NDLI: Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis

Content Provider	IEEE Xplore Digital Library
Author	Xinhai Liu Shi Yu Moreau, Y. Janssens, F. De Moor, B. Glanzel, W.
Copyright Year	2009
Abstract	We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louvain method. We introduce two different approaches, graph coupling and graph fusion. The weights of these combined graphs are optimized with the criterion of maximizing the Average Normalized Mutual Information(ANMI). The methods are applied to obtain structural mapping of large scale Web of Science (WoS) journal database by integrating attribute based textual information and relation based citation information. From the experimental, the proposed graph combination scheme is compared with individual graph clustering, spectral clustering and Vector Space Model(VSM) based clustering methods.
Starting Page	521
Ending Page	526
File Size	4546737
Page Count	6
File Format	PDF
ISBN	9781424453849
DOI	10.1109/ICDMW.2009.65
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data analysis Databases Conferences Space technology Citation analysis Statistical distributions Data mining Distributed algorithms Detection algorithms Monitoring
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis