Complex Network and Data Mining

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Network Science".

Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 202

Special Issue Editors


E-Mail Website
Guest Editor
Department of Information Systems, ELTE Eötvös Loránd University, 1117 Budapest, Hungary
Interests: logic and foundations of mathematics; bioinformatics; databases; data mining; distributed computing; network science

E-Mail
Guest Editor
Department of Computer Science and Systems Technology, University of Pannonia, 8200 Veszprém, Hungary
Interests: artificial intelligence; machine learning; data mining; health informatics; network analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Complex networks and data mining are two important and interrelated fields in computer science and data analysis. Complex networks refer to large-scale systems composed of interconnected nodes, such as social networks, biological systems, and physical systems. Data mining involves extracting valuable insights and knowledge from large datasets. The combination of these two fields has led to a greater understanding of complex systems and has facilitated the development of effective solutions to real-world problems.

Mathematical problems associated with complex networks include the study of network centralities, where nodes with high centrality have a greater influence on the overall behavior of the network. Other mathematical concepts associated with complex networks include clustering, community detection.

Some possible topics for articles related to complex networks and data mining include the development of novel algorithms for network analysis, the application of complex network analysis to different domains, the study of information propagation and influence in social networks, the application of complex network analysis to biological systems, and the development of more efficient and robust systems for Industry 5.0. Other possible topics could include the study of network resilience and vulnerability, the development of algorithms for community detection and clustering, and the study of network evolution over time.

Dr. Attila Kiss
Dr. Agnes Vathy-Fogarassy
Guest Editors

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

  • complex networks
  • data mining
  • Industry 5.0
  • biological networks
  • graph theory
  • network centralities
  • rumor propagation
  • physical systems
  • community detection
  • network resilience

Published Papers

There is no accepted submissions to this special issue at this moment.
Back to TopTop