Мультиэвристический подход к анализу интернет-пространства для комплексной оценки факторов риска развития социально значимых заболеваний нервной системы у детей и молодежи

Svetlana Valentinovna Pivneva; Natalia Grigorievna Vitkovskaya; Diana Arkadevna Denisova

doi:10.25559/SITITO.16.202004.1010-1019

Svetlana Valentinovna Pivneva Russian State Social University http://orcid.org/0000-0003-2288-9915
Natalia Grigorievna Vitkovskaya Russian State Social University http://orcid.org/0000-0003-1277-9616
Diana Arkadevna Denisova Russian State Social University http://orcid.org/0000-0002-3759-4557

DOI: https://doi.org/10.25559/SITITO.16.202004.1010-1019

Abstract

The work is aimed at a comprehensive study of the interaction of man and Internet technologies at the present stage of global development, methods of neurophysiology and social sciences. A feature of our study is the application of a multi-heuristic approach to the analysis of the Internet space for a comprehensive assessment of risk factors for the development of socially significant diseases of the nervous system in children and youth. The study determined precisely the group of children and youth of student age, since there is extensive experience working with this age category. The main work is the development and implementation of heuristic algorithms that include a whole range of heuristics - this is a multi-heuristic approach. The concept of sociocultural encapsulation matrices is considered, and its distribution to the encapsulation of groups in the Internet space is proposed. The research tasks are presented, consisting in the mathematical modeling of Internet space using the adjacency vector (degree vector) of the 2nd order and the solution of the inverse recovery problem for the given characteristics as an approach to studying the adequacy of the generated models of social, gender and age groups, developing an approach to the formation of metrics to determine the structure of online communities: a variety of social, gender, age, etc. groups. The sociocultural encapsulation matrices in the Internet space are also determined based on the developed metrics. Original algorithms for clustering situations in the analysis of encapsulated groups have been developed. Heuristic algorithms have been developed for analyzing Internet space using clustering situations. Moreover, clustering is used to determine the structure of communities, in particular, to identify, for example, social groups with similar interests or other common features. The data reflecting the graphs describe the circles of communities, and the number of vertices of the graph is identified with the number of users included in this circle. The time of generation (recovery) of the graph in the model can be considered the time of checking the adequacy.

Author Biographies

Svetlana Valentinovna Pivneva, Russian State Social University

Head of the Department of Informatics and Applied Mathematics, Ph.D. (Pedagogy), Associate Professor

Natalia Grigorievna Vitkovskaya, Russian State Social University

Associate Professor of the Department of Informatics and Applied Mathematics, Ph.D. (Pedagogy), Associate Professor

Diana Arkadevna Denisova, Russian State Social University

Associate Professor of the Department of Informatics and Applied Mathematics, Ph.D. (Engineering), Associate Professor

