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Journal clustering through interlocking editorship information

Chaoqun Ni and Ying Ding

(Submission #202)


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.


Program Track:  Track 4 - Information and Knowledge Management
Submission Type:  Research Paper

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