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- Publisher Website: 10.1109/ICDE48307.2020.00154
- Scopus: eid_2-s2.0-85085859100
- WOS: WOS:000584252700147
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Conference Paper: MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks
| Title | MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks |
|---|---|
| Authors | |
| Issue Date | 2020 |
| Publisher | IEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000178 |
| Citation | IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX, USA, 20-24 April 2020, p. 1722-1725 How to Cite? |
| Abstract | Abstract— 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 MCExplorer 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 |
| Persistent Identifier | http://hdl.handle.net/10722/284138 |
| ISSN | 2020 SCImago Journal Rankings: 0.436 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Li, B | - |
| dc.contributor.author | Cheng, CKR | - |
| dc.contributor.author | Hu, J | - |
| dc.contributor.author | Fang, Y | - |
| dc.contributor.author | Ou, M | - |
| dc.contributor.author | Luo, R | - |
| dc.contributor.author | Chang, CCK | - |
| dc.contributor.author | Lin, XUEMIN | - |
| dc.date.accessioned | 2020-07-20T05:56:23Z | - |
| dc.date.available | 2020-07-20T05:56:23Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.citation | IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX, USA, 20-24 April 2020, p. 1722-1725 | - |
| dc.identifier.issn | 1084-4627 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/284138 | - |
| dc.description.abstract | Abstract— 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 MCExplorer 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 | - |
| dc.language | eng | - |
| dc.publisher | IEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000178 | - |
| dc.relation.ispartof | International Conference on Data Engineering. Proceedings | - |
| dc.rights | International Conference on Data Engineering. Proceedings. Copyright © IEEE Computer Society. | - |
| dc.rights | ©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
| dc.title | MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks | - |
| dc.type | Conference_Paper | - |
| dc.identifier.email | Cheng, CKR: ckcheng@cs.hku.hk | - |
| dc.identifier.email | Luo, R: rbluo@cs.hku.hk | - |
| dc.identifier.authority | Cheng, CKR=rp00074 | - |
| dc.identifier.authority | Luo, R=rp02360 | - |
| dc.identifier.doi | 10.1109/ICDE48307.2020.00154 | - |
| dc.identifier.scopus | eid_2-s2.0-85085859100 | - |
| dc.identifier.hkuros | 310899 | - |
| dc.identifier.spage | 1722 | - |
| dc.identifier.epage | 1725 | - |
| dc.identifier.isi | WOS:000584252700147 | - |
| dc.publisher.place | United States | - |
| dc.identifier.issnl | 1084-4627 | - |