Journal clustering through interlocking editorship information

Authors:
Chaoqun Ni;Ying Ding
Affiliations:
University Bloomington, Bloomington, IN;University Bloomington, Bloomington, IN
Venue:
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Year:
2010

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Abstract

This paper is an exploration of mapping journals in library and information science (LIS) through interlocking editorship information. Forty-eight LIS journals are clustered into four clusters. Possible reasons for some boundary-spanning journals and ten journals uninvolved in interlocking editorship are given. Results suggest that interlocking editorship information is useful for clustering journals in LIS, and additional suggestions regarding LIS journal re-categorization are proposed.