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 201–300 of 1,001
Noisy continuous-opinion dynamics
Pineda, M., Toral, R., & Hernández-García, E. (2009) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2009/08/p08001 · Cited by 74
Effects of mass media on opinion spreading in the Sznajd sociophysics model
Crokidakis, N. (2011) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2011.11.038 · Cited by 72
Group interactions modulate critical mass dynamics in social convention
Iacopini, I., Petri, G., Baronchelli, A., & Barrat, A. (2022) · Communications Physics · doi:10.1038/s42005-022-00845-y · Cited by 69
Collective Dynamics of Belief Evolution under Cognitive Coherence and Social Conformity
Rodriguez, N., Bollen, J., & Ahn, Y. (2016) · PLoS ONE · doi:10.1371/journal.pone.0165910 · Cited by 73
Pacini, E., Mateos, C., & Garino, C. G. G. (2015) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2015.01.005 · Cited by 71
Learning a Linear Influence Model from Transient Opinion Dynamics
De, A., Bhattacharya, S., Bhattacharya, P., Ganguly, N., & Chakrabarti, S. (2014) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2661829.2662064 · Cited by 71
The Conversion of Cultural Tastes into Social Network Ties
Lewis, K., & Kaufman, J. A. (2018) · American Journal of Sociology · doi:10.1086/697525 · Cited by 74
The effect of social balance on social fragmentation
Pham, T. M., Kondor, I., Hanel, R., & Stefan Thurner, A. (2020) · Journal of The Royal Society Interface · doi:10.1098/rsif.2020.0752 · Cited by 74
Microscopic and macroscopic simulation of competition between languages
Stauffer, D., & Schulze, C. (2005) · Physics of Life Reviews · doi:10.1016/j.plrev.2005.03.001 · Cited by 70
Theory development with agent-based models
Smaldino, P. E., Calanchini, J., & Pickett, C. L. (2015) · Organizational Psychology Review · doi:10.1177/2041386614546944 · Cited by 74
The Physical Modelling of Human Social Systems
Ball, P. (2003) · Complexus · doi:10.1159/000082449 · Cited by 68
Animal culture impacts species' capacity to realise climate‐driven range shifts
Keith, S. A., & Bull, J. W. (2016) · Ecography · doi:10.1111/ecog.02481 · Cited by 68
Robust Clustering in Generalized Bounded Confidence Models
Kurahashi-Nakamura, T., Mäs, M., & Lorenz, J. (2016) · Journal of Artificial Societies and Social Simulation · doi:10.18564/jasss.3220 · Cited by 67
Not As Smart As We Think: A Study of Collective Intelligence in Virtual Groups
Barlow, J. B., & Dennis, A. R. (2016) · Journal of Management Information Systems · doi:10.1080/07421222.2016.1243944 · Cited by 67
Opinion Formation by Informed Agents
Afshar, M., & Asadpour, M. (2010) · Journal of Artificial Societies and Social Simulation · doi:10.18564/jasss.1665 · Cited by 66
DiFonzo, N., Bourgeois, M. J., Suls, J., Homan, C., Stupak, N., Brooks, B. P., Ross, D. S., & Bordia, P. (2013) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2012.12.010 · Cited by 76
Computerized Simulation in the Social Sciences
Garson, G. D. (2008) · Simulation & Gaming · doi:10.1177/1046878108322225 · Cited by 64
Scaling limits for continuous opinion dynamics systems
Como, G., & Fagnani, F. (2011) · The Annals of Applied Probability · doi:10.1214/10-aap739 · Cited by 68
Talking nets: A multiagent connectionist approach to communication and trust between individuals.
