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.
In [1], we assumed that each participant could participate in at most one dialogue during a session. Here we discard this restriction.
- 2.
Here \(\log \) means the binary logarithm.
References
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
Habermas, J.: Strukturwandel der Öffentlichkeit: Untersuchungen zu einer Kategorie der bürgerlichen Gesellschaft. Suhrkamp Verlag AG (1990)
Rawls, J.: A Theory of Justice. Belknap Press of Harvard University Press, Cambridge (1971)
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)
Habermas, J.: Between Facts and Norms: Contributions to a Discourse Theory of Law and Democracy. Polity Press, Cambridge (1996)
Offe, C.: Crisis and innovation of liberal democracy: can deliberation be institutionalized? Czech Sociol. Rev. 47(3), 447–473 (2011)
Habermas, J.: Moral Conciousness and Communicative Action. MIT Press, Cambridge (2001)
Habermas, J.: Theory of Communicative Action, Volume One: Reason and the Rationalization of Society, vol. One. Beacon Press, Boston (1981)
Habermas, J.: Theory of Communicative Action, Volume Two: Lifeworld and System: A Critique of Functionalist Reason. Beacon Press, Boston (1981)
Gramsci, A.: Prison Notebooks: Three Volume Set, vol. Set. Columbia University Press, New York (2011)
Adorno, T.W., et al.: The Authoritarian Personality. Harper and Row, New York (1950)
Horkheimer, M.: Critique of Instrumental Reason. Verso (2013)
Adorno, T.W., Horkheimer, M.: Dialectic of Enlightenment (Cultural Memory in the Present). Stanford University Press, Redwood City (2007)
Mouffe, C.: Deliberative democracy or agonistic pluralism. Soc. Res. 66(3), 745–758 (1999)
Mouffe, C.: On the Political. Routledge, London (2005)
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)
Giddens, A.: Modernity and Self-Identity. Self and Society in the Late Modern Age. Polity Press, Cambridge (1991)
Bauman, Z.: The Individualized Society. Polity, Cambridge (2001)
Beck, U.: Risk Society, Towards a New Modernity. Sage Publications, London (1992)
Python. https://www.python.org/. Accessed 17 Sept 2019
NumPy. https://numpy.org/. Accessed 17 Sept 2019
SciPy. https://scipy.org/. Accessed 17 Sept 2019
NetworkX. https://networkx.github.io/. Accessed 17 Sept 2019
Matplotlib. https://matplotlib.org/. Accessed 17 Sept 2019
Bhattacharya, R., Majumdar, M.: Random dynamical systems: a review. Econ. Theor. 23, 13–38 (2003)
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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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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