Mathematical Models and Methods in Computational Social Science
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 125
Special Issue Editors
Interests: computational communication
Interests: spreading dynamics
Special Issue Information
Dear Colleagues,
Advanced mathematical models and methods are playing an increasingly critical role in computational social science by offering rigorous frameworks for analyzing the complex dynamics of social systems. Nonetheless, a gap often exists between state-of-the-art mathematical approaches and their broader application in social research, especially among scholars without formal mathematical training.
The aim of this Special Issue is to help bridge this divide by showcasing the potential of novel mathematical techniques across diverse areas of computational social science. We invite contributions that highlight innovative modeling and methodological advancements in topics such as social networks, agent-based modeling, text mining, big data analytics, public policy evaluation, social influence, opinion dynamics, and behavioral economics. Submissions emphasizing cross-disciplinary collaboration, empirical validation, and actionable insights are especially welcome.
By bringing together scholars from mathematics, computer science, social sciences, and related fields, this Special Issue seeks to foster a deeper dialogue on how mathematical thinking can enhance our understanding of societal processes. We look forward to your submissions, which will help illuminate the transformative power of mathematical methods in driving new discoveries and practical applications within computational social science.
Prof. Dr. Ye Wu
Dr. Lin Zhang
Dr. Xiaofan Liu
Guest Editors
Manuscript Submission Information
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Keywords
- computational methods
- social robots
- agent-based modeling
- social network analysis
- mathematical modeling
- complex systems
- big data analytics
- opinion dynamics
- quantitative social science
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