Феномен соціальних мереж: парадокс залежності та варіативність моделювання

• Authors: Hrybiuk Olena

Title variants

EN

The phenomenon of social networks: the paradox of dependence and variability modelling

• Languages of publication: UK

Abstracts

EN

Purpose. Іn the publication, a comparative analysis of scientifically-methodical bases of modeling of the learning environment, including using social networking was shown. Variable models are represented on the basis of competence-based approach taking into account the main stages of the design. Methods. Theoretical (the analysis of philosophical, psychological, sociological, pedagogical and methodological publications on the subject of the study); the empirical (observation, survey, pedagogical experiment); methods of statistical data processing. Results. To improve efficiency, including using social networking, it is recommended to consider the advantages of decentralized and centralized networks, improving the sustainability of horizontal communication, transparency, access to resources, monitoring of "reliability ratings", limiting the number of network members, the formation and development of "competence networks". Network stability is maintained even in case of instability of its membership and transaction volume. Based on the comparative analysis of the models considered in the present research, the principles of formation and coordination of the organizational structure in the virtual space. Differences due to the specifics regarding the use of modern information and cognitive technology, the inner logic of action and the specific culture of communication in the network. On the basis of similarities taking into account the analysed models, the prospect for further research is seen in the context of further ways to improve the efficiency of agents in the virtual space, including social networks.

Keywords

EN

modeling; variable models; computer-oriented learning environment; mathematics; network; engineering; social network

• Publisher: Wyższa Szkoła Gospodarki Euroregionalnej im. Alcide De Gasperi w Józefowie
• Journal: Intercultural Communication
• Year: 2017
• Issue: 2
• Pages: 123-142

