MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks

Large networks with labeled nodes are prevalent in various applications, such as biological graphs, social networks, and e-commerce graphs. To extract insight from this rich information source, we propose MC-Explorer, which is an advanced analysis and visualization system. A highlight of MC-Explorer...

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Bibliographic Details
Main Authors: Li, Boxuan, Cheng, Reynold, Hu, Jiafeng, Fang, Yixiang, Ou, Min, Luo, Ruibang, Chang, Kevin Chen-Chuan, Lin, Xuemin
Format: Conference Proceeding
Language:English
Subjects:
Breast cancer
Data analysis
Drugs
Obesity
Online Access:Request full text
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Summary:Large networks with labeled nodes are prevalent in various applications, such as biological graphs, social networks, and e-commerce graphs. To extract insight from this rich information source, we propose MC-Explorer, which is an advanced analysis and visualization system. A highlight of MC-Explorer is its ability to discover motif-cliques from a graph with labeled nodes. A motif, such as a 3-node triangle, is a fundamental building block of a graph. A motif-clique is a "complete" subgraph in a network with respect to a desired higher-order connection pattern. For example, on a large biological graph, we found out some motif-cliques, which disclose new side effects of a drug, and potential drugs for healing diseases. MC-Explorer includes online and interactive facilities for exploring a large labeled network through the use of motif-cliques. We will demonstrate how MC-Explorer can facilitate the analysis and visualization of a labeled biological network.An online demo video of MC-Explorer can be accessed from https://www.dropbox.com/s/vkalumc28wqp8yl/demo.mov
ISSN:2375-026X
DOI:10.1109/ICDE48307.2020.00154