Computational Conflict Research.

• Superior document: Computational Social Sciences Series
• Author: Deutschmann, Emanuel.
• TeilnehmendeR: Lorenz, Jan.; Nardin, Luis G.; Natalini, Davide.; Wilhelm, Adalbert F. X.
• Place / Publishing House: Cham : : Springer International Publishing AG,, 2019.; Ã2020.
• Year of Publication: 2019
• Edition: 1st ed.
• Language: English
• Series: Computational Social Sciences Series
• Physical Description: 1 online resource (270 pages)

Table of Contents

• Intro
• Acknowledgements
• Contents
• Contributors
• List of Figures
• List of Tables
• Advancing Conflict Research Through Computational Approaches
• 1 Introduction
• 2 The Rise of Computational Social Science
• 3 Computational Approaches to Conflict Research
• 4 The Contributions of This Book
• References
• Part I Data and Methods in Computational Conflict Research
• Advances in Data on Conflict and Dissent
• 1 Introduction: The Need for Data in Computational Social Science
• 2 Conflict Research and the Impact of the Early Conflict Data
• 3 Data and Progress in Conflict Research
• 4 The Essential Interaction Between Theory and Data in Conflict Research
• 5 Key Unresolved Problems in Data for Conflict Research
• 6 Conclusion
• A.1 Appendix: Key Contemporary Data Sources, Listed Alphabetically
• References
• Text as Data for Conflict Research: A Literature Survey
• 1 Introduction
• 2 Dictionary Approaches for Conflict Research
• 3 Supervised Methods
• 4 Topic Modeling as Unsupervised Method in Conflict Research
• 5 Techniques of Cross-Validation
• 6 Conclusion
• Appendix
• References
• Interdependencies in Conflict Dynamics: Analyzing Endogenous Patterns in Conflict Event Data Using Relational Event Models
• 1 Introduction
• 2 Relational Events
• 3 Relational Event Models
• 4 Controlling for Endogenous Network Effects
• 5 Empirical Examples of Alliance Formation and Social Influencing
• 5.1 Military Alliance-Formation Dynamics
• 5.2 Influencing Dynamics Among EU Parliamentary Chambers
• 6 Discussion
• References
• Part II Computational Research on Non-violent Conflict
• Migration Policy Framing in Political Discourse: Evidence from Canada and the USA
• 1 Introduction
• 2 Theory
• 2.1 Party-Based Issue Ownership
• 2.2 Policy Framing
• 2.3 Inter-Party Contest over Migration Policy
• 2.4 Hypotheses.
• 3 Data and Methods
• 3.1 Comparative Case Study Approach
• 3.2 Dataset Subsetting: Dictionary Approach
• 3.3 Structural Topic Modeling
• 3.4 Labeling and Categorizing Topics
• 4 Results
• 4.1 Topics in the USA and Canada
• 4.2 Topic Association by Ideological Block
• 4.3 Topic Prevalence Across Time
• 4.4 Migration Policy Framing: Word Use
• 5 Conclusion
• A.1 Appendix
• References
• The Role of Network Structure and Initial Group Norm Distributions in Norm Conflict
• 1 Introduction
• 2 Social Norms
• 2.1 Normative Conflict
• 2.2 Finding Consensus
• 3 Network Structure and Group Norm Distributions
• 3.1 Homophily and Heterophily
• 3.2 Group Size
• 3.3 Initial Group Norm Distributions
• 4 Agent-Based Model
• 4.1 Simulating Norm Conflict
• 4.2 Generation of Network Structure
• 4.3 Initialization of Group Norm Distributions
• 4.4 Norm Updating Process
• 4.5 Outcome Metrics
• 5 Simulation Results
• 5.1 Change in Majority Norm
• 5.2 Change in Group Norm Difference
• 5.3 Conflict Ties
• 6 Discussion and Conclusion
• 6.1 The Alignment of Norms and Group Membership
