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Emanuel Deutschmann - Computational Conflict Research

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Emanuel Deutschmann Computational Conflict Research

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Contents
Landmarks
Computational Social Sciences Series Editors Elisa Bertino Purdue University - photo 1
Computational Social Sciences
Series Editors
Elisa Bertino
Purdue University, West Lafayette, IN, USA
Claudio Cioffi-Revilla
George Mason University, Fairfax, VA, USA
Jacob Foster
University of California, Los Angeles, CA, USA
Nigel Gilbert
University of Surrey, Guildford, UK
Jennifer Golbeck
University of Maryland, College Park, MD, USA
Bruno Gonalves
New York University, New York, NY, USA
James A. Kitts
University of Massachusetts, Amherst, MA, USA
Larry S. Liebovitch
Queens College, City University of New York, Flushing, NY, USA
Sorin A. Matei
Purdue University, West Lafayette, IN, USA
Anton Nijholt
University of Twente, Enschede, The Netherlands
Andrzej Nowak
University of Warsaw, Warsaw, Poland
Robert Savit
University of Michigan, Ann Arbor, MI, USA
Flaminio Squazzoni
University of Brescia, Brescia, Italy
Alessandro Vinciarelli
University of Glasgow, Glasgow, Scotland, UK

Computational Social Sciences

A series of authored and edited monographs that utilize quantitative and computational methods to model, analyze and interpret large-scale social phenomena. Titles within the series contain methods and practices that test and develop theories of complex social processes through bottom-up modeling of social interactions. Of particular interest is the study of the co-evolution of modern communication technology and social behavior and norms, in connection with emerging issues such as trust, risk, security and privacy in novel socio-technical environments.

Computational Social Sciences is explicitly transdisciplinary: quantitative methods from fields such as dynamical systems, artificial intelligence, network theory, agent-based modeling, and statistical mechanics are invoked and combined with state-of-the-art mining and analysis of large data sets to help us understand social agents, their interactions on and offline, and the effect of these interactions at the macro level. Topics include, but are not limited to social networks and media, dynamics of opinions, cultures and conflicts, socio-technical co-evolution and social psychology. Computational Social Sciences will also publish monographs and selected edited contributions from specialized conferences and workshops specifically aimed at communicating new findings to a large transdisciplinary audience. A fundamental goal of the series is to provide a single forum within which commonalities and differences in the workings of this field may be discerned, hence leading to deeper insight and understanding.

More information about this series at http://www.springer.com/series/11784

Editors
Emanuel Deutschmann , Jan Lorenz , Luis G. Nardin , Davide Natalini and Adalbert F. X. Wilhelm
Computational Conflict Research
Editors Emanuel Deutschmann Institute of Sociology University of Gttingen - photo 2
Editors
Emanuel Deutschmann
Institute of Sociology, University of Gttingen, Gttingen, Germany
Jan Lorenz
Bremen International Graduate School of Social Science, Jacobs University, Bremen, Germany
Luis G. Nardin
Department of Informatics, Brandenburg University of Technology, Cottbus, Germany
Davide Natalini
Global Sustainability Institute, Anglia Ruskin University, Cambridge, UK
Adalbert F. X. Wilhelm
Bremen International Graduate School of Social Sciences, Jacobs University Bremen, Bremen, Germany
ISSN 2509-9574 e-ISSN 2509-9582
Computational Social Sciences
ISBN 978-3-030-29332-1 e-ISBN 978-3-030-29333-8
https://doi.org/10.1007/978-3-030-29333-8
This book is an open access publication.
The Editor(s) (if applicable) and The Author(s) 2020
Open AccessThis book is licensed under the terms of the Creative Commons - photo 3

Open AccessThis book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence and indicate if changes were made.

The images or other third party material in this book are included in the book's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AG.

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Acknowledgements

Most of the contributors of this book met at theBIGSSS Summer School in Computational Social Science: Research Incubators on Data-driven Modeling of Conflicts, which took place from July 23 to August 3, 2018 at Jacobs University in Bremen, Germany. The summer school was organized by Jan Lorenz, Arline Rave, Klaus Boehnke, Adalbert Wilhelm, and Emanuel Deutschmann and was possible through financial support from Volkswagen Foundation, via a grant in their initiative International Research in Computational Social Sciences (grant nr. 92145). Most of the chapters originate from the research started in the research incubators at the summer school, and we are pleased that the teams continued to work together after leaving Bremen to turn their projects into the chapters that now form this book. We, the editors, would like to thank Arline Rave for her extraordinary dedication in organizing the summer school. James Kitts provided important support and advice; Lisa Gutowski assisted in finalizing the back matter of the book. We are also grateful to Henrik Dobewall and Peter Holtz who gave helpful input and to the editors at Springer Nature for their support in the publishing process. Thanks to Volkswagen Foundation, this book is also available open access and free for anyone to read. Most importantly, we would like to thank the authors for their contributions to this book.

Contents
Emanuel Deutschmann , Jan Lorenz and Luis G. Nardin
Part I Data and Methods in Computational Conflict Research
Kristian Skrede Gleditsch
Seraphine F. Maerz and Cornelius Puschmann
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