Overwalle, F. V., & Heylighen, F. (2006) · Psychological Review · doi:10.1037/0033-295x.113.3.606 · Cited by 64
Gershenson, C., & Helbing, D. (2015) · Complexity · doi:10.1002/cplx.21736 · Cited by 64
Flache, A., & Mäs, M. (2008) · Computational and Mathematical Organization Theory · doi:10.1007/s10588-008-9019-1 · Cited by 63
Political Communication and Disagreement Among Citizens in Japan and the United States
Ikeda, K., & Huckfeldt, R. (2001) · Political Behavior · doi:10.1023/a:1017617630744 · Cited by 62
Heterogeneous particle swarm optimizers
de, M. A. M., Peña, J., Stützle, T., Pinciroli, C., & Dorigo, M. (2009) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2009.4983013 · Cited by 63
On the determinants of political polarization
Grechyna, D. (2016) · Economics Letters · doi:10.1016/j.econlet.2016.04.018 · Cited by 62
Evans, T., & Fu, F. (2018) · Royal Society Open Science · doi:10.1098/rsos.181122 · Cited by 61
When Politicians Talk: Assessing Online Conversational Practices of Political Parties on Twitter
Lietz, H., Wagner, C., Bleier, A., & Strohmaier, M. (2014) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v8i1.14521 · Cited by 60
Effective surface-tension in the noise-reduced voter model
Dall’Asta, L., & Castellano, C. (2007) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/77/60005 · Cited by 61
Axelrod, R. (2007) · IGI Global eBooks · doi:10.4018/978-1-59140-984-7.ch007 · Cited by 65
Self-citationCitizenship and Contemporary Direct Democracy
Altman, D. (2018) · Cambridge University Press eBooks · doi:10.1017/9781108634397 · Cited by 63
Cultural Transmission, Disproportionate Prior Exposure, and the Evolution of Cooperation
Mark, N. (2002) · American Sociological Review · doi:10.1177/000312240206700301 · Cited by 59
The Ontological (In)security of Similarity Wahhabism Versus Islamism in Saudi Foreign Policy
Darwich, M. (2016) · Foreign Policy Analysis · doi:10.1093/fpa/orw032 · Cited by 58
Opinion Formation by Social Influence: From Experiments to Modeling
Chacoma, A., & Zanette, D. H. (2015) · PLoS ONE · doi:10.1371/journal.pone.0140406 · Cited by 61
Crema, E. R., Kerig, T., & Shennan, S. J. (2014) · Journal of Archaeological Science · doi:10.1016/j.jas.2014.01.002 · Cited by 58
Opinion Formation and the Collective Dynamics of Risk Perception
Moussaïd, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0084592 · Cited by 62
Consent or Conflict: Coevolution of Coordination and Networks
Buskens, V., Corten, R., & Weesie, J. (2008) · Journal of Peace Research · doi:10.1177/0022343307087177 · Cited by 65
Emergence of metapopulations and echo chambers in mobile agents
Starnini, M., Frasca, M., & Baronchelli, A. (2016) · Scientific Reports · doi:10.1038/srep31834 · Cited by 56
Bogdanovych, A., Rodríguez-Aguilar, J. A., Simoff, S. J., & Cohen, A. (2010) · Applied Artificial Intelligence · doi:10.1080/08839514.2010.492172 · Cited by 56
Cultural Gravity Effects among Migrants: A Comparative Analysis of the EU15
Tubadji, A., & Nijkamp, P. (2015) · Economic Geography · doi:10.1111/ecge.12088 · Cited by 61
Consensus formation on coevolving networks: groups' formation and structure
Kozma, B., & Barrat, A. (2008) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8113/41/22/224020 · Cited by 55
Scale, context, and heterogeneity: the complexity of the social space
Balsa‐Barreiro, J., Menéndez, M., & Morales, A. J. (2022) · Scientific Reports · doi:10.1038/s41598-022-12871-5 · Cited by 54
