Data Analysis for Social Networks and Information Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 10 July 2025 | Viewed by 553
Special Issue Editor
Interests: machine learning; data mining; data science; social network analysis; social media mining; educational data mining
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue on "Data Analysis for Social Networks and Information Systems" invites contributions that explore the mathematical computing and algorithmic approaches to analyzing complex social networks and information systems. This Special Issue aims to advance our understanding of how data-driven methods can be applied to uncover patterns, dynamics, and insights from social network structures and information flows. We welcome submissions that focus on the development and application of advanced algorithms, such as graph-based models, machine learning techniques, optimization algorithms, and statistical methods, to tackle challenges in network analysis. Potential topics include, but are not limited to, community detection, network evolution, influence propagation, and the integration of heterogeneous data sources. The goal is to foster interdisciplinary research that bridges the gap between theoretical foundations and practical applications in social network analysis and information system optimization. Authors are encouraged to present novel methodologies, case studies, or comprehensive reviews that contribute to this evolving field.
Dr. Hamid Karimi
Guest Editor
Manuscript Submission Information
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Keywords
- social network analysis
- information systems
- mathematical computing
- algorithm design
- graph theory
- machine learning
- community detection
- network evolution
- network dynamics
- influence propagation
- big data analytics
- statistical methods
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