Andrushchenko V. Information technologies of scientometric analysis based on monitoring of the Internet recourses

The thesis is devoted to the review and analysis of scientific information resources, the study of the possibilities of developing additional information arrays based on existing sources of scientific and scientometric information. As part of the work, approaches to determine parameters for assessing the resources of scientific and scientometric information, methods of obtaining new data sets are proposed, which will optimize the time of working with the information and attract less resources to implement work on finding scientific and scientometric information and its subsequent processing. The paper presents and implements algorithms for building a network of co-authors and subject areas based on the Google Scholar Citations resource. The ways of approving algorithms with appropriate visualization are also represented. Based on the open-access encyclopedic resource Wikipedia, a new index has been described for determining the visibility and quoting of the author (researcher), as well as an algorithm for constructing of ontology according to the indicated concept. The possibility of implementing the technology for the concept - definition, as well as the proper name is described. The possibilities of obtaining information through the processing of search results for a given concept within the framework of the ArXiv preprint resource are presented. The obtained results determine the full range of inherent in the concept defined for the search for subject areas and also the list of industries for which the concept is the most used is defined. The importance of information arrays, which are formed on the basis of resources and contain bibliometric and scientometric information, and can act as parameters that are able to influence the decision making and expand the range of possible cooperation of researchers, the formation of unique scientific collaborations.