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
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

  • 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)

Latest articles

  1. Geographies of Twitter debates

    Authors (first, second and last of 4)

    • Emiliano del Gobbo
    • Lara Fontanella
    • Annalina Sarra
    • Content type: Research Article
    • Open Access
    • Published: 12 September 2021
This journal has 54 open access articles

Journal updates

  • 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.

  • Free to download for a limited time

    Chen, E., Deb, A. & Ferrara, E. #Election2020: the first public Twitter dataset on the 2020 US Presidential election. J Comput Soc Sc (2021).

View all updates

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  1. CNKI
  2. Dimensions
  3. EBSCO Discovery Service
  4. Emerging Sources Citation Index
  5. Google Scholar
  6. Japanese Science and Technology Agency (JST)
  7. Naver
  8. OCLC WorldCat Discovery Service
  9. ProQuest-ExLibris Primo
  10. ProQuest-ExLibris Summon
  11. Research Papers in Economics (RePEc)
  12. TD Net Discovery Service
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