Contactless sociology
New Forms of Research in a Digital Age
Bibliographic Data
| ID | 7103747 |
|---|---|
| Authors | Olga Kryshtanovskaya (0000-0001-5278-0940, State University of Management, corresponding author) |
| Year | 2018 |
| Issue | 1 |
| Pages | 4-8 |
| Publication date | 2018-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Digital sociology (JOURNAL) |
| Journal identifiers | ISSN: 2658-347X • E-ISSN: 2713-1653 |
| Publisher | State University of Management (PUBLISHER) |
| DOI | 10.26425/2658-347x-2018-1-4-8 |
| OpenAlex | W2904599043 |
| Language | EN |
| Citations received | 8 |
Nowadays, digital sociology is becoming a reality. Online surveys, polls without the participation of the respondents based on the analysis of activities in social networks give the sociologist a unique opportunity to conduct a “contactless” research in which the respondent doesn’t know about the interest of the scientist to him. The networks already have all the answers, and the sociologist needs to find the right filters to extract the necessary information from the stream to subject it to intellectual analysis. The results of the political elite studies with the use of network and cluster analysis aimed at studying the activity and behavior of the Russian government official representatives in social networks have been described in the article. The analysis results identified four main clusters: “irreconcilable elite”, “negotiating elite”, “irreconcilable opposition”, “negotiating opposition” and the leaders of each cluster. The silence and closeness of the highest level of the Russian government as a certain political tradition are noted
Cognitive science · Epistemology · Sociology · Contemporary Sociological Theory and Practice · Philosophy · Psychology
Digital sociology as a branch of sociological knowledge
Digital sociology as a response to the challenges of societal digital transformation
Contemporary digital sociology in search of meaning-making models
The use of big data in interdisciplinary research on example of the Greater Mediterranean macroregion
Global trends in digital transformation and media positioning of universities in social networks
Using machine learning to study the population life quality
Comparative analysis of the Russian regions using machine learning methods for a set of indicators of electronic services
Web Scraping as a Method of Data Extraction in Sociological Studies
| Citations per year | 1.33 |
|---|---|
| Citation span | 2020 - 2026 (7) |
| Highly cited | No |