NDLI: Investigating the effect of global data on topic detection

Content Provider	Springer Nature Link
Author	Boyack, Kevin W.
Copyright Year	2017
Abstract	A dataset containing 111,616 documents in astronomy and astrophysics (Astro-set) has been created and is being partitioned by several research groups using different algorithms. For this paper, rather than partitioning the dataset directly, we locate the data in a previously created model of the full Scopus database. This allows comparisons between using local and global data for community detection, which is done in an accompanying paper. We can begin to answer the question of the extent to which the rest of a large database (a global solution) affects the partitioning of a smaller journal-based set of documents (a local solution). We find that the Astro-set, while spread across hundreds of partitions in the Scopus map, is concentrated in only a few regions of the map. From this perspective there seems to be some correspondence between local information and the global cluster solution. However, we also show that the within-Astro-set links are only one-third of the total links that are available to these papers in the full Scopus database. The non-Astro-set links are significant in two ways: (1) in areas where the Astro-set papers are concentrated, related papers from non-astronomy journals are included in clusters with the Astro-set papers, and (2) Astro-set papers that have a very low fraction of within-set links tend to end up in clusters that are not astronomy-based. Overall, this work highlights limitations of the use of journal-based document sets to identify the structure of scientific fields.
Starting Page	999
Ending Page	1015
Page Count	17
File Format	PDF
ISSN	01389130
Journal	Scientometrics
Volume Number	111
Issue Number	2
e-ISSN	15882861
Language	English
Publisher	Springer Netherlands
Publisher Date	2017-02-27
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Global data Direct citation Clustering Cluster characterization Information Storage and Retrieval Library Science
Content Type	Text
Resource Type	Article
Subject	Library and Information Sciences Computer Science Applications

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

Mapping the cognitive structure of astrophysics by infomap clustering of the citation network and topic affinity analysis

Knowledge-transfer analysis based on co-citation clustering

Citation-based clustering of publications using CitNetExplorer and VOSviewer

Literature retrieval based on citation context

Tracking modularity in citation networks

Prediction of emerging technologies based on analysis of the US patent citation network

Mining citation information from CiteSeer data

Co-citation, bibliographic coupling and a characterization of lattice citation networks

A comparison of citation distributions of journals and books on the topic “information society”

Investigating the effect of global data on topic detection

Similar Documents

Mapping the cognitive structure of astrophysics by infomap clustering of the citation network and topic affinity analysis

Knowledge-transfer analysis based on co-citation clustering

Citation-based clustering of publications using CitNetExplorer and VOSviewer

Literature retrieval based on citation context

Tracking modularity in citation networks

Prediction of emerging technologies based on analysis of the US patent citation network

Mining citation information from CiteSeer data

Co-citation, bibliographic coupling and a characterization of lattice citation networks

A comparison of citation distributions of journals and books on the topic “information society”

Investigating the effect of global data on topic detection