On the Collective Nature of Human Intelligence
Pentland, A. (2007) · Adaptive Behavior · doi:10.1177/1059712307078653 · Cited by 54
Different Truths in Different Worlds
Miller, K. D., & Lin, S. (2008) · Organization Science · doi:10.1287/orsc.1080.0409 · Cited by 55
Cultural propagation on social networks
Kuperman, M. N. (2006) · Physical Review E · doi:10.1103/physreve.73.046139 · Cited by 54
Cultural Integration and Differentiation in Groups and Organizations
Mäs, M., Flache, A., & Kitts, J. A. (2013) · Studies in the philosophy of sociality · doi:10.1007/978-3-319-01952-9_5 · Cited by 53
Structure and evolution of online social relationships: Heterogeneity in unrestricted discussions
Goh, K.-I., Eom, Y.-H., Jeong, H., Kahng, B., & Kim, D. (2006) · Physical Review E · doi:10.1103/physreve.73.066123 · Cited by 53
Dynamics of linguistic opinion formation in bounded confidence model
Dong, Y., Chen, X., Liang, H., & Li, C. (2016) · Information Fusion · doi:10.1016/j.inffus.2016.03.001 · Cited by 53
The polarization within and across individuals: the hierarchical Ising opinion model
van der Maas, H. L. J., Dalege, J., & Waldorp, L. (2020) · Journal of Complex Networks · doi:10.1093/comnet/cnaa010 · Cited by 57
McCubbins, M. D., Paturi, R., & Weller, N. (2009) · American Politics Research · doi:10.1177/1532673x09337184 · Cited by 56
Flache, A., & Mäs, M. (2007) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2007.11.020 · Cited by 53
Non-monotonicity and divergent time scale in Axelrod model dynamics
Vázquez, F., & Redner, S. (2007) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/78/18002 · Cited by 53
Layered social influence promotes multiculturality in the Axelrod model
Battiston, F., Nicosia, V., Latora, V., & Miguel, M. S. (2017) · Scientific Reports · doi:10.1038/s41598-017-02040-4 · Cited by 54
The Dual Echo Chamber: Modeling Social Media Polarization for Interventional Recommending
Donkers, T., & Ziegler, J. (2021) · ACM Conference on Recommender Systems (RecSys) · doi:10.1145/3460231.3474261 · Cited by 55
A general framework to link theory and empirics in opinion formation models
Kozitsin, I. (2022) · Scientific Reports · doi:10.1038/s41598-022-09468-3 · Cited by 56
EFFECTS OF MASS MEDIA AND CULTURAL DRIFT IN A MODEL FOR SOCIAL INFLUENCE
Mazzitello, K. I., Candia, J., & Dossetti, V. (2007) · International Journal of Modern Physics C · doi:10.1142/s0129183107011492 · Cited by 52
Bordogna, C., & Albano, E. V. (2007) · Journal of Physics Condensed Matter · doi:10.1088/0953-8984/19/6/065144 · Cited by 52
Stvilia, B., Al-Faraj, A., & Yi, Y. J. (2009) · Library & Information Science Research · doi:10.1016/j.lisr.2009.07.005 · Cited by 51
Segregation dynamics with reinforcement learning and agent based modeling
Sert, E., Bar-Yam, Y., & Morales, A. J. (2020) · Scientific Reports · doi:10.1038/s41598-020-68447-8 · Cited by 54
THE SZNAJD CONSENSUS MODEL WITH CONTINUOUS OPINIONS
Fortunato, S. (2005) · International Journal of Modern Physics C · doi:10.1142/s0129183105006917 · Cited by 51
Opinion dynamics and synchronization in a network of scientific collaborations
Pluchino, A., Boccaletti, S., Latora, V., & Rapisarda, A. (2006) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2006.08.016 · Cited by 51
Segregation and polarization in urban areas
Morales, A. J., Dong, X., Yaneer Bar-yam, A., & Pentland, A. (2019) · Royal Society Open Science · doi:10.1098/rsos.190573 · Cited by 48
Opinion Dynamics with Disagreement and Modulated Information
