The Resource Computational Conflict Research, edited by Emanuel Deutschmann, Jan Lorenz, Luis G. Nardin, Davide Natalini, Adalbert F. X. Wilhelm, (electronic resource)
Computational Conflict Research, edited by Emanuel Deutschmann, Jan Lorenz, Luis G. Nardin, Davide Natalini, Adalbert F. X. Wilhelm, (electronic resource)
Resource Information
The item Computational Conflict Research, edited by Emanuel Deutschmann, Jan Lorenz, Luis G. Nardin, Davide Natalini, Adalbert F. X. Wilhelm, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.This item is available to borrow from 1 library branch.
Resource Information
The item Computational Conflict Research, edited by Emanuel Deutschmann, Jan Lorenz, Luis G. Nardin, Davide Natalini, Adalbert F. X. Wilhelm, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.
This item is available to borrow from 1 library branch.
- Summary
- 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.--
- Language
- eng
- Edition
- 1st ed. 2020.
- Extent
- 1 online resource (XVIII, 264 pages)
- 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
- Isbn
- 9783030293338
- Label
- Computational Conflict Research
- Title
- Computational Conflict Research
- Statement of responsibility
- edited by Emanuel Deutschmann, Jan Lorenz, Luis G. Nardin, Davide Natalini, Adalbert F. X. Wilhelm
- Language
- eng
- Summary
- 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.--
- Assigning source
- Provided by publisher
- Image bit depth
- 0
- Literary form
- non fiction
- Nature of contents
- dictionaries
- http://library.link/vocab/relatedWorkOrContributorName
-
- Deutschmann, Emanuel
- Lorenz, Jan
- Nardin, Luis G
- Natalini, Davide
- Wilhelm, Adalbert F. X
- Series statement
-
- Open Access e-Books
- Computational Social Sciences,
- http://library.link/vocab/subjectName
-
- Social sciences—Data processing
- Social sciences—Computer programs
- Peace
- Terrorism
- Political violence
- Data mining
- Label
- Computational Conflict Research, edited by Emanuel Deutschmann, Jan Lorenz, Luis G. Nardin, Davide Natalini, Adalbert F. X. Wilhelm, (electronic resource)
- Antecedent source
- mixed
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- not applicable
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- 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
- Control code
- 978-3-030-29333-8
- Dimensions
- unknown
- Edition
- 1st ed. 2020.
- Extent
- 1 online resource (XVIII, 264 pages)
- File format
- multiple file formats
- Form of item
-
- online
- electronic
- Governing access note
-
- Open Access
- Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
- Isbn
- 9783030293338
- Level of compression
- uncompressed
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- 54 illustrations, 33 illustrations in color.
- Quality assurance targets
- absent
- Reformatting quality
- access
- Specific material designation
- remote
- System control number
- (OCoLC)1127391744
- Label
- Computational Conflict Research, edited by Emanuel Deutschmann, Jan Lorenz, Luis G. Nardin, Davide Natalini, Adalbert F. X. Wilhelm, (electronic resource)
- Antecedent source
- mixed
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- not applicable
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- 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
- Control code
- 978-3-030-29333-8
- Dimensions
- unknown
- Edition
- 1st ed. 2020.
- Extent
- 1 online resource (XVIII, 264 pages)
- File format
- multiple file formats
- Form of item
-
- online
- electronic
- Governing access note
-
- Open Access
- Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
- Isbn
- 9783030293338
- Level of compression
- uncompressed
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- 54 illustrations, 33 illustrations in color.
- Quality assurance targets
- absent
- Reformatting quality
- access
- Specific material designation
- remote
- System control number
- (OCoLC)1127391744
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/portal/Computational-Conflict-Research-edited-by/NIiomYoOeAQ/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/portal/Computational-Conflict-Research-edited-by/NIiomYoOeAQ/">Computational Conflict Research, edited by Emanuel Deutschmann, Jan Lorenz, Luis G. Nardin, Davide Natalini, Adalbert F. X. Wilhelm, (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>
