The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Opinion dynamics on interacting networks: media competition and social influence
Open accessAbstract
The inner dynamics of the multiple actors of the informations systems - i.e, T.V., newspapers, blogs, social network platforms, - play a fundamental role on the evolution of the public opinion. Coherently with the recent history of the information system (from few main stream media to the massive diffusion of socio-technical system), in this work we investigate how main stream media signed interaction might shape the opinion space. In particular we focus on how different size (in the number of media) and interaction patterns of the information system may affect collective debates and thus the opinions' distribution. We introduce a sophisticated computational model of opinion dynamics which accounts for the coexistence of media and gossip as separated mechanisms and for their feedback loops. The model accounts also for the effect of the media communication patterns by considering both the simple case where each medium mimics the behavior of the most successful one (to maximize the audience) and the case where there is polarization and thus competition among media memes. We show that plurality and competition within information sources lead to stable configurations where several and distant cultures coexist.
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Cites
Social Network Analysis: Methods and Applications
Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557
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
Spin Glass Theory and Beyond: An Introduction to the Replica Method and Its Applications
Mezard, M., Parisi, G., & Virasoro, M. (1986) · World Scientific Lecture Notes in Physics · doi:10.1142/0271 · Cited by 3,653
The political blogosphere and the 2004 U.S. election: divided they blog
Adamic, L. A., & Glance, N. (2005) · Proceedings of the 3rd international workshop on Link discovery · doi:10.1145/1134271.1134277 · Cited by 2,619
Mixing beliefs among interacting agents
Deffuant, G., Neau, D., Amblard, F., & Weisbuch, G. (2000) · Advances in Complex Systems · doi:10.1142/s0219525900000078 · Cited by 2,165
The Dissemination of Culture: A Model with Local Convergence and Global Polarization
Axelrod, R. (1997) · Journal of Conflict Resolution · doi:10.1177/0022002797041002001 · Cited by 1,918
Social Pressures in Informal Groups
Festinger, L., Schachter, S., & Back, K. (1950) · The American Catholic Sociological Review · doi:10.2307/3707362 · Cited by 1,831
The dynamics of protest recruitment through an online network
González-Bailón, S., Borge-Holthoefer, J., Rivero, A., & Moreno, Y. (2011) · Scientific Reports · doi:10.1038/srep00197 · Cited by 571
Mason, W. A., Conrey, F. R., & Smith, E. R. (2007) · Personality and Social Psychology Review · doi:10.1177/1088868307301032 · Cited by 335
Mass media and repulsive interactions in continuous-opinion dynamics
Vaz Martins, T., Pineda, M., & Toral, R. (2010) · EPL (Europhysics Letters) · doi:10.1209/0295-5075/91/48003 · Cited by 77
Cited by
The spreading of misinformation online
Del Vicario, M., Bessi, A., Zollo, F., Petroni, F., Scala, A., Caldarelli, G., Stanley, H. E., & Quattrociocchi, W. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1517441113 · Cited by 2,407
Self-citationStatistical physics of vaccination
Wang, Z., Bauch, C. T., Bhattacharyya, S., d'Onofrio, A., Manfredi, P., Perc, M., Perra, N., Salathé, M., & Zhao, D. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.10.006 · Cited by 872
Science vs Conspiracy: Collective Narratives in the Age of Misinformation
Bessi, A., Coletto, M., Davidescu, G. A., Scala, A., Caldarelli, G., & Quattrociocchi, W. (2015) · PLOS ONE · doi:10.1371/journal.pone.0118093 · Cited by 645
Self-citationEcho Chambers: Emotional Contagion and Group Polarization on Facebook
Del Vicario, M., Vivaldo, G., Bessi, A., Zollo, F., Scala, A., Caldarelli, G., & Quattrociocchi, W. (2016) · Scientific Reports · doi:10.1038/srep37825 · Cited by 576
Self-citationFake news and ideological polarization: Filter bubbles and selective exposure on social media
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Metadata
- Authors
- Quattrociocchi, W., Caldarelli, G., & Scala, A.
- Venue
- Scientific Reports
- Published
- 2014-05-27
- Volume
- 4
- Issue
- 1
- Pages
- 4938-4938
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W1964839757
- Cited by
- 221
- References
- 10
- FWCI
- 12.74
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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