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
Complex networks: structure and dynamics
BOCCALETTI, S., LATORA, V, MORENO, Y., CHAVEZ, M., & HWANG, D. (2006) · Physics Reports · doi:10.1016/j.physrep.2005.10.009 · Cited by 11,010
Statistical physics of social dynamics
Castellano, C., Fortunato, S., & Loreto, V. (2009) · Reviews of Modern Physics · doi:10.1103/revmodphys.81.591 · Cited by 4,119
The structure and dynamics of multilayer networks
Boccaletti, S., Bianconi, G., Criado, R., del Genio, C. I., Gómez-Gardeñes, J., Romance, M., Sendiña-Nadal, I., Wang, Z., & Zanin, M. (2014) · Physics Reports · doi:10.1016/j.physrep.2014.07.001 · Cited by 3,125
The structure and dynamics of multilayer networksPreprint
Wangk, Z., & Zaninm, M. (2016) · Cited by 3,001
Networks beyond pairwise interactions: Structure and dynamics
Battiston, F., Cencetti, G., Iacopini, I., Latora, V., Lucas, M., Patania, A., Young, J.-G., & Petri, G. (2020) · Physics Reports · doi:10.1016/j.physrep.2020.05.004 · Cited by 1,879
The Globalization of Liberalization: Policy Diffusion in the International Political Economy
Simmons, B. A., & Elkins, Z. (2004) · American Political Science Review · doi:10.1017/s0003055404001078 · Cited by 1,610
Distributed Control of Robotic Networks
Bullo, F., Cortés, J., & Martínez, S. (2009) · Princeton University Press eBooks · doi:10.1515/9781400831470 · Cited by 1,538
The Global Diffusion of Public Policies: Social Construction, Coercion, Competition, or Learning?
Dobbin, F. R., Simmons, B., & Garrett, G. (2007) · Annual Review of Sociology · doi:10.1146/annurev.soc.33.090106.142507 · Cited by 1,434
Networks beyond pairwise interactions: Structure and dynamics
Battiston, F., Cencetti, G., Iacopini, I., Latora, V., Lucas, M., Patania, A., Young, J., & Petri, G. (2020) · UCL Discovery (University College London) · Cited by 1,179
Treating International Institutions as Social Environments
Johnston, A. I. (2001) · International Studies Quarterly · doi:10.1111/0020-8833.00212 · Cited by 1,143
Agent-based computational models and generative social science
Epstein, J. M. (1999) · Complexity · doi:10.1002/(sici)1099-0526(199905/06)4:5 · Cited by 1,164
Introduction: The International Diffusion of Liberalism
Simmons, B. A., Dobbin, F. R., & Garrett, G. (2006) · International Organization · doi:10.1017/s0020818306060267 · Cited by 1,147
The Politics of International Regime Complexity
Alter, K. J., & Meunier, S. (2009) · Perspectives on Politics · doi:10.1017/s1537592709090033 · Cited by 1,058
Rahmandad, H., & Sterman, J. D. (2008) · Management Science · doi:10.1287/mnsc.1070.0787 · Cited by 740
Jusup, M., Holme, P., Kanazawa, K., Takayasu, M., Romić, I., Wang, Z., Geček, S., Lipić, T., Boris Podobnik, A., Wang, L., et al. (2022) · Physics Reports · doi:10.1016/j.physrep.2021.10.005 · Cited by 688
Advancing the art of simulation in the social sciences
Axelrod, R. (1997) · Complexity · doi:10.1002/(sici)1099-0526(199711/12)3:2 · Cited by 623
Self-citationDistributed Control of Robotic Networks
Bullo, F. (2009) · Cited by 591
CONTINUOUS OPINION DYNAMICS UNDER BOUNDED CONFIDENCE: A SURVEYPreprint
Lorenz, J. (2012) · Cited by 563
Huckfeldt, R., Johnson, P. E., & Sprague, J. D. (2004) · Cambridge University Press eBooks · doi:10.1017/cbo9780511617102 · Cited by 802
A tutorial on modeling and analysis of dynamic social networks. Part I
Proskurnikov, A. V., & Tempo, R. (2017) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2017.03.002 · Cited by 577
Ratkiewicz (2011) · doi:10.1145/1963192.1963301 · Cited by 541
The Diffusion of Policy Diffusion Research in Political Science
Graham, E. R., Shipan, C. R., & Volden, C. (2012) · British Journal of Political Science · doi:10.1017/s0007123412000415 · Cited by 523
Modeling civil violence: An agent-based computational approach
Epstein, J. M. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.092080199 · Cited by 517
Political disagreement the survival of diverse opinions within communication networks
Huckfeldt, R., Johnson, P. E., & Sprague, J. D. (2004) · Cited by 483
Homophily, Cultural Drift, and the Co-Evolution of Cultural Groups
Centola, D. M., González-Avella, J. C., Eguı́luz, V. M., & Miguel, M. S. (2007) · Journal of Conflict Resolution · doi:10.1177/0022002707307632 · Cited by 456
Financial Reform: What Shakes It? What Shapes It?
