Metasociological analysis of features of modern sociological research in the Internet network space

The relevance of the topic of metasociological analysis of the features of modern sociological research is caused by its significant theoretical, methodological, organizational and methodological transformation, due to access to the Internet. The scientific problem of the research topic is certain difficulties that naturally arise when using traditional general scientific empirical and theoretical methods, in the process of conducting a sociological analysis of social networks on the Internet. The purpose of the study is to identify, describe and explain the features of modern sociological analysis in the Internet network space. Conclusions: 1. In contrast to the traditional and familiar typical and species sociological matrices for the analysis of objects of material and spiritual social space, the characteristic features of modern sociological analysis of objects of digital space appear literally at every stage of organizing and conducting modern concrete social. 2. Such features are most pronounced when using modern socio-network theories and methodologies, methods and technologies, a symbolic language inherent in actor-network theory and graph theory. 3. Unlike traditional visualization, modern visualization cards are no longer just a means of increasing clarity, but also a complex method of grouping and encoding (encryption) of content information, the decoding or decoding of which is carried out by scientific interpretation using a specialized language of actor-network graph theory. 4. Even a relatively shallow and fragmentary sociological analysis of this (digital) kind allows us to identify social facts, social patterns of a latent nature. Ensure mass descriptive and explanatory availability of their understanding. 5. A more in-depth and complete sociological analysis of a digital object, for example, social networks on the Internet, is able to provide a general (moderately detailed) and, most importantly, a reliable picture of the functioning of a digital empirical object, on the basis of which scientifically based forecasts can be made with a much higher probability.