國立高雄大學圖資館 |

Language: English

Back

Computational conflict research

Deutschmann, Emanuel.

Computational conflict research

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational conflict researchedited by Emanuel Deutschmann ... [et al.].
other author:	Deutschmann, Emanuel.
Published:	Cham :Springer International Publishing :2020.
Description:	xviii, 264 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	ViolenceData processing
Online resource:	https://doi.org/10.1007/978-3-030-29333-8
ISBN:	9783030293338$q(electronic bk.)

Computational conflict research
Computational conflict research[electronic resource] /edited by Emanuel Deutschmann ... [et al.]. - Cham :Springer International Publishing :2020. - xviii, 264 p. :ill. (some col.), digital ;24 cm. - Computational social sciences,2509-9574. - Computational social sciences..

Chapter1: 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.

Open access.

This 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.

ISBN: 9783030293338$q(electronic bk.)

Standard No.: 10.1007/978-3-030-29333-8doiSubjects--Topical Terms:

862096
Violence
--Data processing

LC Class. No.: HM886 / .C667 2020

Dewey Class. No.: 303.6

Computational conflict research
LDR:03639nmm a2200349 a 4500 001 574412
003 DE-He213
005 20200324172522.0
006 m d
007 cr nn 008maaau
008 201007s2020 sz s 0 eng d
020 $a 9783030293338$q(electronic bk.)
020 $a 9783030293321$q(paper)
024 7 $a 10.1007/978-3-030-29333-8 $2 doi
035 $a 978-3-030-29333-8
040 $a GP $c GP
041 0 $a eng
050 4 $a HM886 $b .C667 2020
072 7 $a J $2 bicssc
072 7 $a SOC000000 $2 bisacsh
072 7 $a UXJ $2 thema
082 0 4 $a 303.6 $2 23
090 $a HM886 $b .C738 2020
245 0 0 $a Computational conflict research $h [electronic resource] / $c edited by Emanuel Deutschmann ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xviii, 264 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Computational social sciences, $x 2509-9574
505 0 $a Chapter1: 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 $a Open access.
520 $a This 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 $a Violence $x Data processing $x Research. $3 862096
650 0 $a Social conflict $x Data processing $x Research. $3 862097
650 1 4 $a Computational Social Sciences. $3 773096
650 2 4 $a Conflict Studies. $3 740131
650 2 4 $a Terrorism and Political Violence. $3 740222
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
700 1 $a Deutschmann, Emanuel. $3 862095
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Computational social sciences. $3 676494
856 4 0 $u https://doi.org/10.1007/978-3-030-29333-8
950 $a Social Sciences (Springer-41176)