Special Issue on Big Data and Social Science

Big Data and Social Science explores the use of large-scale, complex, and diverse datasets to better understand human behavior, social interactions, institutions, and societal change. By integrating computational methods, statistical analysis, machine learning, and social science theories, the field enables researchers to analyze patterns from digital platforms, administrative records, surveys, geospatial data, and other data sources. It addresses topics such as social networks, public opinion, digital behavior, policy evaluation, inequality, urban development, and ethical issues related to data privacy and governance, providing evidence-based insights to inform research, decision-making, and public policy.

In this special issue, we intend to invite front-line researchers and authors to submit original research and review articles on exploring Big Data and Social Science. Potential topics include, but are not limited to:

• Computational social science
• Social network analysis
• Digital sociology
• Public opinion analytics
• Social media analysis
• Predictive social modeling
• Urban data science
• Population studies
• Behavioral analytics
• Policy analytics
• Geospatial social analysis
• Text mining
• Survey data integration
• Digital inequality
• Data ethics and governance
• Machine learning applications

Authors should read over the journal’s For Authors carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System.

Please kindly specify the “Special Issue” under your manuscript title. The research field “Special Issue - Big Data and Social Science” should be selected during your submission.

Special Issue Timetable:

Guest Editor:

For further questions or inquiries, please contact Editorial Assistant at

E-mail: papersubmissionmcy@gmail.com

JSS Editorial Office

jss@scirp.org