DocumentCode
3166791
Title
Exploration of Link Structure and Community-Based Node Roles in Network Analysis
Author
Scripps, Jerry ; Tan, Pang-Ning ; Esfahanian, Abdol-Hossein
Author_Institution
Michigan State Univ., East Lansing
fYear
2007
fDate
28-31 Oct. 2007
Firstpage
649
Lastpage
654
Abstract
Communities are nodes in a network that are grouped together based on a common set of properties. While the communities and link structures are often thought to be in alignment, it may not be the case when the communities are defined using other external criterion. In this paper we provide a new way to measure the alignment. We also provide a new metric that can be used to estimate the number of communities to which a node is attached. This metric, along with degree, is used to assign a community-based role to nodes. We demonstrate the usefulness of the community-based node roles by applying them to the influence maximization problem.
Keywords
telecommunication links; telecommunication networks; community-based node roles; link structure exploration; maximization problem; network analysis; Communities; Computer networks; Computer science; Data analysis; Data engineering; Data mining; Q measurement; Social network services; Statistics; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining, 2007. ICDM 2007. Seventh IEEE International Conference on
Conference_Location
Omaha, NE
ISSN
1550-4786
Print_ISBN
978-0-7695-3018-5
Type
conf
DOI
10.1109/ICDM.2007.37
Filename
4470305
Link To Document