maximization
Saha, A., Ke, X., Khan, A., & Lakshmanan, L. V. S. (2023) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde55515.2023.00048 · Cited by 7
Computational Explorations of Compatibility and Innovation
Sosa, R., & Gero, J. S. (2008) · Springer eBooks · doi:10.1007/978-0-387-75456-7_2 · Cited by 7
Aggregation and Emergence in Agent-Based Models: A Markov Chain Approach
Banisch, S., Lima, R., & Araújo, T. (2013) · Springer proceedings in complexity · doi:10.1007/978-3-319-00395-5_1 · Cited by 7
From theory to simulation: the dynamic political hierarchy in country virtualisation models
Lustick, I. S., Alcorn, B., Garcés, M., & Ruvinsky, A. (2012) · Journal of experimental and theoretical artificial intelligence (Print) · doi:10.1080/0952813x.2012.693841 · Cited by 25
Multi-Equilibria Regulation Agent-Based Model of Opinion Dynamics in Social Networks
Koulouris, A. G., Katerelos, I. D., & Tsekeris, T. (2013) · Interdisciplinary Description of Complex Systems · doi:10.7906/indecs.11.1.5 · Cited by 7
An electoral preferences model based on self-organizing maps
Neme, A., Hernández, S., & Castillo, O. N. (2011) · Journal of Computational Science · doi:10.1016/j.jocs.2011.08.003 · Cited by 7
A model of deliberation based on Rawls’s political liberalism
Benhenda, M. (2010) · Social Choice and Welfare · doi:10.1007/s00355-010-0469-2 · Cited by 7
CONTINUOUS OPINION DYNAMICS ON AN ADAPTIVE COUPLED RANDOM NETWORK
LUO, S., Xia, H., & Yin, B. (2014) · Advances in Complex Systems · doi:10.1142/s021952591450012x · Cited by 7
Lassiter, C., Norasakkunkit, V., Shuman, B., & Toivonen, T. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00812 · Cited by 8
Reinforcement of brands of faith with the paradox of cultural divergence in Indian perspective
Gnanakumar, P. B. (2020) · European Business Review · doi:10.1108/ebr-03-2019-0049 · Cited by 8
Topîrceanu, A. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.115289 · Cited by 7
Analysis of opinion dynamics under binary exogenous and endogenous signals
Varma, V. S., Morărescu, I., & Ayouni, M. (2020) · Nonlinear Analysis Hybrid Systems · doi:10.1016/j.nahs.2020.100910 · Cited by 7
Endogenous intangible resources and their place in the institutional hierarchy
Tubadji, A., Angelis, V., & Nijkamp, P. J. (2015) · Review of Regional Research · doi:10.1007/s10037-015-0097-5 · Cited by 7
Lorenz, J. (2012) · VS Verlag für Sozialwissenschaften eBooks · doi:10.1007/978-3-531-19606-0_2 · Cited by 7
Simulating the Effects of Cross-Generational Cultural Transmission on Language Change
Gong, T., & Shuai, L. (2015) · Understanding complex systems · doi:10.1007/978-3-662-47238-5_11 · Cited by 7
Fixation Results for the Two-Feature Axelrod Model with a Variable Number of Opinions
Lanchier, N., & Moisson, P.-H. (2015) · Journal of Theoretical Probability · doi:10.1007/s10959-015-0623-y · Cited by 7
The Center Cannot Hold: Networks, Echo Chambers, and Polarization
DellaPosta, D., & Macy, M. W. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781139924627.006 · Cited by 5
Why do echo chambers form? The role of trust, population heterogeneity, and objective truth.