Dates

published

2017-03-01

Contributors

author

Hrybiuk Olena

• Institute of Information Technologies and Learning Tools of NAES of Ukraine

References

• Bailey, N. (1975). The Mathematical Theory of Infectious Diseases and Its Applications. New York: Hafner Press.
• Bard, A., Zoderkvist, Ya. (2004). Netokratiya. Novaya pravyashchaya elita i zhizn’ posle kapitalizma. Perevod s shvedskogo yazyka. Saint Petersburg: Stokgol’mskaya shkola ekonomiki v Sankt-Peterburge, 252 pp. ISBN 5-315-00015-X, ISBN 5-315-00029-X. (in Russian).
• Briscoe, B., Odlyzko, A., Tilly, B. Metcalfe's Law is Wrong. (2006). Retrieved from: http://spectrum.ieee.org/computing/networks/metcalfes-law-is-wrong
• Carnes, T., Nagarajan, C., Wild, S.M., Zuylen, A. (2007). Maximizing Influence in a Competitive Social Network: A Follower’s Perspective. Proceedings of the Ninth International Conference of Electronic Commerce, pp. 351–360. Retrieved from: https://ecommons.cornell.edu/bitstream/handle/1813/9325/TR001454.pdf;sequence=1
• Deutsch, M., Gerard, H.B. (1955). A study of normative and informational social influences upon individual judgment. The Journal of Abnormal and Social Psychology, Vol. 51(3), Nov., 1955, pp. 629–636. Retrieved from: http://dx.doi.org/10.1037/h0046408
• Eisenstadt, S.N. (1956.). From Generation to Generation: Age Groups and Social Structure. Glencoe, III: Free Press.
• Glossary on Control Theory and its Applications. Retrieved from: http://www.glossary.ru
• Grybyuk, O.O. (2014). Mathematical Modeling as a Means and Method of Problem Solving in Teaching Subjects of Branches of Mathematics, Biology and Chemistry. Proceedings of the First International conference on Eurasian scientific development. “East West” Association for Advanced Studies and Higher Education GmbH. Vienna, pp. 46–53.
• Gubanov, D.A., Novikov, D.A., Chkhartishvili, A.G. (2009). Modeli vliyaniya v sotsial’nykh setyakh. Upravleniye bol’shimi sistemami: sbornik trudov. Retrieved from: http://cyberleninka.ru/article/n/modeli-vliyaniya-v-sotsialnyh-setyah. (in Russian).
• Gubanov, D.A., Novikov, D.A., Chkhartishvili, A.G. (2010). Sotsial’nyye seti: modeli informatsionnogo vliyaniya, upravleniya i protivoborstva. Pod red. chl.-korr. RAN D.A. Novikova. 2-e izd., stereotipnoye. Moscow: Izdatel’stvo fiziko-matematicheskoy literatury: MTSNMO, 2010, 228 p. ISBN 978-5-94052-194-5, ISBN 978-5-94052-669-3. (in Russian).
• Hrybiuk, O.O. (2013). Psykholoho-pedahohichni vymohy do komp"yuterno-oriyentovanykh system navchannya matematyky v konteksti pidvyshchennya yakosti osvity. Humanitarnyy visnyk DVNZ: Pereyaslav-Khmel'nyts'kyy derzhavnyy pedahohichnyy universytet imeni Hryhoriya Skovorody. Dodatok 1 do Vyp. 31, Tom IV (46): Tematychnyy vypusk: Vyshcha osvita Ukrayiny u konteksti intehratsiyi do yevropeys'koho osvitn'oho prostoru. Kyiv: Hnozys, pp. 110–123. (in Ukrainian).
• Hrybiuk, O.O. (2014). Impact of Information and Communication Technologies on Psychophysiological Development of the Young Generation. "Science", the European Association of pedagogues and psychologists. International scientific-practical conference of teachers and psychologists "Science of future": materials of proceedings of the International Scientific and Practical Congress. Prague (Czech Republic), the 5-th of March, 2014. Publishing Center of the European Association of pedagogues and psychologists "Science", Prague, 2014, Vol. 1, pp. 190–207. (in Ukrainian).
• Hrybiuk, O.O. (2015). Cognitive Theory of the Computer Based System for Learning Natural and Mathematical Sciences and Relationships of the Verbal and Visual Component. Humanitarian Bulletin of the SHEE ‘Perejaslav-Khmelnytsky State Pedagogical University named after Hryjoriy Skovoroda’. Appendix 1 to the issue 36, Volume IV (64): Special issue ‘Ukrainian high education in the context of integration into the European educational space.’ Kyiv: Gnosis, pp. 158–175. (in Ukrainian).
• Hrybiuk, O.O. (2015). Pedagogical Designing of Computer-Based Educational Environment in Disciplines of Natural – Mathematical Cycle. Scientific notes. Issue 7. Series: Problems of methods of physical – mathematical and technological education. Part 3. Kirovograd.: RIO KSPU them. V. Vynnychenko, pp. 38–50. (in Ukrainian).
• Hrybiuk, O.O., (2013). Computer-Oriented Systems of Teaching Mathematics in Secondary Schools. Teoria i praktyka – znaczenie badań naukowych: Zbiór raportów naukowych. (29.07.2013–31.07.2013). Lublin: Publisher: Sp.z o.o. "Diamond trading tour", pp. 89–101. (in Ukrainian).
• Latané, B. (1981). The psychology of social impact. American Psychologist, Vol. 36(4), Apr., pp. 343–356. Retrieved from: http://dx.doi.org/10.1037/0003-066X.36.4.343
• Mahdian, M., Anagnostopoulos, A., Kumar, R. (2008). Influence and Correlation in Social Network. Proceeding of the 14-th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 7–15.
• Mayyers, Devid Dzh. (2013). Sotsial’naya psikhologiya. per. Z. Zamchuk. Sankt-Peterburg: Piter, 800 pp. ISBN 987-5-496-00115-1. (in Russian).
• Meshcheryakov, B.G., Zinchenko, V.P. (2004). Bol’shoy psikhologicheskiy slovar’. Sost. i obshch. red. B. Meshcheryakov, V. Zinchenko. Sankt-Peterburg: praym-EVROZNAK, 672 p. (in Russian).
• Mir Psikhologii. Retrieved from: http://psychology.net.ru/dictionaries/psy.html?word=135. (in Russian).
• Oxford Dictionaries. Retrieved from: http://www.oxforddictionaries.com/
• Palmer, C., Gibbons, P., Faloutsos, C. (2002). ANF: A Fast and Scalable Tool for Data Mining in Massive Graphs. In SIGKDD, Edmonton, AB, Canada, July.
• Reed, D.P. (1999). That Sneaky Exponential: Beyond Metcalfe's Law to the Power of Community Building. Retrieved from: http://www.reed.com/dpr/locus/gfn/reedslaw.html
• Robins, G., Pattison, P., Kalish, Y., Lusher, D. (2007). An Introduction to Exponential Random Graph (p*) Models for Social Networks. Social Networks, No. 29, pp. 173–191.
• Rogers, E.M. (1983). Diffusion of Innovation. New York, London: Free Press.
• Shteynberg, I.E. (2009.). “Zhivyye” i virtual’nyye seti sotsial’noy podderzhki: analiz skhodstv i razlichiy. Sotsiologicheskiy zhurnal. No. 4, pp. 85–103. (in Russian).
• Simeonov, S. (2006). Metcalfe’s Law: more misunderstood thanwrong? Retrieved from: https://blog.simeonov.com/2006/07/26/metcalfes-law-more-misunderstood-than-wrong/
• Vasin, A.A., Krasnoshchekov, P.S., Morozov, V.V. (2008). Issledovaniye operatsiy. Moscow: Izd-vo Akademiya. (in Russian).
• Wu, F., Huberman, B., Adamic, L., Tyler, J. (2004). Information Flow in Social Groups. Statistical and Theoretical Physics. No. 337, pp. 327–335.
• Zhang, D., Gatica-Perez, D., Bengio, S., Roy, D. (2005). Learning influence among interacting Markov Chains. Neural Information Processing Systems, pp. 132-141. Retrieved from: https://papers.nips.cc/paper/2918-learning-influence-among-interacting-markov-chains.pdf