Polarization and consensus by opposing external sources
Creators
- 1. Santa Fe Institute, 1399 Hyde Park Rd., Santa Fe, NM 87501 (United States)
Description
We introduce a socially motivated extension of the voter model in which individual voters are also influenced by two opposing, fixed-opinion news sources. These sources forestall consensus and instead drive the population to a politically polarized state, with roughly half the population in each opinion state. Two types of social networks for the voters are studied: (a) the complete graph of N voters and, more realistically, (b) the two-clique graph with N voters in each clique. For the complete graph, many dynamical properties are soluble within an annealed-link approximation, in which a link between a news source and a voter is replaced by an average link density. In this approximation, we show that the average consensus time grows as , with . Here p is the probability that a voter consults a news source rather than a neighboring voter, and is the link density between a news source and voters, so that can be greater than 1. The polarization time, namely, the time to reach a politically polarized state from an initial strong majority state, is typically much less than the consensus time. For voters on the two-clique graph, either reducing the density of interclique links or enhancing the influence of news sources again promotes polarization. (paper: interdisciplinary statistical mechanics)
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-5468/ab6094Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Statistical Mechanics
- Journal Volume
- 2020
- Journal Issue
- 1
- Journal Page Range
- [28 p.]
- ISSN
- 1742-5468
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53025586
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- APPROXIMATIONS; DENSITY; DIAGRAMS; GRAPH THEORY; POLARIZATION; PROBABILITY; STATISTICAL MECHANICS
- Descriptors DEC
- CALCULATION METHODS; INFORMATION; MATHEMATICS; MECHANICS; PHYSICAL PROPERTIES