Abiad, A. G., & Mody, A. (2005) · American Economic Review · doi:10.1257/0002828053828699 · Cited by 448
Modeling echo chambers and polarization dynamics in social networks
Baumann, F., Lorenz-Spreen, P., Sokolov, I. M., & Starnini, M. (2020) · Physical Review Letters · doi:10.1103/physrevlett.124.048301 · Cited by 427
Manifesto of computational social science
Conte, R., Gilbert, N., Bonelli, G., Cioffi-Revilla, C., Deffuant, G., Kertesz, J., Loreto, V., Moat, S., Nadal, J. P., Sanchez, A., et al. (2012) · The European Physical Journal Special Topics · doi:10.1140/epjst/e2012-01697-8 · Cited by 426
Opinion Fluctuations and Disagreement in Social Networks
Acemoğlu, D., Como, G., Fagnani, F., & Ozdaglar, A. (2012) · Mathematics of Operations Research · doi:10.1287/moor.1120.0570 · Cited by 420
WHY AGENTS? ON THE VARIED MOTIVATIONS FOR AGENT COMPUTING IN THE SOCIAL SCIENCES
Axtell, R. L. (2000) · Cited by 419
Agent-Based Modeling: A New Approach for Theory Building in Social Psychology
Smith, E. R., & Conrey, F. R. (2007) · Personality and Social Psychology Review · doi:10.1177/1088868306294789 · Cited by 401
An agent-based model to study market penetration of plug-in hybrid electric vehicles
Eppstein, M. J., Grover, D. K., Marshall, J. S., & Rizzo, D. M. (2011) · Energy Policy · doi:10.1016/j.enpol.2011.04.007 · Cited by 408
Exploring the debate on short-termism: a theoretical and empirical analysis
Marginson, D., & McAulay, L. (2008) · Strategic Management Journal · doi:10.1002/smj.657 · Cited by 390
Network science on belief system dynamics under logic constraints
Friedkin, N. E., Proskurnikov, A. V., Tempo, R., & Parsegov, S. E. (2016) · Science · doi:10.1126/science.aag2624 · Cited by 374
Baggio, R., Scott, N., & Cooper, C. (2010) · Annals of Tourism Research · doi:10.1016/j.annals.2010.02.008 · Cited by 503
Computational models of collective behavior
Goldstone, R. L., & Janssen, M. A. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.07.009 · Cited by 370
DellaPosta, D., Shi, Y., & Macy, M. (2015) · American Journal of Sociology · doi:10.1086/681254 · Cited by 440
Dynamics of Political Polarization
Baldassarri, D., & Bearman, P. (2007) · American Sociological Review · doi:10.1177/000312240707200507 · Cited by 455
Mason, W. A., Conrey, F. R., & Smith, E. R. (2007) · Personality and Social Psychology Review · doi:10.1177/1088868307301032 · Cited by 335
Adding Interpersonal Learning and Tacit Knowledge to March's Exploration-Exploitation Model
Miller, K. D., Zhao, M., & Calantone, R. J. (2006) · Academy of Management Journal · doi:10.5465/amj.2006.22083027 · Cited by 312
On the role of zealotry in the voter model
Mobilia, M., Petersen, A. M., & Redner, S. (2007) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2007/08/p08029 · Cited by 316
Nonequilibrium Phase Transition in a Model for Social Influence
Castellano, C., Matteo Marsili, A., & Vespignani, A. (2000) · Physical Review Letters · doi:10.1103/physrevlett.85.3536 · Cited by 310
Bilateral Collaboration and the Emergence of Innovation Networks
Cowan, R., Jonard, N., & Zimmermann, J. (2007) · Management Science · doi:10.1287/mnsc.1060.0618 · Cited by 311
A tutorial on modeling and analysis of dynamic social networks. Part II
Proskurnikov, A. V., & Tempo, R. (2018) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2018.03.005 · Cited by 303
