NDLI: Analyzing knowledge communities using foreground and background clusters

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ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 11

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 10

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 9

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 8

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 7

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 6

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 5

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 4

Issue 4, October 2010

Issue 3, October 2010

Issue 2, May 2010

CSNL: A cost-sensitive non-linear decision tree algorithm

Analyzing knowledge communities using foreground and background clusters

A shared-subspace learning framework for multi-label classification

Data mining for discrimination discovery

Issue 1, January 2010

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 3

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 2

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 1

Analyzing knowledge communities using foreground and background clusters

Content Provider	ACM Digital Library
Author	Kandylas, Vasileios Upham, S. Phineas Ungar, Lyle H.
Copyright Year	2010
Abstract	Insight into the growth (or shrinkage) of “knowledge communities” of authors that build on each other's work can be gained by studying the evolution over time of clusters of documents. We cluster documents based on the documents they cite in common using the Streemer clustering method, which finds cohesive foreground clusters (the knowledge communities) embedded in a diffuse background. We build predictive models with features based on the citation structure, the vocabulary of the papers, and the affiliations and prestige of the authors and use these models to study the drivers of community growth and the predictors of how widely a paper will be cited. We find that scientific knowledge communities tend to grow more rapidly if their publications build on diverse information and use narrow vocabulary and that papers that lie on the periphery of a community have the highest impact, while those not in any community have the lowest impact.
Starting Page	1
Ending Page	35
Page Count	35
File Format	PDF
ISSN	15564681
e-ISSN	1556472X
DOI	10.1145/1754428.1754430
Volume Number	4
Issue Number	2
Journal	ACM Transactions on Knowledge Discovery from Data (TKDD)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-05-28
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Text mining Citation analysis Clustering Community evolution Knowledge communities
Content Type	Text
Resource Type	Article
Subject	Computer Science

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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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

Finding Cohesive Clusters for Analyzing Knowledge Communities

Analyzing knowledge communities using foreground and.

Generalization of clustering agreements and distances for overlapping clusters and network communities

Analyzing communities and their evolutions in dynamic social networks

Knowledge-transfer analysis based on co-citation clustering

Evolution monitoring for innovation sources using patent cluster analysis

Citation-based clustering of publications using CitNetExplorer and VOSviewer

Text line extraction in graphical documents using background and foreground information

Text clustering using VSM with feature clusters

Analyzing knowledge communities using foreground and background clusters

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Finding Cohesive Clusters for Analyzing Knowledge Communities

Analyzing knowledge communities using foreground and.

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