Artificial Intelligence in Complex Network

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (15 September 2021) | Viewed by 891

Special Issue Editors

Department of Mathematics and Computer Science, Physical Sciences and Earth Sciences, University of Messina, 1 - 98122 Messina, Italy
Interests: network science; criminal networks; machine learning; data science; social network analysis
Special Issues, Collections and Topics in MDPI journals
Department of Ancient and Modern Civilizations, University of Messina, Messina, Italy
Interests: network science; graph mining; community detection in graphs; recommender systems; trust in virtual communities
Special Issues, Collections and Topics in MDPI journals
Edinburgh Napier University, UK
Interests: eHealth; information science; information visualisation; networks; software systems; smart mobility; automation; smart cities; user experience; sensors; Internet of Things
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Complex networks offer a unified approach to the study of real-world entities and their connections. Examples of complex networks can be found in many fields of science such as biological systems, economic systems, and social systems.

In recent years, there has been a significant upsurge of interest in the application of artificial intelligence methods to the study of complex networks. In this context can be ascribed, for example, the suggestion of new connections between entities, the discovery of patterns, and the emergence of structures.

This Special Issue welcomes theoretical and experimental contributions in the area of artificial intelligence applications of complex networks. Areas of interest include but are not limited to the following:

  • Link prediction;
  • Maximum likelihood;
  • Artificial intelligence methods in complex networks;
  • Artificial intelligence methods in criminal networks;
  • Community detection;
  • Network mining;
  • Methods for the analysis of network structures.

Prof. Dr. Giacomo Fiumara
Prof. Dr. Pasquale De Meo
Prof. Dr. Antonio Liotta
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. Applied Sciences 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 2400 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.

Published Papers

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