Advances in Complex Networks and Artificial Intelligence
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 398
Special Issue Editor
Special Issue Information
Dear Colleagues,
Complex networks have found extensive applications in various fields, and the emergence of artificial intelligence has led to the proposal of numerous applications that integrate these approaches. Additionally, networked systems have been characterized and modeled using theory of information and entropy concepts, aiding in the understanding of information networks. The combination of these concepts has been particularly useful in community detection and in comprehending networks generated by sequences, such as texts or time series. Other applications include the use of machine learning tools and complex networks in Science of Science.
This Special Issue is a platform for showcasing studies that merge networked systems, artificial intelligence applications, and concepts from the theory of information and entropy. Specifically, it focuses on the analysis and interpretation of complex systems using both real and artificial datasets, with the support of statistical methods.
Dr. Diego Raphael Amancio
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. Entropy 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 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
- machine learning
- information networks
- text networks
- citation networks
- social networks
- science of science
- large language models
- learning
- information science.
