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 174
Special Issue Editors
Interests: logic and foundations of mathematics; bioinformatics; databases; data mining; distributed computing; network science
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
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Keywords
- complex networks
- data mining
- Industry 5.0
- biological networks
- graph theory
- network centralities
- rumor propagation
- physical systems
- community detection
- network resilience
