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About One Approach to Modelling Dynamics of Network Community Opinion

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Information and Communication Technologies in Education, Research, and Industrial Applications (ICTERI 2019)

Abstract

The paper devoted to the study of dynamics of the network community opinion. The reason for arising this problem is the observed growth of manipulations by public opinion with using modern Information and Communication Technology. To control this situation, we need precise knowledge about factors influencing on public opinion evolution for different kinds of communities. This knowledge cannot be obtained by observations only. In the paper, therefore authors propose some framework for mathematical and simulating modelling evolution of network community opinion. Based on this framework, studying some kinds of communities is carrying out.

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Notes

  1. 1.

    In [1], we assumed that each participant could participate in at most one dialogue during a session. Here we discard this restriction.

  2. 2.

    Here \(\log \) means the binary logarithm.

References

  1. Zholtkevych, G., et al.: Simulating pairwise communication for studying its impact on community public opinion. In: Ermolayev, V., et al. (eds.) ICT in Education, Research, and Industrial Applications. CEUR Workshop Proceedings, vol. 2387, pp. 558–565. CEUR-WS (June 2019). http://ceur-ws.org/Vol-2387/20190034.pdf. Accessed 17 Sept 2019

  2. Habermas, J.: Strukturwandel der Öffentlichkeit: Untersuchungen zu einer Kategorie der bürgerlichen Gesellschaft. Suhrkamp Verlag AG (1990)

    Google Scholar 

  3. Rawls, J.: A Theory of Justice. Belknap Press of Harvard University Press, Cambridge (1971)

    Google Scholar 

  4. Bessette, J.: Deliberative democracy: The majority principle in republican government. In: How Democratic is the Constitution?, pp. 102–116. AEI Press, Washington, D.C. (1980)

    Google Scholar 

  5. Habermas, J.: Between Facts and Norms: Contributions to a Discourse Theory of Law and Democracy. Polity Press, Cambridge (1996)

    Book  Google Scholar 

  6. Offe, C.: Crisis and innovation of liberal democracy: can deliberation be institutionalized? Czech Sociol. Rev. 47(3), 447–473 (2011)

    Google Scholar 

  7. Habermas, J.: Moral Conciousness and Communicative Action. MIT Press, Cambridge (2001)

    Google Scholar 

  8. Habermas, J.: Theory of Communicative Action, Volume One: Reason and the Rationalization of Society, vol. One. Beacon Press, Boston (1981)

    Google Scholar 

  9. Habermas, J.: Theory of Communicative Action, Volume Two: Lifeworld and System: A Critique of Functionalist Reason. Beacon Press, Boston (1981)

    Google Scholar 

  10. Gramsci, A.: Prison Notebooks: Three Volume Set, vol. Set. Columbia University Press, New York (2011)

    Google Scholar 

  11. Adorno, T.W., et al.: The Authoritarian Personality. Harper and Row, New York (1950)

    Google Scholar 

  12. Horkheimer, M.: Critique of Instrumental Reason. Verso (2013)

    Google Scholar 

  13. Adorno, T.W., Horkheimer, M.: Dialectic of Enlightenment (Cultural Memory in the Present). Stanford University Press, Redwood City (2007)

    Google Scholar 

  14. Mouffe, C.: Deliberative democracy or agonistic pluralism. Soc. Res. 66(3), 745–758 (1999)

    Google Scholar 

  15. Mouffe, C.: On the Political. Routledge, London (2005)

    Google Scholar 

  16. Dublikash, T., et al.: Radicalism in ideologies and practices of supporting integration and disintegration projects in divided societies (in Russian). In: Methodology, theory and practice of sociological analysis of modern society, pp. 38–45. Publishing Center of V.N. Karazin Kharkiv National University, Kharkiv (2015)

    Google Scholar 

  17. Giddens, A.: Modernity and Self-Identity. Self and Society in the Late Modern Age. Polity Press, Cambridge (1991)

    Google Scholar 

  18. Bauman, Z.: The Individualized Society. Polity, Cambridge (2001)

    Google Scholar 

  19. Beck, U.: Risk Society, Towards a New Modernity. Sage Publications, London (1992)

    Google Scholar 

  20. Python. https://www.python.org/. Accessed 17 Sept 2019

  21. NumPy. https://numpy.org/. Accessed 17 Sept 2019

  22. SciPy. https://scipy.org/. Accessed 17 Sept 2019

  23. NetworkX. https://networkx.github.io/. Accessed 17 Sept 2019

  24. Matplotlib. https://matplotlib.org/. Accessed 17 Sept 2019

  25. Bhattacharya, R., Majumdar, M.: Random dynamical systems: a review. Econ. Theor. 23, 13–38 (2003)

    Article  MathSciNet  Google Scholar 

  26. Lytovchenko, A., Muradyan, O.: The destruction of political space: the case of Ukraine, 2014. In: Science and Education a New Dimension. Humanities and Social Sciences, vol. 6, pp. 104–107 (2018). http://seanewdim.com/uploads/3/4/5/1/34511564/hum_vi_156_26.pdf. Accessed 17 Sept 2019

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Correspondence to Grygoriy Zholtkevych .

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Zholtkevych, G., Muradyan, O., Ohulchanskyi, K., Shelest, S. (2020). About One Approach to Modelling Dynamics of Network Community Opinion. In: Ermolayev, V., Mallet, F., Yakovyna, V., Mayr, H., Spivakovsky, A. (eds) Information and Communication Technologies in Education, Research, and Industrial Applications. ICTERI 2019. Communications in Computer and Information Science, vol 1175. Springer, Cham. https://doi.org/10.1007/978-3-030-39459-2_15

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  • DOI: https://doi.org/10.1007/978-3-030-39459-2_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39458-5

  • Online ISBN: 978-3-030-39459-2

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