References

[1] Vitkovskaya N.G. Informatsionnaya kompetentnost' studentov kak odno iz usloviy individual'nogo obucheniya [Informative competence of students as one of terms of individual educating]. Vestnik of Volzhsky University after V.N. Tatishchev. 2015; (2):70-78. Available at: https://www.elibrary.ru/item.asp?id=23882630 (accessed 10.06.2020). (In Russ., abstract in Eng.)
[2] Vitkovskaya N.G. K voprosu o formirovanii informatsionnoy kompetentnosti budushchikh zhurnalistov v protsesse ikh obucheniya v vuze [On the formation of information competence of future journalists in the process of learning in higher education]. Vestnik of Volzhsky University after V.N. Tatishchev. 2013; (3):79-88. Available at: https://www.elibrary.ru/item.asp?id=21018366 (accessed 10.06.2020). (In Russ., abstract in Eng.)
[3] Apanasyuk L.A., Soldatov A.A. Socio-Psychological Conditions for Optimizing Intercultural Interaction in the Educational Space of the University. Scientific Notes of Russian State Social University. 2017; 16(5):143-150. (In Russ., abstract in Eng.) DOI: https://doi.org/10.17922/2071-5323- 2017-16-5-143-150
[4] Pivneva S.V., Ivanova T.N., Akhmetzhanova G.V., Kurilova A.A., Anisimova J.A. Applying an Algorithm for Vertex Minimization of Non-deterministic Finite Automata (NFA) on the Basis of a Multi-heuristic Approach for Studying Social and Economic Performances of Region. In: Popkova E. (ed.) The Future of the Global Financial System: Downfall or Harmony. ISC 2018. Lecture Notes in Networks and Systems. 2019; 57:813-818. Springer, Cham. (In Eng.) DOI: https://doi.org/10.1007/978-3-030-00102-5_87
[5] Pivneva S.V., Kuptsov N.A. Matematicheskoye modelirovaniye protsessa obucheniya i samoobucheniya na osnove mul'tievristicheskogo podkhoda [Mathematical modeling of the learning and self-learning process based on the multi-heuristic approach]. Sovremennye informacionnye tehnologii i IT-obrazovanie = Modern Information Technologies and IT-Education. 2015; 11(2):121-126. Available at: https://www.elibrary.ru/item.asp?id=26167478 (accessed 10.06.2020). (In Russ., abstract in Eng.)
[6] Pivneva S.V., Melnikov B.F., Kuptsov N.A. Infinitely complex sum of classification of non-commuting matrix s-sets. CEUR Workshop Proceedings. 2016; 1763:56-63. Available at: http://ceur-ws.org/Vol-1763/paper07.pdf (accessed 10.06.2020). (In Russ., abstract in Eng.)
[7] Melnikov B.F., Melnikova E.A., Pivneva S.V., Churikova N.P., Dudnikov V.A., Prus M.Y. Multi-heuristic and game approaches in search problems of the graph theory. In: Proceedings of the International Conference Information Technology and Nanotechnology (ITNT 2018). Novaya tehnika, Samara; 2018. p. 2884-2892. Available at: https://www.elibrary.ru/item.asp?id=34895071 (accessed 10.06.2020). (In Eng.)
[8] Melnikov B.F., Pivneva S.V., Trifonov M.A. Multiheuristic Approach to Compare the Quality of Defined Metrics on the Set of DNA Sequences. Sovremennye informacionnye tehnologii i IT-obrazovanie = Modern Information Technologies and IT-Education. 2017; 13(2):89-96. (In Russ., abstract in Eng.) DOI: https://doi.org/10.25559/SITITO.2017.2.235
[9] Melnikov B.F., Pivneva S.V., Trifonov M.A. Various algorithms, calculating distances of DNA sequences, and some computational recommendations for use such algorithms. CEUR Workshop Proceedings. 2017; 1902:43-50. Available at: http://ceur-ws.org/Vol-1902/paper8.pdf (accessed 10.06.2020). (In Eng.)
[10] Yudina T.N., Frolova E.V., Тanatova D.K., Dolgorukova I.V. Rodimushkina O.V. Human Security and Fear of Victimization. Journal of Sociology and Social Anthropology. 2017; 20(1):114-127. Available at: https://www.elibrary.ru/item.asp?id=29159442 (accessed 10.06.2020). (In Russ., abstract in Eng.)
[11] Firsov M.V., Yudina T.N., Chernikova A.A. Features of Encapsulation Processes in Multivector Coordinates of Russian Society. Uchenye Zapiski Zabaikalskogo Gosudarstvennogo Universiteta = Scholarly Notes of Transbaikal State University. 2017; 12(3):30-40. (In Russ., abstract in Eng.) DOI: https://doi.org/10.21209/2500-171X-2017-12-3-30-40
[12] Kuropjatnik M.S. Cultural Encapsulation: Contexts and Interpretations of Sociocultural Processes. Vestnik of Saint-Petersburg University. Sociology. 2015; (3):135-141. Available at: https://www.elibrary.ru/item.asp?id=24356759 (accessed 10.06.2020). (In Russ., abstract in Eng.)
