About the Journal

Social Computing Journal is a multidisciplinary academic publication devoted to advancing research and scholarly dialogue at the intersection of computational technologies and social systems. The journal provides an international platform for researchers, academics, and practitioners to explore how digital technologies shape human interaction, online communities, and social behavior in the modern information society.
The field of social computing examines the design, implementation, and analysis of computational systems that support social interaction, collaboration, and collective intelligence. In response to the growing influence of digital platforms and data-driven technologies, the Social Computing Journal promotes interdisciplinary research that integrates perspectives from computer science, information science, sociology, communication studies, and related fields.
The journal publishes high-quality, peer-reviewed contributions that address both theoretical foundations and practical applications of social computing. Topics of interest include, but are not limited to:

• Social media analytics and online behavior modeling

• Human–computer interaction and user-centered design

• Collaborative and participatory technologies

• Crowdsourcing and collective intelligence systems

• Data mining and big data analytics

• Cloud computing and distributed platforms for social applications

• Social commerce and digital marketplaces

• Artificial intelligence and machine learning in social systems

• Natural language processing and sentiment analysis

• Web technologies including Web 2.0 and Web 3.0 ecosystems

• Digital communities, network analysis, and online collaboration

Through rigorous peer review and editorial oversight, the journal aims to disseminate innovative research, emerging trends, and critical insights that contribute to the advancement of knowledge in social computing. By fostering interdisciplinary collaboration and global participation, Social Computing Journal seeks to serve as a leading forum for scholarship in this rapidly evolving domain.

Call for Papers (CFP)

The Social Computing Journal invites original research contributions for upcoming issues. We welcome submissions from researchers, scholars, industry professionals, and practitioners who are engaged in advancing knowledge in the field of social computing and related disciplines.
Scope of the Journal
Submissions may address theoretical, methodological, or applied aspects of social computing, including but not limited to:

• Social network analysis

• Computational social science

• Online communities and digital interaction

• Social media mining and analytics

• Human–AI interaction in social systems

• Machine learning applications in social platforms

• Natural language processing for social data

• Crowd intelligence and crowdsourcing systems

• Ethical, social, and societal implications of digital technologies

• Emerging web technologies and decentralized platforms
   

Types of Submissions

The journal welcomes the following categories of manuscripts:

• Original research articles

• Review and survey papers

• Case studies and technical reports

• Short communications

• Perspectives and commentary

• Interviews with leading researchers and practitioners
   

Submission Guidelines

All submissions should present original and unpublished work that is not currently under review elsewhere. Manuscripts will undergo a rigorous peer-review process conducted by experts in relevant fields to ensure academic quality, originality, and relevance.
Researchers and practitioners from around the world are encouraged to submit their work and contribute to the growing body of knowledge in social computing.


Useful Links
The State of Web 2.0