Node2vec Representation for Clustering Journals and as A Possible Measure of Diversity

Volume: 4, Issue: 2, Pages: 79 - 92
Published: May 1, 2019
Abstract
Purpose To investigate the effectiveness of using node2vec on journal citation networks to represent journals as vectors for tasks such as clustering, science mapping, and journal diversity measure. Design/methodology/approach Node2vec is used in a journal citation network to generate journal vector representations. Findings 1. Journals are clustered based on the node2vec trained vectors to form a science map. 2. The norm of the vector can be...
Paper Details
Title
Node2vec Representation for Clustering Journals and as A Possible Measure of Diversity
Published Date
May 1, 2019
Volume
4
Issue
2
Pages
79 - 92
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