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 1054
Special Issue Editors
Interests: network science; criminal networks; machine learning; data science; social network analysis
Special Issues, Collections and Topics in MDPI journals
Interests: network science; graph mining; community detection in graphs; recommender systems; trust in virtual communities
Special Issues, Collections and Topics in MDPI journals
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
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