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 624
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
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
- 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
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.