• 6.2 Homophily Balances In-Group and Between-Group Conflict
• 6.3 Strategies to Maintain Minority Norms
• 6.4 Limitations and Future Directions
• Appendix: Analytical Derivations for Norm Endorsement
• References
• On the Fate of Protests: Dynamics of Social Activation and Topic Selection Online and in the Streets
• 1 Introduction
• 2 Data
• 2.1 Iran Protest in 2017/2018
• 2.2 PEGIDA, Germany Since 2014 and Ongoing
• 2.3 Stylized Data Facts
• 3 Agent-Based Model
• 3.1 Agents, Follower Network, Thresholds, and Concerns
• 3.2 Agents' Activities
• 3.3 Initial Conditions and Stopping Rules
• 4 Simulation Experiment
• 4.1 The Iran Case in the Model
• 4.2 The Germany Case in the Model
• 4.3 Comparison Between the Iran and Germany Model Simulations.
• 4.4 Parameter Study
• 5 Discussion
• References
• Part III Computational Research on Violent Conflict
• Do Non-State Armed Groups Influence Each Other in Attack Timing and Frequency? Generating, Analyzing, and Comparing Empirical Data and Simulation
• 1 Introduction
• 2 Data and Case Settings
• 3 Methods
• 3.1 Analytical Estimation
• 3.2 Generative Model and Simulation
• 4 Results
• 4.1 Analytical Estimation of Basal and Additive Rates
• 4.2 Comparison of Inferred Networks to the Network of Actual Ties
• 4.3 Generative Model Results and Correspondence to Analytical Findings
• 5 Conclusion
• References
• On the Beaten Path: Violence Against Civilians and Simulated Conflict Along Road Networks
• 1 Introduction
• 2 Conflict and Violence Against Civilians
• 3 A New Strategy for Causal Identification: Creating Synthetic Events on the "Beaten Path"
• 4 Data and Case Selection
• 5 Modeling and Results
• 6 Conclusion
• References
• Analysis of Conflict Diffusion Over Continuous Space
• 1 Introduction
• 2 Related Work
• 2.1 Empirical Studies on the Diffusion of Conflict
• 2.2 Grid Models
• 2.3 Continuous Space Models
• 3 Data
• 4 Analysis
• 4.1 Test for Complete Spatial Randomness
• 4.2 Continuous Space Model
• 4.3 Gaussian Process
• 5 Discussion and Future Work
• References
• Rebel Group Protection Rackets: Simulating the Effects of Economic Support on Civil War Violence
• 1 Introduction
• 2 Theoretical Underpinnings
• 2.1 Rebel Group Extortion and Looting
• 2.2 Enterprise Fleeing
• 2.3 Enterprise Reporting
• 2.4 Rebel Group Fighting and Expansion
• 2.5 Rebel Group Cooperation
• 2.6 Rebel Group Recruitment
• 3 Rebel Group Protection Rackets Model
• 3.1 Model Description
• 3.1.1 Income Process
• 3.1.2 Demand Process
• 3.1.3 Expand Process
• 3.2 Scenario and Initialization
• 3.3 Implementation.
• 4 Experiments
• 4.1 Security Experiments
• 4.1.1 Rebel Group Strength
• 4.1.2 Enterprise Allocation
• 4.2 Somalia Case Study
• 4.2.1 Historical Background
• 4.2.2 Data and Experimentation
• 5 Conclusion and Discussion
• References
• Online Material
• Chapter 2: Inventory of Conflict Data
• Chapter 4: R-Package Relational Event Models
• Chapter 5: Supplementary Material and Replication Files to Migration Framing in Political Discourse
• Chapter 6: Agent-Based Simulation Model Simulating Normative Conflict
• Chapter 7: Agent-Based Simulation Model ProtestFate
• Chapter 8: Agent-Based Simulation Model Non-State Armed Groups' Attack Timing
• Chapter 9: Replication Code to On the Beaten Path
• Chapter 10: Replication Code to Analysis of Conflict Diffusion over Continuous Space
• Chapter 11: Agent-Based Simulation Model Rebel Group Protection Rackets
• Index.