How digital media drive affective polarization through partisan sorting
Törnberg, P. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2207159119 · Cited by 288
The Social Origins of Networks and Diffusion
Centola, D. M. (2015) · American Journal of Sociology · doi:10.1086/681275 · Cited by 273
Consensus formation on adaptive networks
Kozma, B., & Barrat, A. (2008) · Physical Review E · doi:10.1103/physreve.77.016102 · Cited by 272
Social determinants of adaptive and transformative responses to climate change
Barnes, M. L., Wang, P., Cinner, J. E., Graham, N. A. J., Guerrero, A. M., Jasny, L., Lau, J. D., Sutcliffe, S. R., & Zamborain‐Mason, J. (2020) · Nature Climate Change · doi:10.1038/s41558-020-0871-4 · Cited by 262
Liu, X., Li, D., Ma, M., Szymanski, B. K., Stanley, E., & Gao, J. (2022) · Physics Reports · doi:10.1016/j.physrep.2022.04.002 · Cited by 273
Incomplete ordering of the voter model on small-world networks
Castellano, C., Vilone, D., & Vespignani, A. (2003) · Europhysics Letters (EPL) · doi:10.1209/epl/i2003-00490-0 · Cited by 250
The Social Structure of the World Polity
Beckfield, J. (2010) · American Journal of Sociology · doi:10.1086/649577 · Cited by 243
Bifurcations and patterns in compromise processes
Ben-Naim, E., Krapivsky, P. L., & Redner, S. (2003) · Physica D Nonlinear Phenomena · doi:10.1016/s0167-2789(03)00171-4 · Cited by 237
Nonequilibrium transitions in complex networks: A model of social interaction
Klemm, K., Eguı́luz, V. M., Toral, R., & Miguel, M. S. (2003) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.67.026120 · Cited by 236
Small Worlds and Cultural Polarization
FLACHE, A., & MACY, M. W. (2011) · The Journal of Mathematical Sociology · doi:10.1080/0022250x.2010.532261 · Cited by 237
Mäs, M., & Flache, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074516 · Cited by 226
Opinion dynamics on interacting networks: media competition and social influence
Quattrociocchi, W., Caldarelli, G., & Scala, A. (2014) · Scientific Reports · doi:10.1038/srep04938 · Cited by 238
Understanding Polarization: Meanings, Measures, and Model Evaluation
Bramson, A., Grim, P., Singer, D. J., Berger, W. J., Sack, G., Fisher, S., Flocken, C., & Holman, B. (2017) · Philosophy of Science · doi:10.1086/688938 · Cited by 216
Reality-inspired voter models: A mini-review
Redner, S. (2019) · Comptes Rendus Physique · doi:10.1016/j.crhy.2019.05.004 · Cited by 220
Global culture: A noise-induced transition in finite systems
Klemm, K., Eguı́luz, V. M., Toral, R., & Miguel, M. S. (2003) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.67.045101 · Cited by 214
Social networks and environmental outcomes
Barnes, M. L., Lynham, J. M., Kalberg, K., & Leung, P. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1523245113 · Cited by 227
The cultural evolution of emergent group-level traits
Smaldino, P. E. (2014) · Behavioral and Brain Sciences · doi:10.1017/s0140525x13001544 · Cited by 211
Link recommendation algorithms and dynamics of polarization in online social networks
Santos, F. P., Yphtach Lelkes, B., & Levin, S. A. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2102141118 · Cited by 250
Nonequilibrium dynamics of language games on complex networks
