Scope
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.
Email: [emailprotected]
Dr. Vincenzo Piuri
University of Milan, Italy
Email: [emailprotected]
Dr. Joel Rodrigues
Federal University of Piauí (UFPI), Teresina – PI, Brazil
Email: [emailprotected]
Dr. Lianyong Qi
Qufu Normal University, China.
Email: [emailprotected]
Dr. Shahid Mumtaz
Instituto de Telecomunicações, Portugal
Email: [emailprotected]
Dr. Warren Huang-Chen Lee
National Chung Cheng University, Taiwan.
Email: [emailprotected]
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.”
Editor-in-Chief
Bin Hu
Editor-In-Chief
Gansu Provincial Key Laboratory of Wearable Computing
School of Information Science and Engineering, Lanzhou University
Lanzhou, China
Email: [emailprotected]
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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-anonymous 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
- MOUSA AL-KFAIRY, Zayed Univ., UAE
- SAMBIT BAKSHI, Nat. Inst. of Tech. Rourkela, India
- KRISHAN BERWAL, Military College of Telecommunication Engineering, India
- DANIEL BILAR, Norwich Univ., United States
- HANSHU CAI, Lanzhou Univ., China
- WEI CAI, Chinese Univ. of Hong Kong, China
- ZHIPENG CAI, Georgia State Univ., United States
- GABRIELLA CASALINO, Univ. of Bari Aldo Moro, Italy
- XUEQI CHENG, Chinese Academy of Sci., China
- ZHIYONG CHENG, ZhongJuYuan Intelligent Tech. Co., Ltd., China
- PETER CHIN, Boston University, United States
- CARMELA COMITO, Consiglio Nazionale delle Ricerche (CNR), Italy
- GEORGE CYBENKO, Dartmouth College, United States
- DEBASMIT DAS, QUALCOMM Inc., United States
- YOUCEF DJENOURI, Univ. of South-Eastern, Norway
- QUNXI DONG, Beijing Inst. of Tech., China
- WEI DUAN, National Univ. of Defense Tech., China
- MARIA PIA FANTI, Politecnico di Bari, Italy
- LUOYI FU, Shanghai Jiao Tong Univ., China
- MARINA L. GAVRILOVA, Univ. of Calgary, Canada
- HANSU GU, Amazon.com Inc, United States
- SAQIB HAKAK, Univ. of New Brunswick, Canada
- RICHANG HONG, Hefei Univ. of Tech., China
- XIPING HU, Bravolol Limited, China
- ROY KA-WEI LEE, Singapore Univ. of Tech. and Design, Singapore
- VICTOR C.M. LEUNG, Univ. of British Colombia, Canada
- JUANJUAN LI, Beijing Inst. of Tech., China
- KEN LI, Univ. College London, United Kingdom
- LINGXI LI, Indiana Univ., United States
- MI LI, Beijing Univ. of Tech. China
- GUANJUN LIU, Tongji Univ. China
- XIAOFAN LIU, City Univ. of Hong Kong, China
- YU LIU, South China Univ. of Tech., China
- ZHE LIU, Zhejiang Lab, China
- ZHIHAN LV, Uppsala Univ., Sweden
- KENJI MORITA, The Univ. of Tokyo, Japan
- NURIA OLIVER, Vodafone, United Kingdom
- VIR PHOHA, Syracuse Univ., United States
- RUI QIN, Chinese Academy of Sciences, China
- IMRAN RAZZAK, Deakin Univ., Australia
- RAJA. S.P., VelTech Univ., India
- SRIPARNA SAHA, Indian Inst. of Tech. Patna, India
- KAIZE SHI, Univ. of Tech. Sydney, Australia
- AMIT KUMAR SINGH, Nat. Inst. of Tech. Patna, India
- DAWEI SONG, The Open Univ. (OU), United Kingdom
- GAUTAM SRIVASTAVA, Brandon Univ., Canada
- YING TANG, Rowan Univ., United States
- ZHE WAN, National Development and Reform Commission, China
- FEI-YUE WANG, Chinese Academy of Sciences, China
- SHIQIANG WANG, Thomas J. Watson Research Center, United States
- TAO WANG, National Univ. of Defense Tech., China
- XIAO WANG, Qingdao Academy of Intelligent Industries, China
- KEVIN XU, Univ. Toledo, United States
- DONGREN YAO, Harvard Medical School, United States
- PEIJUN YE, Chinese Academy of Sciences, China
- HUI YU, Univ. of Glasgow, United Kingdom
- JUN JASON ZHANG, Univ. of Denver, United States
- LIYING ZHANG, Central Univ. of Finance and Economics, China
- QINGPENG ZHANG, Univ. of Hong Kong, China
- SUNSHINE ZHANG, Duke Kunshan Univ., China
- TONG ZHANG, South China Univ. of Tech., China
- MIN ZHOU, Beijing Jiaotong Univ., China
- XIAOKANG ZHOU, Kansai Univ., Japan
- HAIBIN ZHU, Nipissing Univ., Canada
- JIA ZHU, Zhejiang Normal Univ., China
- JIANMING ZHU, Univ. of Chinese Academy of Science, China
Articles
16 August 2024
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25 March 2024
Being a popular mode of text-based communication in multilingual communities, code mixing in online social media has become an important subject to study. Learning the semantics and morphology of code-mixed language remains a key challenge due to the scarcity of data, the unavailability of robust, and language-invariant representation learning techniques....
06 March 2024
This study investigates the underlying factors that contribute to the success of digital learning in higher education using a social capital perspective. It is important to address the issues faced in tertiary education as these students will soon be a part of the workforce. Although digital learning has advanced in...
21 February 2024
The Social Internet of Things (SIoT) is revolutionizing how we interact with our everyday lives. By adding the social dimension to connecting devices, the SIoT has the potential to drastically change the way we interact with smart devices. This connected infrastructure allows for unprecedented levels of convenience, automation, and access...
22 January 2024
Recent years, the successful application of block-chain in cryptocurrency has attracted a lot of attention, but it has also led to a rapid growth of illegal and criminal activities. Phishing scams have become the most serious type of crime in Ethereum. Some existing methods for phishing scams detection have limitations,...
02 January 2024
In the past few years, we have witnessed the rapid development and exponential growth of generative artificial intelligence (GAI) technologies including large language models (LLMs)-enabled ChatGPT and peripheral innovations. These technologies are designed to be humanlike intelligence and intuitive by providing direct access to systems using application programming interfaces (APIs)....
