Software for graph analysis and visualization
M. I. Kolomeychenkoa, A. A. Zolotyhb, I. V. Polyakova, A. M. Chepovskiya
a National Research University Higher School of Economics,
Myasnitskaya str., 20, Moscow, 101000, Russia
b Moscow State University of Printing Arts, Pryanishnikova str., 20, Moscow, 127550, Russia
This paper describes the software for graph storage, analysis and visualization. The article presents a comparative analysis of existing software for analysis and visualization of graphs, describes the overall architecture of application and basic principles of construction and operation of the main modules. Furthermore, a description of the developed graph storage oriented to storage and processing of large-scale graphs is presented. The developed algorithm for finding communities and implemented algorithms of autolayouts of graphs are the main functionality of the product. The main advantage of the developed software is high speed processing of large size networks (up to millions of nodes and links). Moreover, the proposed graph storage architecture is unique and has no analogues. The developed approaches and algorithms are optimized for operating with big graphs and have high productivity.
graph, graph analysis, graph visualization, graph storage, software.
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M. I. Kolomeychenko, A. A. Zolotyh, I. V. Polyakov, A. M. Chepovskiy, “Software for graph analysis and visualization”, Model. Anal. Inform. Sist., 21:6 (2014), 155–168
Citation in format AMSBIB
\by M.~I.~Kolomeychenko, A.~A.~Zolotyh, I.~V.~Polyakov, A.~M.~Chepovskiy
\paper Software for graph analysis and visualization
\jour Model. Anal. Inform. Sist.
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