Transactions on Computational Social Systems


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, the proposed 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 journal 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.

Call for Papers: Special Issue on Knowledge-Infused Learning for Computational Social Systems

Over the last decades, research on computational social systems has gained much more attention, with thousands of researchers and practitioners leveraging diverse research findings and experimental models to enrich this domain. Thanks to the digital age, which has made the computational social system a reality. However, the integration of this technology in our daily lives leads to the generation of enormous amounts of data. The scale of this data is vast, and it presents unprecedented opportunities to examine complex social behaviours, ranging from the proliferation of infectious disease to socio-economic disparity. Probably these instances were further enhanced with the associated research findings.

Guest Editors

Dr. Tu Nguyen (Lead Guest Editors)
Kennesaw State University, USA.

Dr. Vincenzo Piuri
University of Milan, Italy

Dr. Joel Rodrigues
Federal University of Piauí (UFPI), Teresina - PI, Brazil

Dr. Lianyong Qi
Qufu Normal University, China.

Dr. Shahid Mumtaz
Instituto de Telecomunicações, Portugal

Dr. Warren Huang-Chen Lee
National Chung Cheng University, Taiwan.

Learn more and submit your paper today.

Posting Preprints to Non-IEEE Servers

Authors should disclose postings on approved preprint services when submitting papers to SMCS Journals. 

Consult relevant sections posted here.

The following statement must be included on the initial screen of the preprint site:

    • “This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.”


Bin Hu
Bin Hu
Gansu Provincial Key Laboratory of Wearable Computing
School of Information Science and Engineering, Lanzhou University
Lanzhou, China

Peer Review

The articles in this journal are peer reviewed in accordance with the requirements set forth in the IEEE Publication Services and Products Board Operations Manual. Each published article was reviewed by a minimum of two independent reviewers using a single-blind peer review process, where the identities of the reviewers are not known to the authors, but the reviewers know the identities of the authors. Articles will be screened for plagiarism before acceptance.

Editorial Board Members

    • HUSSEIN ABBASS, Univ. of New South Wales, Australia
    • DANIEL BILAR, Norwich Univ., United States
    • DONGPU CAO, Univ. of Waterloo, Canada
    • KATHLEEN CARLEY, Carnegie Mellon Univ., United States
    • PETER CHIN, Boston Univ., United States
    • VALENTINO CRESPI, BAE Systems, United Kingdom
    • GEORGE CYBENKO, Dartmouth College, United States
    • BART DAVIS, U.S. Army Eng. Res. and Develop. Ctr., United States
    • WEI DUAN, National Univ. of Defense Technology, China
    • MARIA PIA FANTI, Politecnico di Bari, Italy
    • LAURIE FENSTERMACHER, Air Force Research Lab., United States
    • MARINA L. GAVRILOVA, University of Calgary, Canada
    • ARAM GALSTYAN, ISI, University of Southern California, United States
    • MATTHEW GERBER, Univ. of Virginia, United States
    • ERIC GILBERT, Georgia Tech, United States
    • BIN HU, Lanzhou Univ., China
    • ALEXY KHRABROV, Nitro, United States
    • VIKRAM KRISHNAMURTHY, Univ. of British Columbia, Canada
    • JUANJUAN L I, Beijing Institute of Technology, China
    • LINGXI LI, Indiana Univ., United States
    • ED MACKERROW, Los Alamos National Lab., United States
    • XIAOFENG MENG, Renmin Univ. of China, China
    • NURIA OLIVER, Vodafone, United Kingdom
    • VIR PHOHA, Syracuse Univ., United States
    • GLENN PIERCE, Northeastern Univ., China
    • RUI QIN, Chinese Academy of Sciences, China
    • HANBING QU, Beijing Institute of, New Technology Applications, China
    • JOHN SALERNO, Harris Corp., United States
    • DAVID SKILLICORN, Queens Univ., Canada
    • VS SUBRAHMANIAN, Univ. Maryland, United States
    • BOLESLAW SZYMANSKI, RPI, United States
    • YING TANG, Rowan University, United States
    • RAND WALTZMAN, Carnegie Mellon Univ., United States
    • ZHE WAN, National Development and Reform Commission, China
    • TAO WANG, National Univ. of Defense Technology, China
    • XIAO WANG, Qingdao Academy of Intelligent Industries, China
    • ZHI WEI, NJ Inst. of Technol., China
    • KEVIN XU, Univ. Toledo, United States
    • PEIJUN YE, Univ. of California, United States
    • HUI YU, University of Portsmouth, United Kingdom
    • SHUI YU, Deakin Univ., Australia
    • YONG YUAN, Chinese Academy of Sci., China
    • JUN JASON ZHANG, University of Denver, United States
    • LIYING ZHANG, Central University of Finance and Economics, China
    • QINGPENG ZHANG, City Univ. of Hong Kong, China
    • SUNSHINE ZHANG, New York University, United States
    • MIN ZHOU, Univ. of South. California, United States
    • HAIBIN ZHU, Nipissing University, Canada
    • ALBERT ZOMAYA, Univ. Sidney, Australia