
First issue published in January 2018.
The Journal of Computational Social Science (JCSS) is an interdisciplinary peer-reviewed journal that ties together groundbreaking research across the strata of the social sciences (sociology, economics, political science, psychology, linguistics, and other disciplines), physics, biology, management science, computer science, and data science. In addition to topics conventionally associated with computational social science, the journal invites contributions that analyze social/ economic phenomena or structures using computational approaches related to, but not restricted to, the following methods or fields:
complex systems
economic modeling
econophysics
financial networks
risk management
urban planning
transportation analysis
artificial intelligence
image processing
text analytics
computational linguistics
numerical optimization
simulation-based statistical inference
high-performance computing
We invite contributions from researchers in any field who analyze social/ economic phenomena or structures based on large-scale data, simulations, or other computational approaches.
- Publishes research spanning the social sciences, physics, biology, management science, computer science, and data science
- Covers computational approaches to related fields: complex systems, financial networks, urban planning and transportation analysis, computational linguistics, and more Benefits scholars seeking to understand social and economic structures and phenomena from a computational point of view
Journal information
- Editor-in-Chief
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- Takashi Kamihigashi
- Publishing model
- Hybrid (Transformative Journal). Learn about publishing Open Access with us
Journal metrics
- 72 days
- Submission to first decision
- 166 days
- Submission to acceptance
- 65,915 (2020)
- Downloads
Latest issue
Latest articles
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Exploring the disparity of influence between users in the discussion of Brexit on Twitter
Authors (first, second and last of 4)
Journal updates
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COVID-19 and impact on peer review
As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
About this journal
- Electronic ISSN
- 2432-2725
- Print ISSN
- 2432-2717
- Abstracted and indexed in
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- CNKI
- Dimensions
- EBSCO Discovery Service
- Google Scholar
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- Naver
- OCLC WorldCat Discovery Service
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- Research Papers in Economics (RePEc)
- TD Net Discovery Service
- Copyright information