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IEEE Transactions on Computational Social Systems (IEEE TCSS)

Publisher :

IEEE

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Communication
  • Networking
  • Broadcast Technologies

    • +2

e-ISSN :

2329-924X

Issue Frequency :

Bi-Monthly

Impact Factor :

4.5

Est. Year :

2014

Mobile :

12027850835

DOI :

YES

Country :

United States

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

TCSS.IEEE@gmail.com, ieeeusa@ieee.org

Journal Descriptions

IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, this transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The transactions also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.


IEEE Transactions on Computational Social Systems (IEEE TCSS) is :

International, Peer-Reviewed, Open Access, Refereed, Communication, Networking, Broadcast Technologies, Computing, Processing , Online Bi-Monthly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 2329-924X, Established in - 2014, Impact Factor - 4.5

Provide Crossref DOI

Indexed in Scopus, WoS, PubMed

Not indexed in DOAJ, UGC CARE

Indexing

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Scopus
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WoS
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PubMed

+4 More

Publications of IEEE TCSS

  • dott image September, 2024

Advances in Artificial Intelligence and Blockchain Technologies for Early Detection of Human Diseases

Modern healthcare should include artificial intelligence (AI) technologies for disease identification and monitoring, particularly for chronic conditions, including heart, diabetes, kidney, ...

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