Analysis of Japanese Information Systems Co-authorship Data

I
IV
2007
11th International Conference Information Visualization (IV '07)
Abstract - Analysis of Japanese Information Systems Co-authorship Data

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11th International Conference Information Visualization (IV '07)

Zurich, Switzerland

July 04-July 06

ISBN: 0-7695-2900-3

	ASCII Text	x
	Gavin LaRowe, Ryutaro Ichise, Katy Borner, "Analysis of Japanese Information Systems Co-authorship Data," Information Visualisation, International Conference on, pp. 459-464, 11th International Conference Information Visualization (IV '07), 2007.

	BibTex	x
	@article{ 10.1109/IV.2007.26, author = {Gavin LaRowe and Ryutaro Ichise and Katy Borner}, title = {Analysis of Japanese Information Systems Co-authorship Data}, journal ={Information Visualisation, International Conference on}, volume = {0}, year = {2007}, issn = {1550-6037}, pages = {459-464}, doi = {http://doi.ieeecomputersociety.org/10.1109/IV.2007.26}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Information Visualisation, International Conference on TI - Analysis of Japanese Information Systems Co-authorship Data SN - 1550-6037 SP459 EP464 A1 - Gavin LaRowe, A1 - Ryutaro Ichise, A1 - Katy Borner, PY - 2007 KW - null VL - 0 JA - Information Visualisation, International Conference on ER -

Gavin LaRowe, Indiana University

Ryutaro Ichise, National Institute of Informatics Tokyo, Japan

Katy Borner, Indiana University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IV.2007.26

This paper reports a bibliometric analysis of evolving co-author networks. Using 5,009 articles covering the years 1993 to 2005 from Transactions D. (Information Systems) of the Institute of Electronics Information and Communication Engineers (IEICE), we attempt to compare the network characteristics for each year, the co-author network characteristics for the entire time span, and the four major components of the entire data set. Finally, we analyze each of these in contrast to extant co-authorship network data and find that the pattern of co-authorship within Information Systems does not change significantly over this time period.

Citation:

Gavin LaRowe, Ryutaro Ichise, Katy Borner, "Analysis of Japanese Information Systems Co-authorship Data," iv, pp.459-464, 11th International Conference Information Visualization (IV '07), 2007

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