Sîrbu, A., Loreto, V., Servedio, V. D. P., & Tria, F. (2013) · Journal of Statistical Physics · doi:10.1007/s10955-013-0724-x · Cited by 52
Residential segregation and cultural dissemination: An Axelrod-Schelling model
Gracia-Lázaro, C., Lafuerza, L. F., Florı́a, L. M., & Moreno, Y. (2009) · Physical Review E · doi:10.1103/physreve.80.046123 · Cited by 53
Dynamics of vacillating voters
Lambiotte, R., & Redner, S. (2007) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2007/10/l10001 · Cited by 49
Discretized Opinion Dynamics of The Deffuant Model on Scale-Free NetworksPreprint
Stauffer, D., Sousa, A. O., & Schulz, C. (2004) · Cited by 49
Dissonance Minimization as a Microfoundation of Social Influence in Models of Opinion Formation
Groeber, P., Lorenz, J., & Schweitzer, F. (2014) · Journal of Mathematical Sociology · doi:10.1080/0022250x.2012.724486 · Cited by 49
Tubadji, A., Osoba, B. J., & Nijkamp, P. J. (2014) · Journal of Cultural Economics · doi:10.1007/s10824-014-9232-3 · Cited by 48
Sanctis, L. D., & Galla, T. (2009) · Physical Review E · doi:10.1103/physreve.79.046108 · Cited by 48
The Emerging Field of Language Dynamics
Wichmann, S. (2008) · Language and Linguistics Compass · doi:10.1111/j.1749-818x.2008.00062.x · Cited by 50
Social influence and the emergence of norms amid ties of amity and enmity
Kitts, J. A. (2005) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2005.09.006 · Cited by 49
THE KRAUSE–HEGSELMANN CONSENSUS MODEL WITH DISCRETE OPINIONS
Fortunato, S. (2004) · International Journal of Modern Physics C · doi:10.1142/s0129183104006479 · Cited by 48
Influence maximization of informed agents in social networks
Askarisichani, O., & Jalili, M. (2015) · Applied Mathematics and Computation · doi:10.1016/j.amc.2014.12.139 · Cited by 48
Pfau, J., Kirley, M., & Kashima, Y. (2012) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2012.09.004 · Cited by 48
The Axelrod model for the dissemination of culture revisited
Lanchier, N. (2011) · Cited by 47
Information Technologies, Meta-power, and Transformations in Global Politics
Singh, J. (2013) · International Studies Review · doi:10.1111/misr.12025 · Cited by 50
Multistage Competitive Opinion Maximization With Q-Learning-Based Method in Social Networks
He, Q., Zhang, L., Fang, H., Wang, X., Ma, L., Yu, K., & Zhang, J. (2024) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2024.3387293 · Cited by 46
Modeling Social Norms and Social Influence in Obesity
Shoham, D. A., Hammond, R. A., Rahmandad, H., Wang, Y., & Hovmand, P. S. (2015) · Current Epidemiology Reports · doi:10.1007/s40471-014-0032-2 · Cited by 50
Diffusing opinions in bounded confidence processes
Pineda, M., Toral, R., & Hernández-Garcı́a, E. (2010) · The European Physical Journal D · doi:10.1140/epjd/e2010-00227-0 · Cited by 45
Emergent cultural signatures and persistent diversity: A model of conformity and consistency
Bednar, J., Bramson, A., Jones-Rooy, A., & Page, S. E. (2010) · Rationality and Society · doi:10.1177/1043463110374501 · Cited by 46
Propositional Opinion Diffusion
Grandi, U., Lorini, E., & Perrussel, L. (2015) · Adaptive Agents and Multi-Agents Systems · doi:10.65109/bnwa2417 · Cited by 47
Krueger, T., Szwabiński, J., & Weron, T. (2017) · Entropy · doi:10.3390/e19070371 · Cited by 48
Soehl, T. (2016) · Journal of Ethnic and Migration Studies · doi:10.1080/1369183x.2016.1246178 · Cited by 46
Homophily Based on Few Attributes Can Impede Structural Balance
