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E-Ciencias de la Información

On-line version ISSN 1659-4142

Abstract

GORBEA PORTAL, Salvador  and  BATISTA PANEQUE, Dania. Identification of patterns of informative behavior in the texts with the Social Networks Analysis. E-Ciencias de la Información [online]. 2018, vol.8, n.1, pp.7-31. ISSN 1659-4142.  http://dx.doi.org/10.15517/eci.v8i1.28005.

This paper reports the results of research aimed at identifying patterns of significant knowledge contained in the documentation of thirteen Mexican companies submitted for the purpose of the Organizational Environment evaluation of “Super Companies”, a ranking issued exclusively by the consulting firm Top Companies®. Maps of company relationships and the attributes of the selected variables are developed on the basis of the quantitative processing of six variables and indicators, and an analysis of social networks. The sources and the methodology employed reveal patterns of informational behavior in the specialized documentation that can serve to support decision making with regard to the evaluation and preparation of the rankings issued by the specialized consultants.

Keywords : Social networks analysis; Pajek; Analysis of texts; Informetrics; Organizational environment of companies.

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