How to normalize cooccurrence data? An analysis of some well-known similarity measures

van Eck, Nees Jan; Waltman, Ludo

doi:10.1002/asi.21075

Record: found
Abstract: not found
Article: not found

How to normalize cooccurrence data? An analysis of some well-known similarity measures

Author(s): Nees Jan van Eck , Ludo Waltman

Publication date Created: August 2009

Publication date (Print): August 2009

Journal: Journal of the American Society for Information Science and Technology

Publisher: Wiley-Blackwell

Read this article at

ScienceOpenPublisher

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Author and article information

Journal

Journal ID (publisher-id): ASI

Title: Journal of the American Society for Information Science and Technology

Abbreviated Title: J. Am. Soc. Inf. Sci.

Publisher: Wiley-Blackwell

ISSN (Print): 15322882

ISSN (Electronic): 15322890

Publication date Created: August 2009

Publication date (Print): August 2009

Volume: 60

Issue: 8

Pages: 1635-1651

Article

DOI: 10.1002/asi.21075

SO-VID: 4e60ef85-4725-4c92-bad3-be626137520d

History

Data availability:

Comments

Comment on this article

scite_

Cited by 173

See all cited by

How to normalize cooccurrence data? An analysis of some well-known similarity measures

Read this article at

Related collections

Software for SAXS correction and analysis

Author and article information

Journal

Article

History

Comments

Comment on this article

Similar content 4,732

Cited by 173