LEADER 05478 am 22007453u 450 001 9910370050603321 005 20200702111955.0 010 $a3-030-29333-5 024 7 $a10.1007/978-3-030-29333-8 035 $a(CKB)4100000009844766 035 $a(OAPEN)1007098 035 $a(MiAaPQ)EBC5975917 035 $a(DE-He213)978-3-030-29333-8 035 $a(Au-PeEL)EBL5975917 035 $a(OCoLC)1135664306 035 $a(EXLCZ)994100000009844766 100 $a20191107d2020 u| 0 101 0 $aeng 135 $auuuuu---auuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Conflict Research$b[electronic resource] /$fedited by Emanuel Deutschmann, Jan Lorenz, Luis G. Nardin, Davide Natalini, Adalbert F. X. Wilhelm 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (264) 225 1 $aComputational Social Sciences,$x2509-9574 311 $a3-030-29332-7 327 $aChapter1: Advancing Conflict Research through Computational Approaches -- PARTI: Data and Methods in Computational Conflict Research -- Chapter2: Advances in Data on Conflict and Dissent -- Chapter3: Text as Data for Conflict Research: A Literature Survey -- Chapter4: Interdependencies in Conflict Dynamics: Analyzing Endogenous Patterns in Conflict Event Data Using Relational Event Models -- PARTII: Computational Research on Non-violent Conflict -- Chapter5: Migration Policy Framing in Political Discourse: Evidence from Canada and the US -- Chapter6: The Role of Network Structure and Initial Group Norm Distribution in Norm Conflict -- Chapter7: On the Fate of Protests: Dynamics of Activation and Topic Selection Online and In the Streets -- PartIII: Computational Research on Violent Conflict -- Chapter8: Do Non-State Armed Groups influence each other in attack timing and frequency? Generating, analyzing, and comparing empirical data and simulation -- Chapter9: On the Beaten Path: Violence against Civilians and Simulated Conflict along Road Networks -- Chapter10: Analysis of Conflict Diffusion over Continuous Space,- Chapter11: Rebel Group Protection Rackets: Simulating the Effects of Economic Support on Civil War Violence. 330 $aThis open access book brings together a set of original studies that use cutting-edge computational methods to investigate conflict at various geographic scales and degrees of intensity and violence. Methodologically, this book covers a variety of computational approaches from text mining and machine learning to agent-based modelling and social network analysis. Empirical cases range from migration policy framing in North America and street protests in Iran to violence against civilians in Congo and food riots world-wide. Supplementary materials in the book include a comprehensive list of the datasets on conflict and dissent, as well as resources to online repositories where the annotated code and data of individual chapters can be found and where (agent-based) models can be re-produced and altered. These materials are a valuable resource for those wishing to retrace and learn from the analyses described in this volume and adapt and apply them to their own research interests. By bringing together novel research through an international team of scholars from a range of disciplines, Computational Conflict Research pioneers and maps this emerging field. The book will appeal to students, scholars, and anyone interested in the prospects of using computational social sciences to advance our understanding of conflict dynamics. 410 0$aComputational Social Sciences,$x2509-9574 606 $aSocial sciences?Data processing 606 $aSocial sciences?Computer programs 606 $aPeace 606 $aTerrorism 606 $aPolitical violence 606 $aData mining 606 $aComputational Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X34000 606 $aConflict Studies$3https://scigraph.springernature.com/ontologies/product-market-codes/912060 606 $aTerrorism and Political Violence$3https://scigraph.springernature.com/ontologies/product-market-codes/912090 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 608 $aElectronic books. 615 0$aSocial sciences?Data processing. 615 0$aSocial sciences?Computer programs. 615 0$aPeace. 615 0$aTerrorism. 615 0$aPolitical violence. 615 0$aData mining. 615 14$aComputational Social Sciences. 615 24$aConflict Studies. 615 24$aTerrorism and Political Violence. 615 24$aData Mining and Knowledge Discovery. 676 $a300.00285 702 $aDeutschmann$b Emanuel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLorenz$b Jan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNardin$b Luis G$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNatalini$b Davide$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWilhelm$b Adalbert F. X$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910370050603321 996 $aComputational Conflict Research$91950017 997 $aUNINA