Directed correlation network of concepts determined by the dynamics of publications

12 Pages Posted: 30 Oct 2020 Last revised: 3 Nov 2020

See all articles by Dmitry Lande

Dmitry Lande

Institute for information Recording of NASU

Leonard Strashnoy

University of California, Los Angeles (UCLA)

Irina Balagura

affiliation not provided to SSRN

Date Written: September 8, 2020

Abstract

A technique for forming, clustering and visualizing so-called directed correlation networks is herein proposed. The links between nodes of such networks correspond to the values of cross-correlations between vectors - sets of parameters corresponding to these nodes modified in a certain way. To build network structures for each node (topic), vectors are formed - arrays of numbers corresponding to a certain time series. As an example, the article considers a time series generated by the Google Books Ngram Viewer service.

This approach, unlike the existing one, has advantages such as intuitive and realistic rules, the definition of the weight of nodes and links, a reliable mathematical basis for correlation analysis, an accounting of previously unused parameters of time series of publications corresponding to entities, allowing one to the group said entities according to their trends in time, and objectivity and relative simplicity. This technique can be based on data obtained, for example, from content monitoring systems, and can be used in analytical systems for various purposes in order to generalize a set of variables without explicit links between them.

Keywords: Cross-correlation network, publication dynamics, Google Books Ngram Viewer, visualization of network structures, cluster analysis

Suggested Citation

Lande, Dmitry and Strashnoy, Leonard and Balagura, Irina, Directed correlation network of concepts determined by the dynamics of publications (September 8, 2020). Available at SSRN: https://ssrn.com/abstract=3688659 or http://dx.doi.org/10.2139/ssrn.3688659

Dmitry Lande (Contact Author)

Institute for information Recording of NASU ( email )

Shpaka str., 2
Kyiv, 03013
Ukraine

Leonard Strashnoy

University of California, Los Angeles (UCLA) ( email )

405 Hilgard Avenue
Box 951361
Los Angeles, CA 90095
United States

Irina Balagura

affiliation not provided to SSRN

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