Graph Drawing and Information Visualization

Dear Colleagues,

In the past several decades, graph (or network) visualization and information visualization have massively evolved and led to many results, ranging from theoretical studies to algorithms, techniques, tools, and case studies. Graph visualization focuses on the drawing and interactive exploration of relational datasets, also called graphs or networks. Information visualization focuses on the larger goal of the depiction and visual exploration of non-spatial, abstract, hybrid, and multi-type data. Current problems in science and engineering generate large amounts of data that are multivariate, vary in time, and have both spatial and non-spatial attributes of different types. As such, while the graph drawing and information visualization communities have traditionally evolved along separate lines, there is an increasing need for researchers and practitioners to combine and share results in both areas.

The aim of this Special Issue is to further bridge the still-existing gap between the graph drawing and information visualization communities, by showing how results obtained in one of the communities can be used, adapted, or enhanced to address problems and use-cases typically emerging in the other. For this, we invite researchers and practitioners that work at the intersection of the two communities to submit their original and unpublished works to this Special Issue. Of particular interest are papers that describe techniques, methods, studies, and tools that combine interactive graph visualization and more general information visualization techniques to solve a given problem, following a visual analytics approach. Example of specific topics of interest are outlined below. However, other topics at the crossroads of graph and information visualization are of equal interest.

Prof. Dr. Alex Telea
Prof. Dr. David Auber
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 250 words) can be sent to the Editorial Office for assessment.

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. Algorithms 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 1800 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.