Title: Citation content/context data as a source for research cooperation analysis

Authors: Sergey Parinov; Victoria Antonova

Addresses: Russian Presidential Academy of National Economy and Public Administration (RANEPA), Russia; Central Economics and Mathematics Institute of RAS (CEMI RAS), Moscow, Russia ' National Research University Higher School of Economics (HSE), Moscow, Russia

Abstract: Using citation relationships, one can build three groups of papers: (1) the papers of a selected author; (2) those papers cited by the author; (3) papers citing the author. Authors of papers from these three groups can be presented as a fragment of a research cooperation network, because they use/cite research outputs of each other. Their papers' full texts and especially the contexts of their in-text citations contain some information about the character of this research cooperation. We present a concept of research cooperation, based on publications and the current results of the Cirtec project for building the research cooperation characteristics. This work is based on the processing of citation content/context data. The results include an on-line service for authors to monitor the citation content data extractions and three types of built indicators/parameters: co-citation statistics, spatial distribution of citations over papers' body and topic models for citation contexts.

Keywords: citation content/context; Cirtec project; research cooperation; scientific knowledge transformation; RePEc; Socionet.

DOI: 10.1504/IJMSO.2020.108336

International Journal of Metadata, Semantics and Ontologies, 2020 Vol.14 No.2, pp.149 - 157

Received: 08 Oct 2019
Accepted: 19 Mar 2020

Published online: 02 Jul 2020 *

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