Dall’Asta, L., Baronchelli, A., Barrat, A., & Loreto, V. (2006) · Physical Review E · doi:10.1103/physreve.74.036105 · Cited by 199
Social Media and the Science of Health Behavior
Centola, D. M. (2013) · Circulation · doi:10.1161/circulationaha.112.101816 · Cited by 204
Opinion Dynamics Driven by Various Ways of Averaging
Hegselmann, R., & Krause, U. (2005) · Computational Economics · doi:10.1007/s10614-005-6296-3 · Cited by 191
Individualization as Driving Force of Clustering Phenomena in Humans
Mäs, M., Flache, A., & Helbing, D. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000959 · Cited by 196
Opinion Dynamics: Models, Extensions and External Effects
Sîrbu, A., Loreto, V., Servedio, V. D. P., & Tria, F. (2017) · Understanding Complex Systems · doi:10.1007/978-3-319-25658-0_17 · Cited by 186
VECTOR OPINION DYNAMICS IN A BOUNDED CONFIDENCE CONSENSUS MODEL
Fortunato, S., Latora, V., Pluchino, A., & Rapisarda, A. (2005) · International Journal of Modern Physics C · doi:10.1142/s0129183105008126 · Cited by 184
Emoticon Style: Interpreting Differences in Emoticons Across Cultures
Park, J., Barash, V., Fink, C., & Cha, M. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v7i1.14437 · Cited by 181
Limited individual attention and online virality of low-quality information
Qiu, X., Oliveira, D. F. M., Shirazi, A. S., Flammini, A., & Menczer, F. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0132 · Cited by 207
RetractedScaling and Universality in Proportional Elections
Fortunato, S., & Castellano, C. (2007) · Physical Review Letters · doi:10.1103/physrevlett.99.138701 · Cited by 180
Errors and Artefacts in Agent-Based Modelling
Galán, J. M., Izquierdo, L. R., Izquierdo, S. S., Santos, J. I., del Olmo, R., López‐Paredes, A., & Edmonds, B. (2009) · RePEc: Research Papers in Economics · Cited by 168
Propagation of innovations in networked groups.
Mason, W., Jones, A., & Goldstone, R. L. (2008) · Journal of Experimental Psychology General · doi:10.1037/a0012798 · Cited by 180
Making Models Match: Replicating an Agent-Based Model
Wilensky, U. J., & Rand, W. M. (2007) · RePEc: Research Papers in Economics · Cited by 168
Introduction: the diffusion of liberalization
Simmons, B. A., Dobbin, F. R., & Garrett, G. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511755941.001 · Cited by 165
Partisan families: the social logic of bounded partisanship in Germany and Britain
(2008) · Choice Reviews Online · doi:10.5860/choice.45-3447 · Cited by 159
The emergence of consensus: a primer
Baronchelli, A. (2018) · Royal Society Open Science · doi:10.1098/rsos.172189 · Cited by 161
Fu, F., Nowak, M. A., Christakis, N. A., & Fowler, J. H. (2012) · Scientific Reports · doi:10.1038/srep00845 · Cited by 173
Identity and Conflict: Ties that Bind and Differences that Divide
Gartzke, E. A., & Gleditsch, K. S. (2006) · European Journal of International Relations · doi:10.1177/1354066106061330 · Cited by 163
Reconsideration of the Winner-Take-All Hypothesis: Complex Networks and Local Bias
Lee, E., Lee, J., & Lee, J. (2006) · Management Science · doi:10.1287/mnsc.1060.0571 · Cited by 157
Interventions to promote learners’ intercultural competence: A meta-analysis
Zhang, X., & Zhou, M. (2019) · International Journal of Intercultural Relations · doi:10.1016/j.ijintrel.2019.04.006 · Cited by 156
