Recent Advances in Community Detection Algorithms and Applications
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Analysis of Algorithms and Complexity Theory".
Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 3185
Special Issue Editor
Special Issue Information
Dear Colleagues,
We invite you to submit your latest research in the area of community detection on complex networks to this Special Issue entitled “Recent Advances in Community Detection Algorithms and Applications”.
The study of complex networks is a young and active field of scientific research, largely inspired by empirical findings on real networks such as computer, biological, technological and social networks.
Studies have shown that real complex networks present interesting properties, for example, power–law degree distribution, small diameter, the existence of nodes playing central roles as well as the existence of modular structure.
A community structure consists of several nodes that show dense internal connections relative to the rest of the network. Identifying communities is a difficult problem that has aroused considerable interest. Despite these difficulties, several methods for community detection have been developed and employed with varying levels of success. We are seeking new and innovative approaches for community detection methods and applications.
We invite you to submit original high-quality research on new trends in community detection in complex networks. Topics of interest include but are not limited to:
- Local, global community detection
- Community detection with novel objective functions
- Multi-objective community detection
- Overlapping community detection
- Dynamic community detection
- Community detection in multilayer/multiplex networks
- Complexity of community detection tasks
- Parallel and distributed algorithms for community detection
- Community detection and graph embeddings
- Community detection for social media applications
- Community characterization
- Community detection with deep learning
- Explainable community detection algorithms
Dr. Maria Malek
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. Algorithms is an international peer-reviewed open access monthly 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 1600 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
- community detection
- community characterization
- community detection for social media applications
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