Dear Colleagues,

Information theory provides several measures to assess the complex systems associated with graphs and networks. These measures are based on Claude Shannon’s well known entropy measure, which allows for quantifying the structural information content of a network. Quantitative values obtained in this way reflect underlying graph topology and serve as measures of graph complexity. However, such measures are relative to particular structural features, and thus it may be said that graph complexity is “in the eye of the beholder.” This accounts in large part for the proliferation of entropy and related information-theoretic measures defined on graphs.

Many research papers have introduced entropy measures based on graph invariants. Thus, the literature abounds with analytical results, studies of correlations between network properties and quantitative values, and investigations into the uniqueness of entropy measures.

This Special Issue invites contributions that present new and original research based on the use of information-theoretic graph measures. Analytical contributions proving properties/relations or their application to any kind of data are welcome. Manuscripts reviewing the most recent state-of-the-art research on this topic will also be considered.

Prof. Matthias M. Dehmer
Prof. Dr. Shenggui Zhang
Prof. Dr. Abbe Mowshowitz
Prof. Dr. Frank Emmert-Streib
Prof. Dr. Yongtang Shi
Prof. Dr. Zengqiang Chen
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.