Social capital online: Collective use of the Internet and reciprocity as lubricants of democracy
Kobayashi, T., Ikeda, K., & Miyata, K. (2006) · Information Communication & Society · doi:10.1080/13691180600965575 · Cited by 151
Computational and Mathematical Modeling in the Social Sciences
de Marchi, S. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511510588 · Cited by 153
Weisbuch, G., Deffuant, G., & Amblard, F. (2005) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2005.01.054 · Cited by 153
Ordering dynamics with two non-excluding options: bilingualism in language competition
Castelló, X., Eguíluz, V. M., & Miguel, M. S. (2006) · New Journal of Physics · doi:10.1088/1367-2630/8/12/308 · Cited by 151
Sun, Z., & Müller, D. (2012) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2012.06.007 · Cited by 161
Constrained opinion dynamics: freezing and slow evolution
Vázquez, F., Krapivsky, P. L., & Redner, S. (2003) · Journal of Physics A Mathematical and General · doi:10.1088/0305-4470/36/3/103 · Cited by 150
The interplay between social networks and culture: theoretically and among whales and dolphins
Cantor, M., & Whitehead, H. (2013) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2012.0340 · Cited by 149
Greig, J. M. (2002) · Journal of Conflict Resolution · doi:10.1177/0022002702046002003 · Cited by 149
Can Game(s) Theory Explain Culture?
Bednar, J., & Page, S. (2007) · Rationality and Society · doi:10.1177/1043463107075108 · Cited by 129
The Cultural Dynamics of Copycat Suicide
Mesoudi, A. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007252 · Cited by 106
Comparison of voter and Glauber ordering dynamics on networks
Castellano, C., Loreto, V., Barrat, A., Cecconi, F., & Parisi, D. (2005) · Physical Review E · doi:10.1103/physreve.71.066107 · Cited by 144
What Sociologists Should Know About Complexity
Page, S. E. (2015) · Annual Review of Sociology · doi:10.1146/annurev-soc-073014-112230 · Cited by 150
Xia, H., Wang, H., & Xuan, Z. (2011) · International Journal of Knowledge and Systems Science · doi:10.4018/jkss.2011100106 · Cited by 145
Multilevel animal societies can emerge from cultural transmission
Cantor, M., Shoemaker, L. G., Cabral, R. B., Flores, C. O., Varga, M., & Whitehead, H. (2015) · Nature Communications · doi:10.1038/ncomms9091 · Cited by 141
Mnemonic convergence in social networks: The emergent properties of cognition at a collective level
Coman, A., Momennejad, I., Drach, R. D., & Geana, A. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1525569113 · Cited by 141
Ralston, D. A., Pounder, J. S., Lo, C. W., Wong, Y., Egri, C. P., & Stauffer, J. R. (2006) · Management and Organization Review · doi:10.1111/j.1740-8784.2006.00031.x · Cited by 143
Econophysics and sociophysics: Their milestones & challenges
Kutner, R., Ausloos, M., GRECH, D. K., Matteo, T. D., Schınckus, C., & Stanley, E. (2018) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2018.10.019 · Cited by 143
Anticonformity or Independence?—Insights from Statistical Physics
Nyczka, P., & Sznajd-Weron, K. (2013) · Journal of Statistical Physics · doi:10.1007/s10955-013-0701-4 · Cited by 139
O’Connor, C., & Weatherall, J. O. (2018) · European Journal for Philosophy of Science · doi:10.1007/s13194-018-0213-9 · Cited by 136
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