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.
Author(s): Emanuel Deutschmann, Jan Lorenz, Luis G. Nardin, Davide Natalini, Adalbert F.X. Wilhelm
Series: Computational Social Sciences
Publisher: Springer
Year: 2020
Language: English
Pages: 270
Tags: Computational Social Sciences, Computational Conflict Research
Front Matter ....Pages i-xviii
Advancing Conflict Research Through Computational Approaches (Emanuel Deutschmann, Jan Lorenz, Luis G. Nardin)....Pages 1-19
Front Matter ....Pages 21-21
Advances in Data on Conflict and Dissent (Kristian Skrede Gleditsch)....Pages 23-41
Text as Data for Conflict Research: A Literature Survey (Seraphine F. Maerz, Cornelius Puschmann)....Pages 43-65
Interdependencies in Conflict Dynamics: Analyzing Endogenous Patterns in Conflict Event Data Using Relational Event Models (Laurence Brandenberger)....Pages 67-80
Front Matter ....Pages 81-81
Migration Policy Framing in Political Discourse: Evidence from Canada and the USA (Sanja Hajdinjak, Marcella H. Morris, Tyler Amos)....Pages 83-111
The Role of Network Structure and Initial Group Norm Distributions in Norm Conflict (Julian Kohne, Natalie Gallagher, Zeynep Melis Kirgil, Rocco Paolillo, Lars Padmos, Fariba Karimi)....Pages 113-140
On the Fate of Protests: Dynamics of Social Activation and Topic Selection Online and in the Streets (Ahmadreza Asgharpourmasouleh, Masoud Fattahzadeh, Daniel Mayerhoffer, Jan Lorenz)....Pages 141-164
Front Matter ....Pages 165-165
Do Non-State Armed Groups Influence Each Other in Attack Timing and Frequency? Generating, Analyzing, and Comparing Empirical Data and Simulation (Simone Cremaschi, Baris Kirdemir, Juan Masullo, Adam R. Pah, Nicolas Payette, Rithvik Yarlagadda)....Pages 167-182
On the Beaten Path: Violence Against Civilians and Simulated Conflict Along Road Networks (Andrea Salvi, Mark Williamson, Jessica Draper)....Pages 183-199
Analysis of Conflict Diffusion Over Continuous Space (Claire Kelling, YiJyun Lin)....Pages 201-223
Rebel Group Protection Rackets: Simulating the Effects of Economic Support on Civil War Violence (Frances Duffy, Kamil C. Klosek, Luis G. Nardin, Gerd Wagner)....Pages 225-251
Back Matter ....Pages 253-264
