Zhou, D; Orshanskiy, SA; Zha, HY; Giles, CL Co-ranking authors and documents in a heterogeneous network ICDM 2007: PROCEEDINGS OF THE SEVENTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING 739-744, 2007

[Eugene Garfield]

URL: http://clgiles.ist.psu.edu/papers/ICDM2007-corank-hetero-
networks_long.pdf

Email Address:dzhou at cse.psu.edu

Author(s): Zhou, D (Zhou, Ding); Orshanskiy, SA (Orshanskiy, Sergey A.); 
Zha, HY (Zha, Hongyuan); Giles, CL (Giles, C. Lee) 

Title: Co-ranking authors and documents in a heterogeneous network 

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 739-744, 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: IMPACT 

Abstract: Recent graph-theoretic approaches have demonstrated remarkable 
successes for ranking networked entities, but most of their applications 
are limited to homogeneous networks such as the network of citations 
between publications. This paper proposes a novel method for co-ranking 
authors and their publications using several networks: the social network 
connecting the authors, the citation network connecting the publications, 
as well as the authorship network that ties the previous two together The 
new co-ranking framework is based on coupling two random walks, that 
separately rank authors and documents following the PageRank paradigm. As 
a result, improved rankings of documents and their authors depend on each 
other in a mutually reinforcing way, thus taking advantage of the 
additional information implicit in the heterogeneous network of authors 
and documents. 

Addresses: Penn State Univ, Dept Math, University Pk, PA 16802 USA. 

Reprint Address: Zhou, D, Penn State Univ, Dept Math, University Pk, PA 
16802 USA. 

Cited Reference Count: 10 

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 

29-char Source Abbrev.: IEEE DATA MINING 

Source Item Page Count: 6 

ISI Document Delivery No.: BHI56 

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