New Trends in Graph and Complexity Based Data Analysis and Processing

Dear Colleagues,

Analysis and processing of data may significantly benefit from an appropriate relation of the sensing points, signal values, or analyzed objects. In this way, a new data domain in the form of a graph arises and naturally and comprehensively takes into account irregular data relations in the problem definition, together with the corresponding data connectivity. The introduction of new graph-based relations between the time-series samples, in well-defined time and space domains, may also lead to new insights into signal analysis and provide enhanced data processing. Although graph theory, as a branch of mathematics, was established a long time ago, it has been largely focused on analyzing the underlying graphs rather than signals and data on graphs, which turn out to be a hot recent research topic.

In addition, in recent years, classical complexity and entropy measures have been upgraded by new entropy-like measures focusing on multidimensional generalizations of the concepts with special attention directed to the quantification of similarity and coupling between time series and system components behind them. Recent research is focused on understanding the nature of complexity measures, their relationships, and proper parameter selection for various real-life applications.

Prof. Dr. Jonatan Lerga
Prof. Dr. Ljubisa Stankovic
Prof. Dr. Nicoletta Saulig
Prof. Dr. Cornel Ioana
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. Mathematics 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 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.