Special Issue on Big Data and Social Science

With the rapid development of information technology, big data has become a crucial tool in social science research. It enables researchers to understand social phenomena more comprehensively by analyzing vast amounts of data and uncovering hidden patterns and trends. However, the use of big data also faces challenges such as privacy protection, data security, and personal rights. The goal of this special issue is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in the area of Big Data and Social Science.

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:

• Data collection
• Data analysis
• Data interpretation
• Social phenomena
• Behavior analysis
• Data mining
• Machine learning
• Predictive modeling
• Policy making
• Marketing analytics
• Data quality
• Privacy concerns
• Big data technology

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:

Dr. JAYACHANDRAN.S

Computer Science, University of Madras, India

For further questions or inquiries, please contact Editorial Assistant at

E-mail: papersubmissionmcy@gmail.com

JSS Editorial Office

jss@scirp.org