Dear Colleagues,

This Special Issue aims to gather research that studies the use of entropy concept and measures in  complex networks. We aim to provide the audience with the state of the art in this rapidly growing research direction. The submissions are welcome on entropy concept and measures in network science, including, but not limited to:

• Social network dynamics, evolution, and clustering, scholar & citation networks;
• Analytics for covert network such as crime, and terrorist network, including edge augmentation and community detection;
• Multilayer complex networks analysis and clustering;
• Network ensembles and topological phase transitions, and network geometry and hyperbolic models;
• Entropy in analysis and prediction of spreading and diffusion processes in networks (e.g., social influence);
• Analysis of dynamics and clustering of bionetworks, including gene co-expression networks, protein-protein interaction networks, signaling pathways;
• Any applications of entropy concept and measures to complex networks.

This Special Issue is intended to be a cross-domain knowledge exchange, which is why we welcome contributions on the state of the art and current research in the aforementioned areas from different perspectives, such as computer science, physics, and mathematics, but also including sociology, psychology,  and marketing that focus on complex social networks.

The last two decades have seen unprecedented growth of hardware and software for monitoring and controlling industrial, and personal networks fueling data revolution that makes data about the network dynamics ubiquitous and giving rise to data science. At the same time abundance of processing power of computers fueled leaps of achievements in Machine Learning and AI. The editors of this  Special Issue are therefore interested in new methods that combine data availability and novel ML and AI tools to enable researchers to investigate interwoven phenomena arising at different levels of complex networks through the prism of entropy that is fundamental to understanding dynamics and evolution of complex systems.

This call for papers is also fully open to all who want to contribute by submitting a relevant research manuscript to this Special Issue of Entropy, published by MDPI in open access format.

Prof. Dr. Boleslaw K. Szymanski
Prof. Dr. Gergely Palla
Prof. Dr. Hocine Cherifi
Prof. Dr. Tao Jia
Prof. Dr. Przemysław Kazienko
Dr. Pramesh Singh
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. 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.

• entropy
• entropy measures
• complex networks
• network dynamics
• multilayer networks
• diffusion processes
• community detection