Advertisement

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Emanuel Deutschmann, Jan Lorenz, Luis G. Nardin
    Pages 1-19 Open Access
  3. Data and Methods in Computational Conflict Research

    1. Front Matter
      Pages 21-21
    2. Kristian Skrede Gleditsch
      Pages 23-41 Open Access
    3. Seraphine F. Maerz, Cornelius Puschmann
      Pages 43-65 Open Access
  4. Computational Research on Non-violent Conflict

    1. Front Matter
      Pages 81-81
    2. Sanja Hajdinjak, Marcella H. Morris, Tyler Amos
      Pages 83-111 Open Access
    3. Julian Kohne, Natalie Gallagher, Zeynep Melis Kirgil, Rocco Paolillo, Lars Padmos, Fariba Karimi
      Pages 113-140 Open Access
    4. Ahmadreza Asgharpourmasouleh, Masoud Fattahzadeh, Daniel Mayerhoffer, Jan Lorenz
      Pages 141-164 Open Access
  5. Computational Research on Violent Conflict

    1. Front Matter
      Pages 165-165
    2. Simone Cremaschi, Baris Kirdemir, Juan Masullo, Adam R. Pah, Nicolas Payette, Rithvik Yarlagadda
      Pages 167-182 Open Access
    3. Andrea Salvi, Mark Williamson, Jessica Draper
      Pages 183-199 Open Access
    4. Claire Kelling, YiJyun Lin
      Pages 201-223 Open Access
    5. Frances Duffy, Kamil C. Klosek, Luis G. Nardin, Gerd Wagner
      Pages 225-251 Open Access
  6. Back Matter
    Pages 253-264

About this book

Introduction

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.

Keywords

agent-based conflict modeling social network analysis modeling social conflict modeling conflict dynamics terrorism network analysis conflict studies book open access computational social science conflict dataset computational social sciences and conflict dynamics computational conflict research open access

Editors and affiliations

  1. 1.Institute of SociologyUniversity of GöttingenGöttingenGermany
  2. 2.Bremen International Graduate School of Social ScienceJacobs UniversityBremenGermany
  3. 3.Department of InformaticsBrandenburg University of TechnologyCottbusGermany
  4. 4.Global Sustainability InstituteAnglia Ruskin UniversityCambridgeUK
  5. 5.Bremen International Graduate School of Social SciencesJacobs University BremenBremenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-29333-8
  • Copyright Information The Editor(s) (if applicable) and The Author(s) 2020
  • License CC BY
  • Publisher Name Springer, Cham
  • eBook Packages Social Sciences
  • Print ISBN 978-3-030-29332-1
  • Online ISBN 978-3-030-29333-8
  • Series Print ISSN 2509-9574
  • Series Online ISSN 2509-9582
  • Buy this book on publisher's site
Industry Sectors
Consumer Packaged Goods
Oil, Gas & Geosciences