Kandylas, V; Upham, SP; Ungar, LH Finding cohesive clusters for analyzing knowledge communities ICDM 2007: PROCEEDINGS OF THE SEVENTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING 203-212, 2007

[Eugene Garfield]

Email address: kandylas at seas.upenn.edu

Author(s): Kandylas, V (Kandylas, Vasileios); Upham, SP (Upham, S. 
Phineas); Ungar, LH (Ungar, Lyle H.)
 
Title: Finding cohesive clusters for analyzing knowledge communities 

Editor(s): Ramakrishnan, N; Zaiane, OR; Shi, Y; Clifton, CW; Wu, XD 

Source: ICDM 2007: PROCEEDINGS OF THE SEVENTH IEEE INTERNATIONAL 
CONFERENCE ON DATA MINING 203-212, 2007 

Book Series: IEEE International Conference on Data Mining 

Language: English 

Document Type: Article 

Conference Title: 7th IEEE International Conference on Data Mining 

Conference Date: OCT 28-31, 2007 

Conference Location: Omaha, NE 

Conference Sponsors: IEEE, Microsoft adCenter Labs, Univ Nebraska Med Ctr, 
Univ Nebraska Omaha, Thomson, Web Splashes, In The Details Events, IBM, 
IEEE Comp Soc, Henry Doorly Zoo, Mutual Omaha, CAS Res Ctr Fictitious Econ 
& Data Sci, First Natl Bank Omaha, Peter Kiewit Inst 

KeyWords Plus: SCIENCE 

Abstract: Documents and authors can be clustered into "knowledge 
communities" based on the overlap in the papers they cite. We introduce a 
new clustering algorithm, Streemer which finds cohesive foreground 
clusters embedded in a diffuse background, and use it to identify 
knowledge communities as foreground clusters of papers which share common 
citations. To analyze the evolution of these communities over time, we 
build predictive models with features based on the citation structure, the 
vocabulary of the papers, and the affiliations and prestige of the 
authors. Findings include that scientific knowledge communities tend to 
grow more rapidly if their publications build on diverse information and 
if they use a narrow vocabulary. 

Addresses: Univ Penn, CIS Dept, Philadelphia, PA 19104 USA. 

Reprint Address: Kandylas, V, Univ Penn, CIS Dept, Philadelphia, PA 19104 
USA. 

Cited Reference Count: 26 

Publisher Name: IEEE COMPUTER SOC 

Publisher Address: 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, 
CA 90720-1264 USA 

ISSN: 1550-4786 

ISBN: 978-0-7695-3018-5 

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