[13] Zavadenko N.N., Suvorinova N.Yu., Zavadenko A.N. Attention deficit hyperactivity disorder in children: effectiveness of hopantenic acid pharmacotherapy. Clinical Practice in Pediatrics. 2018; 13(2):11-18. (In Russ., abstract in Eng.) DOI: https://doi.org/10.20953/1817-7646-2018-2-11-18
[14] Melnikov B., Pivneva S. On the multiple-aspect approach to the possible technique for determination of the author's literary style. CEUR Workshop Proceedings. 2016; 1761:311-315. Available at: http://ceur-ws.org/Vol-1761/paper40.pdf (accessed 10.06.2020). (In Eng.)
[15] Panov A.N. Invariants of coadjoint representations of regular factors. St. Petersburg Mathematical Journal. 2011; 22(3):497-514. (In Eng.) DOI: https://doi.org/10.1090/S1061-0022-2011-01155-0
[16] Melnikov B.F., Pivneva S.V., Trifonov M.A. Estimation of algorithms for calculation of distance between DNA lines. University Proceedings. Volga Region. Physical and Mathematical Sciences. 2015; (2):57-67. Available at: https://elibrary.ru/item.asp?id=24254288 (accessed 10.06.2020). (In Russ., abstract in Eng.)
[17] Korabelshchikova S.Y., Melnikov B.F., Pivneva S.V., Zyablitseva L.V. Linear error correcting codes and their application in DNA analysis. In: Proceedings of the International Conference Information Technology and Nanotechnology (ITNT 2018). Novaya tehnika, Samara; 2018. p. 2095-2100. Available at: https://elibrary.ru/item.asp?id=34894963 (accessed 10.06.2020). (In Eng.)
[18] Khattar N., Sidhu J., Singh J. Toward energy-efficient cloud computing: a survey of dynamic power management and heuristics-based optimization techniques. The Journal of Supercomputing. 2019; 75(8):4750-4810. (In Eng.) DOI: https://doi.org/10.1007/s11227-019-02764-2
[19] Pivneva S.V., Trifonov M.A. Metricheskaya otsenka algoritmov rascheta rasstoyaniya strok DNK [Metric evaluation of algorithms for calculating the distance of DNA strings]. South-Siberian Scientific Bulletin. 2014; (2):17-20. Available at: https://www.elibrary.ru/item.asp?id=21588759 (accessed 10.06.2020). (In Russ.)
[20] Melnikov B.F., Pivneva S.V., Trifonov M.A. Comparative analysis of algorithms calculating distances of DNA sequences and some related problems. In: Proceedings of the International Conference Information Technology and Nanotechnology (ITNT 2017). Novaya tehnika, Samara; 2017. p. 1640-1645. Available at: https://www.elibrary.ru/item.asp?id=29267020 (accessed 10.06.2020). (In Eng.)
[21] Pivneva S.V., Kuptsov N.A. Matematicheskoye modelirovaniye protsessa obucheniya i samoobucheniya na osnove mul'tievristicheskogo podkhoda [Mathematical modeling of the learning and self-learning process based on the multi-heuristic approach]. Sovremennye informacionnye tehnologii i IT-obrazovanie = Modern Information Technologies and IT-Education. 2015; 11(2):121-126. Available at: https://www.elibrary.ru/item.asp?id=26167478 (accessed 10.06.2020). (In Russ., abstract in Eng.)
[22] Melnikov B.F., Makarkin S.B., Sayfullina E.F. Nekotoryye voprosy matematicheskogo modelirovaniya sotsial'nykh setey (na primere Facebook’a) [Some questions of mathematical modeling of social networks (on the example of Facebook'a)]. South-Siberian Scientific Bulletin. 2014; (1):51-53. Available at: https://www.elibrary.ru/item.asp?id=21095206 (accessed 10.06.2020). (In Russ.)
[23] Davydova L.A., Zavadenko N.N. Development of psychoneurological disorders in prematurely born children with very low and extremely low birth weight. Pediatrics. Consilium Medicum. 2018; (1):111-116. (In Russ., abstract in Eng.) DOI: https://doi.org/10.26442/2413-8460_2018.1.111-116
[24] Nesterovskiy Yu.E., Zavadenko N.N., Shipilova E.M., Suvorinova N.Yu. School disadaptation in pediatric and neurologiс practice. Consilium Medicum. 2017; 19(2.3. Neurology and Rheumatology): 28-33. (In Russ., abstract in Eng.) DOI: https://doi.org/10.26442/2075-1753_19.2.3.28-33
[25] Rich E. Young people and public pedagogies of the body within social media. In: Goodyear V.A., Armour K.M. (ed.) Young People, Social Media and Health. Routledge, Taylor & Francis Group; 2019. p. 132-146. (In Eng.)