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The role of network topology on extremism propagation with the relative agreement opinion dynamics
Open accessAbstract
In Deffuant et al. (J. Artif. Soc. Soc. Simulation 5 (2002) 4), we proposed a simple model of opinion dynamics, which we used to simulate the influence of extremists in a population. Simulations were run without any specific interaction structure and varying the simulation parameters, we observed different attractors such as predominance of centrism or of extremism. We even observed in certain conditions, that the whole population drifts to one extreme of the opinion, even if initially there are an equal number of extremists at each extreme of the opinion axis. In the present paper, we study the influence of the social networks on the presence of such a dynamical behavior. In particular, we use small-world networks with variable connectivity and randomness of the connections. We find that the drift to a single extreme appears only beyond a critical level of connectivity, which decreases when the randomness increases.
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Citations
Cites
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
Self-citation
Cited by
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
Nonequilibrium phase transition in the coevolution of networks and opinions
Holme, P., & Newman, M. E. J. (2006) · Physical Review E · doi:10.1103/physreve.74.056108 · Cited by 621
CONTINUOUS OPINION DYNAMICS UNDER BOUNDED CONFIDENCE: A SURVEY
LORENZ, J. (2007) · International Journal of Modern Physics C · doi:10.1142/s0129183107011789 · Cited by 561
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 553
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 294
Metadata
- Authors
- Amblard, F., & Deffuant, G.
- Venue
- Physica A: Statistical Mechanics and its Applications
- Publisher
- Elsevier BV
- Published
- 2004-11
- Volume
- 343
- Pages
- 725-738
- ISSN
- 0378-4371 (ISSN-L)
- OpenAlex
- W2039473144
- Cited by
- 216
- References
- 1
- FWCI
- 3.64
- Type
- journal article
- Language
- en
- Open access
- green
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