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Modeling Radicalization Phenomena in Heterogeneous Populations
- Source :
- PLoS ONE, PLos ONE, 11(5), 1-15 (2016-05), PLoS ONE, Public Library of Science, 2016, 11 (5), pp.1-15. ⟨10.1371/journal.pone.0155407⟩, PLoS ONE, Vol 11, Iss 5, p e0155407 (2016)
- Publication Year :
- 2015
-
Abstract
- The phenomenon of radicalization is investigated within a mixed population composed of core and sensitive subpopulations. The latest includes first to third generation immigrants. Respective ways of life may be partially incompatible. In case of a conflict core agents behave as inflexible about the issue. In contrast, sensitive agents can decide either to live peacefully adjusting their way of life to the core one, or to oppose it with eventually joining violent activities. The interplay dynamics between peaceful and opponent sensitive agents is driven by pairwise interactions. These interactions occur both within the sensitive population and by mixing with core agents. The update process is monitored using a Lotka-Volterra-like Ordinary Differential Equation. Given an initial tiny minority of opponents that coexist with both inflexible and peaceful agents, we investigate implications on the emergence of radicalization. Opponents try to turn peaceful agents to opponents driving radicalization. However, inflexible core agents may step in to bring back opponents to a peaceful choice thus weakening the phenomenon. The required minimum individual core involvement to actually curb radicalization is calculated.It is found to be a function of both the majority or minority status of the sensitive subpopulation with respect to the core subpopulation and the degree of activeness of opponents. The results highlight the instrumental role core agents can have to hinder radicalization within the sensitive subpopulation. Some hints are outlined to favor novel public policies towards social integration.<br />Comment: 15 pages, 3 figures. Published on PloS ONE
- Subjects :
- FOS: Computer and information sciences
Male
Radicalization
Culture
lcsh:Medicine
Social Sciences
Criminology
Systems Science
Habits
Social integration
Agent-Based Modeling
Sociology
Phenomenon
lcsh:Science
10. No inequality
Function (engineering)
media_common
education.field_of_study
Multidisciplinary
[SHS.STAT]Humanities and Social Sciences/Methods and statistics
Simulation and Modeling
05 social sciences
Computer Science - Social and Information Networks
16. Peace & justice
Nonlinear Sciences - Adaptation and Self-Organizing Systems
Organizational Policy
Europe
Core (game theory)
Social dynamics
Social Networks
Physical Sciences
Female
Adaptation and Self-Organizing Systems (nlin.AO)
Network Analysis
Research Article
Physics - Physics and Society
Computer and Information Sciences
media_common.quotation_subject
Political Science
Population
Heterogeneous populations
FOS: Physical sciences
Emigrants and Immigrants
Public Policy
Physics and Society (physics.soc-ph)
Models, Psychological
Violence
Research and Analysis Methods
Islam
Political science
Immigrants
0502 economics and business
Differential Equations
Humans
education
Condensed Matter - Statistical Mechanics
Social and Information Networks (cs.SI)
Behavior
Models, Statistical
Statistical Mechanics (cond-mat.stat-mech)
lcsh:R
Biology and Life Sciences
Adversary
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Political economy
lcsh:Q
050211 marketing
Terrorism
050203 business & management
Mathematics
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 11
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- PloS one
- Accession number :
- edsair.doi.dedup.....30bb1b6b07bbed0c6abb2a7d358bf7b0