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020 _a9783030293338
_9978-3-030-29333-8
024 7 _a10.1007/978-3-030-29333-8
_2doi
050 4 _aHM511-538
072 7 _aJHB
_2bicssc
072 7 _aSOC026000
_2bisacsh
072 7 _aJHB
_2thema
082 0 4 _a301.01
_223
245 1 0 _aComputational Conflict Research
_h[electronic resource] /
_cedited by Emanuel Deutschmann, Jan Lorenz, Luis G. Nardin, Davide Natalini, Adalbert F. X. Wilhelm.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXVIII, 264 p. 54 illus., 33 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aComputational Social Sciences,
_x2509-9582
505 0 _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.
506 0 _aOpen Access
520 _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.
650 0 _aSociology
_xMethodology.
650 0 _aPeace.
650 0 _aTerrorism.
650 0 _aPolitical violence.
650 0 _aData mining.
650 1 4 _aSociological Methods.
650 2 4 _aPeace and Conflict Studies.
650 2 4 _aTerrorism and Political Violence.
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aDeutschmann, Emanuel.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLorenz, Jan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aNardin, Luis G.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aNatalini, Davide.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWilhelm, Adalbert F. X.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030293321
776 0 8 _iPrinted edition:
_z9783030293345
776 0 8 _iPrinted edition:
_z9783030293352
830 0 _aComputational Social Sciences,
_x2509-9582
856 4 0 _uhttps://doi.org/10.1007/978-3-030-29333-8
912 _aZDB-2-SLS
912 _aZDB-2-SXS
912 _aZDB-2-SOB
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