Data Mining Algorithms and Mathematical Models for Social Network Analysis
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 1 March 2026 | Viewed by 448
Special Issue Editor
Special Issue Information
Dear Colleagues,
Social networks have become a cornerstone of modern data analysis, offering rich insights into human behavior, communication patterns, and social structures. This Special Issue focuses on the intersection of data mining algorithms and mathematical models tailored for social network analysis, aiming to advance our understanding of complex relational data. We invite contributions on new approaches or techniques for addressing challenges such as community detection, influence propagation, fake news detection, and dynamic network modeling. Topics of interest include, but are not limited to, machine learning approaches for social network analysis, mathematical modeling of network evolution, graph-based algorithms for social network data, and applications in domains such as fake news detection, recommendation systems, echo chambers, and the science of science. By bridging theoretical advancements with practical applications, this Special Issue will foster interdisciplinary collaboration and highlight innovative solutions that push the boundaries of social network analysis. We welcome research that not only addresses computational challenges but also explores novel methodologies to extract meaningful insights from ever-growing and interconnected datasets.
Dr. Chenbo Fu
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- data mining algorithms
- mathematical models
- social network analysis
- artificial intelligence
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
