Goal of research
Development of methods and models for network data analysis, including large and temporal networks, and their testing in applied research projects of the Laboratory members in major interdisciplinary areas, such as sociology, political science, management and computer science.
Mathematical methods of applied network analysis constructed specially for the analysis of large and temporal networks, as well as new technological developments that allow working with data (collection, cleaning, analysis) in the most efficient way.
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 2017 and some being initiated in 2018.
As before, in 2018 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 research teams through the analyses of bibliometric data and textual information,
Sociology of media and mass behavior: the study of the information dissemination and behavior of individuals in the online environments,
Political science: the study of political processes using statistical methods,
Organizational studies: the study of formal and informal groups and collectives,
Research in the field of computer science: the use of neural networks and artificial intelligence.
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 2019. Regular discussions of the projects were held during the Lab`s Monday 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, 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 result are published in respective outlets.