Opinion convergence in the Krasnoshchekov model
Bibliographic Data
| ID | 7520845 |
|---|---|
| Authors | Ivan Kozitsin (0000-0002-2638-0131, Moscow Institute of Physics and Technology, corresponding author), Ivan Vladimirovich Kozitsin (Moscow Institute of Physics and Technology), А А Белолипецкий (Moscow Institute of Physics and Technology), Alexander Alexeyevich Belolipetskii (Moscow Institute of Physics and Technology) |
| Year | 2018 |
| Volume | 43 |
| Issue | 2 |
| Pages | 104-121 |
| Publication date | 2018-10-15 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Mathematical Sociology (JOURNAL) |
| Journal identifiers | ISSN: 0022-250X • E-ISSN: 1545-5874 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/0022250x.2018.1531398 |
| OpenAlex | W2896838865 |
| Language | EN |
| Citations received | 1 |
| References cited | 16 |
In this paper, a rigorous mathematical analysis of the Krasnoshchekov model is presented. We have shown that in case a community does not contain any group of people having zero resistance to interpersonal influence, which are moreover isolated from the pressure of the rest of community, the Krasnoshchekov opinion readjustment procedure can be reduced to the Friedkin–Johnsen dynamics. In turn, if one repeats the Krasnoshchekov opinion updating rule, the corresponding dynamics forces individuals’ opinions to converge eventually to some terminal opinions, which are a consensus under the same conditions as in the French–Harary–DeGroot dynamics. Otherwise, the Krasnoshchekov dynamics exhibits patterns, which are much closer to the behavior of electrons in the superconductivity state
Convergence (economics · Dynamics (music · Economics · Interpersonal communication · Linguistics · Mathematical economics · Physics · Resistance (ecology · Rest (music · Sequence (biology · Sociology · Statistical physics · Zero (linguistics · Complex Network Analysis Techniques · Computer Science · Mathematics · Opinion Dynamics and Social Influence · Psychology · Quantum many-body systems · Social Psychology
| Citations per year | 0.17 |
|---|---|
| Citation span | 2020 - 2020 (1) |
| Highly cited | No |