LEADER 05067nam 22006615 450 001 9910300564003321 005 20201223173944.0 010 $a3-319-67050-6 024 7 $a10.1007/978-3-319-67050-8 035 $a(CKB)4100000000882100 035 $a(DE-He213)978-3-319-67050-8 035 $a(MiAaPQ)EBC5112693 035 $a(EXLCZ)994100000000882100 100 $a20171024d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAgent-Based Modeling of Social Conflict $eFrom Mechanisms to Complex Behavior /$fby Carlos M. Lemos 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XVII, 120 p. 75 illus., 27 illus. in color.) 225 1 $aUnderstanding Complex Systems,$x2191-5326 311 $a3-319-67049-2 320 $aIncludes bibliographical references. 327 $aIntroduction -- Theoretical Foundations -- Review of ABM of Social Conflict & Violence -- Analysis of Conflict Datasets & Indicators -- Agent-Based Model of Social Conflict -- Conclusions -- Future Work. 330 $aThis Brief revisits and extends Epstein?s classical agent-based model of civil violence by considering important mechanisms suggested by social conflict theories. Among them are: relative deprivation as generator of hardship, generalized vanishing of the risk perception (?massive fear loss?) when the uprisings surpass a certain threshold, endogenous legitimacy feedback, and network influence effects represented by the mechanism of dispositional contagion. The model is explored in a set of computer experiments designed to provide insight on how mechanisms lead to increased complexity of the solutions. The results of the simulations are compared with statistical analyses of estimated size, duration and recurrence of large demonstrations and riots for eight African countries affected by the ?Arab Spring,? based on the Social Conflict Analysis Database. It is shown that the extensions to Epstein?s model proposed herein lead to increased ?generative capacity? of the agent-based model (i.e. a richer set of meaningful qualitative behaviors) as well the identification of key mechanisms and associated parameters with tipping points. The use of quantitative information (international indicators and statistical analyses of conflict events) allows the assessment of the plausibility of input parameter values and simulated results, and thus a better understanding of the model?s strengths and limitations. The contributions of the present work for understanding how mechanisms of large scale conflict lead to complex behavior include a new form of the estimated arrest probability, a simple representation of political vs economic deprivation with a parameter which controls the `sensitivity' to value, endogenous legitimacy feedback, and the effect of network influences (due to small groups and ?activists?). In addition, the analysis of the Social Conflict Analysis Database provided a quantitative description of the impact of the ?Arab Spring? in several countries focused on complexity issues such as peaceful vs violent, spontaneous vs organized, and patterns of size, duration and recurrence of conflict events in this recent and important large-scale conflict process. This book will appeal to students and researchers working in these computational social science subfields. 410 0$aUnderstanding Complex Systems,$x2191-5326 606 $aSocial sciences?Data processing 606 $aSocial sciences?Computer programs 606 $aApplication software 606 $aPeace 606 $aSociophysics 606 $aEconophysics 606 $aComputational Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X34000 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 606 $aConflict Studies$3https://scigraph.springernature.com/ontologies/product-market-codes/912060 606 $aData-driven Science, Modeling and Theory Building$3https://scigraph.springernature.com/ontologies/product-market-codes/P33030 615 0$aSocial sciences?Data processing. 615 0$aSocial sciences?Computer programs. 615 0$aApplication software. 615 0$aPeace. 615 0$aSociophysics. 615 0$aEconophysics. 615 14$aComputational Social Sciences. 615 24$aComputer Appl. in Social and Behavioral Sciences. 615 24$aConflict Studies. 615 24$aData-driven Science, Modeling and Theory Building. 676 $a303.601 700 $aLemos$b Carlos M$4aut$4http://id.loc.gov/vocabulary/relators/aut$021338 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300564003321 996 $aAgent-Based Modeling of Social Conflict$92296078 997 $aUNINA