Graph Based Methods for Visual Analysis of Large Scale Datasets

This Special Issue of Informatics welcomes submissions on the topic of “Graph-Based Methods for Visual Analysis of Large Scale Datasets”. Nowadays, networks or graphs are commonly used for data analysis. This enthusiasm is mostly due to the fact that graphs ease the analysis of relationships between entities. These relationships may be automatically computed by thresholding the so-called correlation matrix. Furthermore, these relations may evolve, leading to dynamic graphs or time stamped graphs. Graph analysis methods are, thus, good candidates to tackle the problem of heterogeneous data analysis, as well as the problem of dynamic data analysis. Applying graph-based visual analysis to a large-scale dataset is a challenge. First, the underlying graph is often too large to fit into memory and thus it must be distributed across several computers. That raises several problems of computational scalability of existing methods. Secondly, networks are too large compare to the resolution of existing screens and to the capability of the human perception system. This raises several problems regarding the perceptual scalability of existing methods.

This Special Issue aims at providing insight on the latest research advances in this field. We therefore encourage authors to submit their original articles that present novel techniques, evaluation of existing methods, innovative software solution, as well as reviews/surveys on any of the following topics (but is not limited to):

• Graph visualization
• Graph drawing
• Graph mining
• Dynamic graph
• Multiplex, multilayer graph
• Multiscale visualization
• Interactive exploration
• Perceptual/computational scalability
• Cooperative work
• User evaluation
• Software and toolkit
• Visual analytics
• Graph sampling
• Heuristic method

Suggested applications for papers include:

• Social networks
• Smart cites
• Healthcare, bio-medical
• Biology
• Environmental science
• Web Analytics
• Cybersecurity
• Machine learning models
• Geography

Dr. David Auber
Dr. Bourqui Romain
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. Informatics is an international peer-reviewed open access quarterly 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.

• Graph mining                    
• Evaluation studies
• Scalability
• Handling and visualization of Big Data
• Data management and mining
• Data abstraction and sampling
• Graph drawing
• Interactive visualization
• Visual analytics