Perfors, A., & Navarro, D. (2019) · eScholarship (California Digital Library) · Cited by 7
Introduction to “Learning Strategies and Cultural Evolution During the Palaeolithic”
Aoki, K., & Mesoudi, A. (2015) · Springer eBooks · doi:10.1007/978-4-431-55363-2_1 · Cited by 7
Aperiodic dynamics in a deterministic model of attitude formation in social groups
Ward, J. A., & Grindrod, P. (2013) · arXiv.org · doi:10.1016/j.physd.2014.05.006 · Cited by 3
Limiting behavior for a general class of voter models with confidence threshold
Lanchier, N., & Scarlatos, S. (2017) · Latin American Journal of Probability and Mathematical Statistics · doi:10.30757/alea.v14-05 · Cited by 7
Social Norms, Cognitive Dissonance and Broadcasting: How to Influence Economic Agents
Bertie, A. J., Himmelweit, S., & Trigg, A. B. (2007) · Springer eBooks · doi:10.1007/3-540-37249-0_17 · Cited by 7
DYNAMICS OF DISCRETE OPINIONS WITHOUT COMPROMISE
Ozturk, M. (2013) · Advances in Complex Systems · doi:10.1142/s0219525913500100 · Cited by 7
Agent-Based Explanations for the Survival of Disagreement in Social Networks
Johnson, P. E., & Huckfeldt, R. (2002) · Cited by 7
Multi-agent based models of social contagion and emergent collective behavior
Gautam, D., Singh, R. R., & Singh, V. K. (2009) · International Conference on Intelligent Agent & Multi-Agent Systems (IAMA) · doi:10.1109/iama.2009.5228082 · Cited by 7
Changing identities and international relations theory: A cautionary note
Dombrowski, P. J., & Rice, T. W. (2000) · Nationalism and Ethnic Politics · doi:10.1080/13537110008428613 · Cited by 7
Clustering and coexistence in the one-dimensional vectorial Deffuant modelPreprint
Lanchier, N., & Scarlatos, S. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1405.1497 · Cited by 7
Social Processes, Physical Models of
(2011) · SpringerReference · doi:10.1007/springerreference_60671 · Cited by 7
Fixed points in models of continuous opinion dynamics under bounded confidencePreprint
Lorenz, J. (2008) · arXiv (Cornell University) · doi:10.48550/arxiv.0806.1587 · Cited by 7
Can extremism guarantee pluralism?Preprint
Gargiulo, F., & Mazzoni, A. (2008) · arXiv (Cornell University) · doi:10.48550/arxiv.0803.3879 · Cited by 7
The Paradox of Information Access: On Modeling Social-Media-Induced PolarizationPreprint
Xu, C., Li, J., Abdelzaher, T., Ji, H., Szymanski, B. K., & Dellaverson, J. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.01106 · Cited by 7
How can you capture cultural dynamics?
Kashima, Y. (2013) · PsycEXTRA Dataset · doi:10.1037/e627722013-101 · Cited by 7
Preferential Attachment, Homophily, and the Structure of International Networks, 1816–2003
Maoz, Z. (2012) · Conflict Management and Peace Science · doi:10.1177/0738894212443344 · Cited by 80
Activity of a social dynamics model
Reia, S. M., & Neves, U. P. D. C. (2015) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2015.04.031 · Cited by 6
The theory of dynamical systems of conflict in the framework of functional analysis
Koshmanenko, V. D. (2023) · Збірник Праць Інституту математики НАН України · doi:10.3842/trim.v20n1.530 · Cited by 6
How networks shape diversity for better or worse
Musso, A., & Helbing, D. (2024) · Royal Society Open Science · doi:10.1098/rsos.230505 · Cited by 7
Opinion dynamics in social networks under the influence of mass media
Hu, H., Chen, W., & Hu, Y. (2024) · Applied Mathematics and Computation · doi:10.1016/j.amc.2024.128976 · Cited by 6
Transmission of cultural traits in layered ego-centric networks
Palchykov, Kaski, K. K., & Kertész (2014) · Condensed Matter Physics · doi:10.5488/cmp.17.33802 · Cited by 6
The nature of the continuous non-equilibrium phase transition of Axelrod's model
Peres, L. R., & Fontanari, J. F. (2015) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/111/58001 · Cited by 6
Lucatero, C. R., & Alarcón-Ramos, L. A. (2018) · Mathematics · doi:10.3390/math7010030 · Cited by 6
The surprising little effectiveness of cooperative algorithms in parallel problem solving
Reia, S. M., Aquino, L. F., & Fontanari, J. F. (2020) · The European Physical Journal B · doi:10.1140/epjb/e2020-10199-9 · Cited by 6
A framework for improving electoral forecasting based on time-aware polling
