Sociological knowledge as a result of the synthesis of formal and informal methods of studying societyлфт

Abstract: 
Sociological knowledge is created by sociologists who, in one way or another, are forced to interpret latent knowledge of various actors. In an attempt to overcome these problems, formal methods of non-numerical statistics and informal methods in the form of literary theories developed. In one way or another, these approaches have modeled social knowledge, which is actually studied by sociologists. However, advanced computer platforms for a variety of communication make it possible to create applications that allow social actors to independently describe their latent knowledge and thereby form social knowledge. This article describes how you can establish connections between certain aspects of knowledge using the program Diagogue created by the authors, using the example of conceptualizing an article annotation.

For citation: Kanygin G.V., Poltinnikova M.S. Sociological knowledge as a result of the synthesis of formal and informal methods of studying societyлфт. St. Petersburg Sociology Today. 2020. N. 13/14. P. 224-234. DOI:10.25990/socinstras.pss-13-14.wmt0-7638

References: 
  • Alle M. Sovremennaya ekonomicheskaya nauka i fakty [Modern economic science and facts] // THESIS [THESIS], 1994, no. 2, iss. 4, pp. 11—19. (In Russian)
  • Andreenkov V. G., Tolstova Yu. N. Osobennosti primeneniya matematicheskih metodov v sotsiologicheskih issledovaniyah. Analiz nechislovoy informatsii v sotsiologicheskih issledovaniyah [Features of the application of mathematical methods in sociological research. Analysis of non-numerical information in sociological research] / Edit by V. G. Andreenkov, A. I. Orlov, Yu. N. Tolstova. Moscow: Nauka, 1985, pp. 7-28. (In Russian)
  • Arnason J. P. Civilizational Patterns and Civilizing Processes. International Sociology, 2001, no. 16, pp. 387-405.
  • Bazeley P. Regulating Qualitative Coding Using QDAS Sociological Methodology, 2012, no. 42, pp. 77-8.
  • Haradhan Kumar Mohajan. Sharing of Tacit Knowledge in Organizations: A Review. American Journal of Computer Science and Engineering, 2016, vol. 3 (2), pp. 6-19.
  • Kanygin G., Poltinnikova M. The Graph Context-Oriented Ontological Methods. Cloud of Science, 2019, no. 2, pp. 246-264.
  • Kanygin G. V., Poltinnikova M. S. Kontekstno-orientirovannye ontologicheskie metody v sotsiologii [Context-oriented ontological methods in sociology]. Trudy SPIIRAN [SPIIRAS Proceedings], 2016, no. 5 (48), pp. 107-124. (In Russian)
  • Kanygin G. V., Poltinnikova M. S., Koretskaya V. S. Opyt postroeniya sotsial’nogo znaniya na osnove komp’yuternyh ontologicheskih metodov [The experience of building social knowledge based on computer ontological methods]. Sotsiologicheskiy zhurnal [Sociological journal], 2017, vol. 23, no. 3, pp. 25-41. (In Russian)
  • Raskov V. E. Upravlenie znaniyami kak samostoyatel’naya oblast’ issledovaniy: osnovnye diskussionnye voprosy [Knowledge management as an independent area of research: the main discussion issues]. Vestnik Sankt-Peterburgskogo universiteta. Menedzhment. [Bulletin of St. Petersburg University. Management], 2007, iss. 3, pp. 34-57. (In Russian)
  • Swedberg R. On the Near Disappearance of Concepts in Mainstream Sociology. In: Concepts in Action: Conceptual Constructionism. Eds.: H. Leiulfsrud, P. Sohlberg. Leiden; Boston: Brill, 2018.
  • Yadov V. A. Strategii i metody kachestvennogo analiza dannyh [Strategy and methods of qualitative data analysis]. Sotsiologiya: metodologiya, metody, matematicheskoe modelirovanie: Sotsiologiya: 4M [Sociology: 4M], 1991, no. 1, pp. 14-31. (In Russian)