Computational Conflict Research
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 machin...
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| Other Authors: | , , , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
| Series: | Computational Social Sciences,
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| Subjects: | |
| Online Access: | Link to Metadata |
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Table of Contents:
- 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.