CLOSED Call for Papers: Special Section on Emerging Social Computing

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Submissions Due: 1 August 2022

Important Dates

  • Submissions Due: 1 August 2022
  • Initial Notification (Accept/Reject/Revise, Tentative): 15 October 2022
  • Revisions Due: 15 December 2022
  • Final Notifications (Tentative): 15 February 2023

Publication (Tentative): Before July 2023


In recent years, traditional social behavior is gradually being replaced by social networks, online shopping, and other online methods. Social computing is gradually becoming an important carrier for information spread and social relationship maintenance. Its influence on real society is increasing and has affected network security and social stability. Social computing is an interdisciplinary field between modern computing technology and social science. On the one hand, it studies the application of computer and information technology in society, as well as the influence of social networks on traditional social behavior. On the other hand, social computing is based on social science knowledge, theory, and methodology to help human beings understand various problems generated by social development and explore the boundaries of human cognition.

The development of technologies such as big data, blockchain, and machine learning has brought unprecedented development opportunities for social computing, but the application of related technologies still faces many challenges. For example, to regulate the collection and use of personal data, countries have introduced different privacy protection policies, and distributed or encrypted data has become a problem for social computing. Machine learning methods have been widely used in the field of social computing in recent years, but still face challenges such as feature sparsity and fake information. How to apply emerging technologies to social computing is still an important research field. In addition, to support the evolving social computing scale and diversified applications, it is also an urgent need for the development of computing systems and technologies to resolve emerging social computing issues.

To promote the development of social computing and related fields, this special section will provide a platform for researchers to exchange the latest research. The special section will focus on the hot problems of social computing, the latest progress of emerging computing and system technologies in social computing, and the interdisciplinary applications of social computing in social networks, e-commerce, urban development, virtual reality, and cyber security. The aim is to promote the fundamental research and application of emerging technologies and computing system designs in the social computing field.

This special section aims to present the technological advancements in computing that are underpinning the current revolution in social computing, shaping our future concept of network security and social stability in the broadest sense of the term. Cross-disciplinary and emerging applications that lay at the intersection of different sub-fields are especially welcome. Relevant topics of interest to this special section include (but are not limited to):

  • Computer system designs for applications related to social public opinion, information dissemination, and social rumors
  • Computing aspects of social public opinion, information dissemination, opinion trends, and social rumors
  • Modeling and simulation of emerging social systems
  • Emerging computing systems and technologies for social networks and group behavior analysis
  • High-performance computing or emerging system technologies to support societal intelligence-based methodologies and applications for transportation industry
  • Emerging computing systems and interaction design for participatory processes and social interactions in areas such as e-government, culture, sustainability, health, and well-being
  • Social e-commerce and user behavior analysis with next-generation computing systems or emerging hardware
  • Social relationship computing in multimedia
  • Social network user modeling (e.g., user emotion, personality, and individual cognitive differences) with the support of various computing systems or technologies
  • Emerging social computing applications and their cases studies

Submission Guidelines

For author information and guidelines on submission criteria, please visit IEEE TETC‘s Author Information page. Please submit papers through the ScholarOne system, and be sure to select the special-section name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal.


Questions?

Please contact the guest editors at tetc.si.sc@gmail.com.

Guest Editors

Yunpeng Xiao, Chongqing University of Posts and Telecommunications, China

Paloma Díaz, Universidad Carlos III de Madrid, Spain

Corresponding TETC Editor: Yuan-Hao Chang, Institute of Information Science, Academia Sinica, Taiwan (IEEE Senior Member)