Topîrceanu, A., & Precup, R. (2020) · Social Network Analysis and Mining · doi:10.1007/s13278-020-00646-7 · Cited by 6
Ho, C.-L. L., Whittle, C., & Eaves, M. H. (2020) · Journal of Intercultural Communication Research · doi:10.1080/17475759.2020.1773902 · Cited by 6
Discrete-Event Modeling and Simulation of Diffusion Processes in Multiplex Networks
Ruiz-Martín, C., Wainer, G., & López‐Paredes, A. (2020) · ACM Transactions on Modeling and Computer Simulation · doi:10.1145/3434490 · Cited by 6
Why is parochialism prevalent?: an evolutionary approach
Berg, N., Kim, J., & Lee, K. M. (2021) · Journal of Economic Interaction and Coordination · doi:10.1007/s11403-021-00328-3 · Cited by 6
Narrative Therapy for Anorexia Nervosa: Using Documents of Resistance
López, C. A. C., & Arriazu, R. (2021) · Australian and New Zealand Journal of Family Therapy · doi:10.1002/anzf.1459 · Cited by 5
Dornschneider, S., & Edmonds, B. (2022) · Government and Opposition · doi:10.1017/gov.2022.37 · Cited by 7
Conformity effect on the evolution of cooperation in signed networks
He, X., Li, G., & Du, H. (2023) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/5.0101350 · Cited by 6
Modeling and Simulation of Polarization in Internet Group Opinions Based on Cellular Automata
Zhang, Y., & Xiao, R. (2015) · Discrete Dynamics in Nature and Society · doi:10.1155/2015/140984 · Cited by 6
Towards Agent-Based Models of Cultural Dynamics: A Case of Stereotypes
Pfau, J., Kashima, Y., & Sonenberg, L. (2013) · Studies in the philosophy of sociality · doi:10.1007/978-3-319-01952-9_8 · Cited by 6
Ribière, V., & Zhang, Q. (2010) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2010.195 · Cited by 6
A thermodynamic counterpart of the Axelrod model of social influence: The one-dimensional case
Gandica, Y., Medina, E. A., & Bonalde, I. (2013) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2013.08.033 · Cited by 6
Adamopoulos, A. V., & Scarlatos, S. (2011) · Complexity · doi:10.1002/cplx.20391 · Cited by 6
Tao, F., Li, C., Guo, L., & Wang, Y. (2014) · International Journal of Modern Physics C · doi:10.1142/s0129183115500849 · Cited by 6
Synchronization of multi-phase oscillators: an Axelrod-inspired model
Kuperman, M. N., & Zanette, D. H. (2009) · The European Physical Journal B · doi:10.1140/epjb/e2009-00194-3 · Cited by 6
Inhibiting the Diffusion of Contagions in Bi-Threshold Systems: Analytical and Experimental Results
Kuhlman, C. J., Kumar, V. S. A., MARATHE, M. V., Swarup, S., Tuli, G., Ravi, S. S., & Rosenkrantz, D. J. (2011) · Cited by 6
A General Model of Dynamics on Networks with Graph Automorphism Lumping
Ward, J. A., & Evans, J. W. (2018) · Studies in computational intelligence · doi:10.1007/978-3-030-05411-3_36 · Cited by 6
Approximation of the first passage time distribution for the birth–death processes
Kononovičius, A., & Gontis, V. (2019) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/ab2709 · Cited by 6
The Impact of Peer Pressure: Extending Axelrod's Model on Cultural Polarisation
Morris, R., Turner, L. D., Whitaker, R. M., & Giammanco, C. A. (2019) · IEEE International Conference on Cognitive Computing (ICCC) · doi:10.1109/iccc.2019.00030 · Cited by 6
Li, X., Mobilia, M., Rucklidge, A. M., & Zia, R. K. P. (2022) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/ac410f · Cited by 6
Phase diagram in a one-dimensional civil disorder model
Ormazábal, I., Urbina, F., Borotto, F. A., & Astudillo, H. F. (2022) · Physical review. E · doi:10.1103/physreve.105.054110 · Cited by 6
Dyadic Interaction Shapes Social Identity in the Axelrod Model Using Empirical Data
Dinkelberg, A., MacCarron, P., Maher, P. J., O’Sullivan, D. J. P., & Quayle, M. (2023) · Journal of Artificial Societies and Social Simulation · doi:10.18564/jasss.4992 · Cited by 7
Dynamics of Relative Agreement in Multiple Social Contexts
Nunes, D., Antunes, L., & Amblard, F. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40669-0_39 · Cited by 6
RISE OF THE CENTRIST: FROM BINARY TO CONTINUOUS OPINION DYNAMICS
BAKER, G. A., & HAGUE, J. P. (2008) · International Journal of Modern Physics C · doi:10.1142/s0129183108013023 · Cited by 6
Metadata
- 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
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review