Górski, P. J., Bochenina, K., Hołyst, J. A., & D’Souza, R. M. (2020) · Physical Review Letters · doi:10.1103/physrevlett.125.078302 · Cited by 43
How Groups Can Foster Consensus: The Case of Local CulturesPreprint
Groeber, P., Schweitzer, F., & Press, K. (2009) · arXiv (Cornell University) · doi:10.3929/ethz-b-000156548 · Cited by 47
Effets of Interaction Topology and Activation Regime in several Multi-Agent SystemPreprint
Axtell, R. L. (2000) · RePEc: Research Papers in Economics · Cited by 46
Accelerating consensus on coevolving networks: The effect of committed individuals
Singh, P., Sreenivasan, S., Szymanski, B. K., & Korniss, G. (2012) · Physical Review E · doi:10.1103/physreve.85.046104 · Cited by 43
Bridge ties bind collective memories
Momennejad, I., Duker, A., & Coman, A. (2019) · Nature Communications · doi:10.1038/s41467-019-09452-y · Cited by 45
Different topologies for a herding model of opinion
Schwämmle, V., González, M. C., Moreira, A. A., Andrade, J. S., & Herrmann, H. J. (2007) · Physical Review E · doi:10.1103/physreve.75.066108 · Cited by 45
Dynamics of organizational culture: Individual beliefs vs. social conformity
Ellinas, C., Allan, N., & Johansson, A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0180193 · Cited by 58
When Order Affects Performance: Culture, Behavioral Spillovers, and Institutional Path Dependence
Bednar, J., & Page, S. E. (2018) · American Political Science Review · doi:10.1017/s0003055417000466 · Cited by 48
Failure in Complex Social Networks
Centola, D. M. (2008) · Journal of Mathematical Sociology · doi:10.1080/00222500802536988 · Cited by 44
Financial Reform: What Shakes it? What Shapes it?Preprint
Abiad, A. G., & Mody, A. (2005) · SSRN Electronic Journal · doi:10.2139/ssrn.661823 · Cited by 44
Robust coordination in large convention spaces
Salazar, N., Rodríguez-Aguilar, J. A., & Arcos, J. L. (2010) · AI Communications · doi:10.3233/aic-2010-0479 · Cited by 43
The Impact of Value Similarity and Power on the Perception of Threat
García‐Retamero, R., Muller, S. M., & Rousseau, D. (2012) · Political Psychology · doi:10.1111/j.1467-9221.2012.00869.x · Cited by 43
MULTIDIMENSIONAL CONSENSUS MODEL ON A BARABÁSI–ALBERT NETWORK
Jacobmeier, D. (2005) · International Journal of Modern Physics C · doi:10.1142/s0129183105007388 · Cited by 43
Structuring knowledge transfer from experts to newcomers
Guechtouli, W., Rouchier, J., & Orillard, M. (2013) · Journal of Knowledge Management · doi:10.1108/13673271311300741 · Cited by 46
Adoption as a social marker: Innovation diffusion with outgroup aversion
Smaldino, P. E., Janssen, M. A., Hillis, V., & Bednar, J. (2016) · Journal of Mathematical Sociology · doi:10.1080/0022250x.2016.1250083 · Cited by 44
Network Models of Minority Opinion Spreading
Álvarez‐Gálvez, J. (2015) · Social Science Computer Review · doi:10.1177/0894439315605607 · Cited by 43
Network science: a review focused on tourismPreprint
Baggio, R., Scott, N., & Cooper, C. (2010) · arXiv (Cornell University) · doi:10.48550/arxiv.1002.4766 · Cited by 43
Modelling and analysis of social contagion in dynamic networks
Sharpanskykh, A., & Jan Treur, A. (2014) · Neurocomputing · doi:10.1016/j.neucom.2014.03.069 · Cited by 42
Opinion fluctuations and persistent disagreement in social networks
Acemoğlu, D., Como, G., Fagnani, F., & Ozdaglar, A. (2011) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2011.6161319 · Cited by 41
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
