Balagura I. Technology of co-author networks scientometric analysis using the extracting terms from abstracts database

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0415U005233

Applicant for

Specialization

  • 10.02.21 - Структурна, прикладна та математична лінгвістика

09-07-2015

Specialized Academic Board

Д 26.165.02

Essay

The dissertation deals with the investigation of co-authors and co-words networks appliance for scientometric analysis of the Ukrainika naukova abstract database. Using of computer linguistics methods in order to fulfill scientometric investigation of the abstract database was proposed. Innovative methods for estimating the level of inter-scientists cooperation were developed. Methods based on the improved centrality index and average "rich-club" coefficient were used for science group detecting and co-word network building. Proposed methods allow estimating of "weight" coefficient of authors with equal co-author ties. It is shown that the construction of networks of terms based on scientific papers in the area of the most active and cooperative scientists allows determining associative relations as well as entry relations for developing ontology research directions.

Files

Similar theses