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Patterns of Connections and Movements in Dual-Map Overlays: A New Method of Publication Portfolio Analysis
Journal article   Open access

Patterns of Connections and Movements in Dual-Map Overlays: A New Method of Publication Portfolio Analysis

Chaomei Chen and Loet Leydesdorff
Journal of the Association for Information Science and Technology, v 65(2), pp 334-351
01 Feb 2014
url
https://doi.org/10.1002/asi.22968View
Published, Version of Record (VoR)Open Access (License Unspecified) Open

Abstract

Computer Science, Information Systems Information Science & Library Science Science & Technology Computer Science Technology
Portfolio analysis of the publication profile of a unit of interest, ranging from individuals and organizations to a scientific field or interdisciplinary programs, aims to inform analysts and decision makers about the position of the unit, where it has been, and where it may go in a complex adaptive environment. A portfolio analysis may aim to identify the gap between the current position of an organization and a goal that it intends to achieve or identify competencies of multiple institutions. We introduce a new visual analytic method for analyzing, comparing, and contrasting characteristics of publication portfolios. The new method introduces a novel design of dual-map thematic overlays on global maps of science. Each publication portfolio can be added as one layer of dual-map overlays over 2 related, but distinct, global maps of science: one for citing journals and the other for cited journals. We demonstrate how the new design facilitates a portfolio analysis in terms of patterns emerging from the distributions of citation threads and the dynamics of trajectories as a function of space and time. We first demonstrate the analysis of portfolios defined on a single source article. Then we contrast publication portfolios of multiple comparable units of interest; namely, colleges in universities and corporate research organizations. We also include examples of overlays of scientific fields. We expect that our method will provide new insights to portfolio analysis.

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Domestic collaboration
International collaboration
Web of Science research areas
Computer Science, Information Systems
Information Science & Library Science
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