Goal of research
Implementation of applied and fundamental research using network analysis in the field of social sciences using traditional developments and new tools, models and methods developed in other scientific areas.
Mathematical methods of social network analysis, which due to the goals and objectives of a particular project may involve studying ego, complete, temporal, spatial, weighted, or multi–relational networks.
Empirical base of research
Data collected by the Laboratory members in their disciplinary areas – secondary data obtained from publicly available sources or scraped from web sites with laboratory’s proprietary scripts (statistics, bibliographical data, data from social networking sites), and primary data collected through mass surveys. Each research project has its own (in some cases unique) information base.
Results of research
The studies conducted by the International Laboratory`s representatives are oriented to practical application. Simultaneously, the Lab holds a number of projects in different disciplinary areas (sociology, political science, management, etc.) and thematically unrelated to each other, but unified by the implementation of common methodology of social network analysis (including its new methods developed in the Lab). In this regard, the project has resulted in the number of independent projects at different stages of implementation, with some being continued from 2018 and some being initiated in 2019.
As before, in 2019 the work on methodological developments was carried out within certain disciplinary areas. According to their research subjects, the projects can be divided into the following groups:
Sociology of science: the study of scientific disciplines through the quantitative analyses based on methods and algorithms developed in scientometrics, bibliometric, and informetrics,
Sociology of media and mass communications: the study of the information dissemination and behavior of individuals in the online environments,
Political science: the study of political processes using statistical methods,
Management and organizational studies: the study of networks in management, formal and informal groups and collectives.
In addition to tasks motivated by the subject, the projects were aimed to solving a number of methodological problems related to the construction and development of new tools, models and methods of network analysis, as well as their application and testing on various databases through the implementation of applied research.
Each project has its own research methodology, depending on the discipline. At the same time, all Laboratory projects have in common the application of a social network analysis, which, depending on the goals and objectives of a specific project, may involve the study of ego-networks or complete network structures, dynamic (temporal), spatial, signed, or multilevel networks.
The results of the project are already published in indexed international journals on social network analysis, social sciences, and computer sciences. Some articles are going to be published in 2020. According to the results of the International Summer School and special sections at EUSN and ARS conferences devoted to the analysis of networks in science, an agreement was reached on the preparation of a special issue on this topic in the “Network Science” journal (one of the key journals in the field of network analysis). Regular discussions of the projects were held during the Lab`s weekly seminars. Results of research projects were presented to an academic and business community at the conferences (including those organized with the Laboratory) abroad and in Russia. Results of the studies can be used by a number of researchers using network methodology and working in close disciplinary areas (sociology, political sciences, management, and computer science).
Level of implementation, recommendations on implementation or outcomes of the implementation of the results
The level of implementation varies among projects according to their goals. Completed projects may be implemented immediately in the spheres of sociology, political science, management and computer science as their results are published in respective outlets.