Computational Social Science and Complex Systems
A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".
Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 47485
Special Issue Editors
Interests: complex systems; network science; systems biology and computational social science
Special Issues, Collections and Topics in MDPI journals
Interests: complex systems; non-equilibrium physics; networks; biophysics; math modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Social and technological revolutions, such as the internet and social media, have profoundly transformed the way humans interact with one another, leading to the development of disciplines such as computing and information technology. We now have access to previously unimaginable amounts of information and high-resolution dynamical data that other sciences can only imagine. From the movements of individuals to the continuous activity taking place in social networks, a challenge for the social and computational sciences is to extract relevant information from these massive amounts of data and unravel the mechanisms that drive its complex dynamics. Computational social science is an emerging discipline in charge of developing and applying computational methods to deal with complex, large-scale, human behavioral data. This interdisciplinary field has attracted great interest among not only social scientists, but also among computer scientists and statistical physicists alike.
This Special Issue is devoted to presenting recent developments in the computational and mathematical techniques of data extraction and visualization, analysis, and modeling of complex social structures, and bringing a new understanding to the field of computational social sciences. The topics of this Special Issue include but are not limited to:
- Computer simulation applications in social systems;
- Social media and social network analysis;
- Application of big data and artificial intelligence in social science;
- Social math and modeling;
- Progress of complex systems;
- Computational modeling of cognition;
- Ethics and computational social science.
Dr. Minzhang Zheng
Dr. Pedro D. Manrique
Guest Editors
Manuscript Submission Information
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Keywords
- computational social science
- complex systems
- big data
- social networks
- machine learning
- natural language processing.
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