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Regular version of the site

ANR-Lab Summer School "Bibliometric Network Analysis"

Event ended

On August 2-5, the International Laboratory for Applied Network Research will host a summer school on the analysis of bibliometric networks, where the deputy head of the laboratory, Daria Maltseva, will talk about the features of bibliometric data, teach how to collect such data, convert them into network data and analyze using network analysis methods.


Teacher: Daria Maltseva, Ph.D. social Sci., International Laboratory for Applied Network Research, National Research University Higher School of Economics, Moscow.

Bibliometric networks refer to different types of relationships between publications and their authors, highlighting the underlying models of collaboration between scientists and "communication" between their works (co-authorship, socializing, citation). Data for such networks can be obtained from specialized bibliographic services (Web of Science, Scopus, SICRIS, CiteSeer, Zentralblatt MATH, Google Scholar, etc.). In addition to the names of authors and the titles of their works, the researcher can get more detailed information: for authors - organization, country, first and last by the date of publication of the work, for works - publishing house, magazine, editors, issue and issue, pages, keywords, date of submission, language, classifier codes. Using different network transformation procedures, we can build different types of unimodal and bimodal networks and study the relationships between several bibliometric entities represented in the database (works, authors, journals, keywords, organizations, countries, etc.).

At the seminar, we will discuss various sources of bibliographic data, collection tools, and problems that may arise during their processing; we will learn how to collect our data and transform it into a set of unimodal and bimodal networks available for subsequent analysis: citation and citation networks between works and journals, collaborations between authors and co-presence of keywords. The basics of network analysis and working in the Pajek program will be specially discussed at the beginning of the seminar.

Audience: Representatives of the social sciences interested in applying the methods of bibliometric analysis in their research are invited to participate in the seminar. Experience in quantitative research and statistical analysis is desirable but not required. The seminar will provide an opportunity to learn about the basic basics of network analysis, so the presence of special knowledge in this area is also not required.

Language: Russian

Required hardware: Computer class or personal computers with Pajek installed, WoS2Pajek (requires preinstalled Python 2.7), TextPad (or an alternative for working with .txt files), Inkscape (or an alternative for viewing .svg files), access to a Web database of Science.

Summer School Programme (in Russian)