DLIRSOC-PHOct 24, 2012

A measure of similarity between scientific journals and of diversity of a list of publications

arXiv:1210.6510v12 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for a measure of interdisciplinary collaboration in scientific research, but it appears incremental as it builds on previous studies with a specific two-step method.

The paper tackles the problem of quantifying scientific diversity and interdisciplinary collaboration by proposing a two-step approach: first defining similarity between journals, then using these similarities to characterize the homogeneity or diversity of a publication list for individuals or teams.

The aim of this note is to propose a definition of the scientific diversity and corollarly, a measure of the "interdisciplinarity" of collaborations. With respect to previous studies, the proposed approach consists of 2 steps : first, the definition of similarity between journals and second, these similarities are used to characterize the homogeneity (or, on the contrary the diversity) of a publication list (that can be for one individual or a team).

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The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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