Title: Formation of subject area and the co-authors network by sounding of Google Scholar Citations service
ArXiv ID: 1605.02215
Date: 2016-05-10
Authors: D.V. Lande, V.B. Andrushchenko
📝 Abstract
The suggested methodic is the way of formatting the subject areas models and co-authors networks by sounding the content networks. The paper represents the notion networks which match tags and authors of Google Scholar Citations service. Models depicted in the work were built for the physical optics area, and it can be applied for other domains. The proposed ways of defining connections between science areas and authors depicts the collaborations opportunities and versatility of interdisciplinary.
💡 Deep Analysis
📄 Full Content
1
УДК 004.622:004.822
Formation of subject area and the co-authors network by sounding of Google Scholar Citations service
The suggested methodic is the way of formatting the subject areas models and
co-authors networks by sounding the content networks. The paper represents the notion
networks which match tags and authors of Google Scholar Citations service. Models
depicted in the work were built for the physical optics area, and it can be applied for other
domains. The proposed ways of defining connections between science areas and authors
depicts the collaborations opportunities and versatility of interdisciplinary.
Keywords: subject domain, co-authorship network, legal science, sensing of a network,
information network, physical optics, text mining
Today science and technique progress depends heavily on the way scientists can establish the
right cooperation process and create the successful collaboration. And activity in every science
field assumes not only experiments and their depiction in scholar papers, but the repercussion of
scientific results. And first of all - the way the paper is cited, when, whom and in what way. The
information scientometric databases allow researchers trace their activity and fix their
achievements, and this data is actual not only for the scientific image but for the way of
promoting their research all over the world and even for career.
New information resources give new opportunities for describing the subject areas and studying
the consistent pattern of the scientific intercommunications. One of the main instruments of investigating the regularity of scientific cooperation - is the
co-authorship network forming by scientometrics services [2].
Co-authorship network permits to:
obtain scientometric indexes;
find experts to solve complex problems;
define the participants for the expertise procedure;
search out colleagues for the collaboration formation;
discover interconnections between scholars for further scientometric analysis;
provide the estimations for the grant effectiveness and the performance of research
institution;
etc.
There are some major services of scientific information, which give an opportunity to get the
scientometric data, create users profiles and can also contain bibliographic information, these
databases are Web of Science and Scopus. But the access to the resources of these services is
paid and it complicates the work with them.
2
One of the main services with the free access is Google Scholar, which allows creation of profile
containing information about all the published materials of the researcher, and also has the
powerful search engine.
Authors experienced the approach to form the subject domain model and create the co-authors
network (‘text mining’ [3] ‘legal science’ [5], ‘physical optics’) by sounding big information
network and creating the notion network, matching with tags of sceintometric service Google
Scholar Citations (http://scholar.google.com/citations
) [3], [4].
The interface of the Google Scholar Citations gives the authors lists and the complemented tags
(notions and concepts), which are corresponded with the preassigned tag.
The work also presents the algorithm of co-authors network formation - the model of researchers
cooperation by sounding mentioned scientometric network.
The proposed sequence of operations according to the algorithm [1]::
1.
The short list of the base tags, defined in an expert way.
2.
One tag is chosen from the list.
3.
The performed search represents the web-page corresponding with the chosen tag.
4.
The neighboring tags, comprised in the page, are added to the forming network.
5.
From the neighboring tags are choses the ones, pages of which are planned to be
proceed for the further analysis. This tag is the one with the highest rate, which responds
the theme of the chosen subject area, and the transition to which hasn’t been executed.
6.
If such a tag been chosen the jump to the step 3 is to be provided.
7.
If there is no such a tag, and the list of base tags is not fulfilled, then the segue to the
next base tag from the initial tag list is provided (Step2). Otherwise the network is
considered to be built. The described algorithm was complemented by the rule, which reads that the Steps 3-6 were
provided so many times as expert set. In example with the ‘physical optics’ tag it makes up 5.
Picture 1 shows the example of the subject area notion network, built according to the algorithm on
base tags. Picture 2 - the enlarged part of the network.
Picture. 1. The structure of the network according to the base tag
3
By scanning the Google Scholar Citations there was obtained the network with such parameters:
