Discontinuity, Nonlinearity, and Complexity
Investigation into the Regular and Chaotic States of Twitter
Discontinuity, Nonlinearity, and Complexity 7(4) (2018) 403--411 | DOI:10.5890/DNC.2018.12.005
Victor Dmitriev, Andrey Dmitriev
National Research University Higher School of Economics, 33 Kirpichnaya Street, Moscow, Russia
Download Full Text PDF
Abstract
The present paper is devoted to the investigation into the nonlinear dynamics of Twitter. A newmodel of Twitter as a thermodynamic non-equilibrium system is suggested. Dynamic variables of such system are represented by the variations of tweet/retweet number and instantaneous diversity between the densities of population on different levels around the equilibrium values. Regular and chaotic states of networks are described. It is pointed out, that the system is in a condition of an asymptotically stable equilibrium when the intensity values of an external information are small (the number of tweets eventually tends to its equilibrium value). If the intensity values of external information exceed the critical value, then the chaotic oscillations of tweets are to be observed. We have made the calculations of the correlation dimension and embedding dimension for the dynamics of the 10 most popular @ (TOP 100 by data of Twitter Counter). The results show, that all observed time series have clearly defined chaotic dynamical nature.
References
-
[1]  | Chakraborti, A., Toke, I., Patriarca, V. and Abergel, F. (2011), Econophysics review: II. Agent-based models, Quantitative Finance, 11, 1013-1041. |
-
[2]  | Richmond, P., Mimkes, J. and Hutzler, S. (2013), Econophysics and Physical Economics, Oxford University Press: United Kingdom. |
-
[3]  | Savoiu, G. (2013), Econophysics. Background and Applications in Economics, Finance, and Sociophysics, Elsevier: Amsterdam. |
-
[4]  | Slovokhotov, Y. (2012), Physics vs. sociophysics. Part 1. Physical grounds of social phenomena. Processes in society and solar forcing.Mechanical movement in a system of living particles, Probl. Upr., 1, 2-20. |
-
[5]  | Grabowski, A. and Kosinski, R.A. (2006), Ising-based model of opinion formation in a complex network of interpersonal interactions, Physica A, 361, 651-664. |
-
[6]  | Dasgupta, S., Pan R.K. and Sinha, S. (2009), Phase of Ising spins on modular networks analogous to social polarization, Physical Review E, 80, 025101-1. |
-
[7]  | Bianconi, G. (2002),Mean field solution of the Ising model on a Barabasi-Albert network, Phys. Lett. A, 303, 166. |
-
[8]  | Bianconi, G. ans Barabási, A.L. (2001), Bose-Einstein Condensation in Complex Networks, Phys. Rev. Lett., 86, 5632- 5635. |
-
[9]  | Albert, R. and Barabasi, A.-L. (2002), Statistical mechanics of complex networks, Rev. Mod. Phys., 74, 47-97. |
-
[10]  | Faccin, M., Johnson, T., Biamonte, J. and Kais, S. (2013), Degree Distribution in Quantum Walks on Complex Networks, Phys. Rev. X, 3, p. 041007. |
-
[11]  | Reichardt, J. and Bornholdt, S. (2006), Statistical mechanics of community detection, Phys. Rev. E, 74, p. 016110. |
-
[12]  | Mendes, V. (2005), Tools for network dynamics, J. Bifurcation Chaos, 15, p. 1185. |
-
[13]  | Ebel, H., Davidsen, J. and Bornholdt, S. (2003), Dynamics of Social Networks, Complexity, 8, 24-27. |
-
[14]  | Toivonen, R., Onnela, J.P., Saramaki, J., Hyvonen, J. and Kaski, K. (2006), A model for social networks, Physica A, 371, 851-860. |
-
[15]  | Toivonen, R., Onnela, J.P., Saramaki, J., Hyvonen, J. and Kaski, K. (2009), A comparative study of social network models: Network evolution models and nodal attribute models, Social Networks, 31, 240-254. |
-
[16]  | Mimkes, J. (2006), A Thermodynamic Formulation of Social Science, Wiley: Germany. |
-
[17]  | Robert, V. and Youguel, G. (2015), The economics of knowledge, innovation and systemic technology policy, Routledge Tailor & Francis Group: USA. |
-
[18]  | Kizel, J. (1987), Statistical Thermodynamics of Nonequilibrium Processes, Springer-Verlag: New York. |
-
[19]  | Atkins, P.W. (1993), The Elements of Physical Chemistry, Oxford University Press: United Kingdom. |
-
[20]  | Lorenz, E.N. (1963), Deterministic nonperiodic flow, Journal of the Atmospheric Sciences, 20, 130-141. |
-
[21]  | Sparrow, C. (1982), The Lorenz equations: bifurcations, chaos and strange attractors, Springer: Germany. |
-
[22]  | Hilborn, R.C. (2000), Chaos and nonlinear dynamics: an introduction for scientists and engineers, Oxford University Press: United Kingdom. |
-
[23]  | Kovacic, I. and Brennan, M.J. (2011), The Duffing equation: nonlinear oscillators and their behavior, John Wiley & Sons: USA. |
-
[24]  | Lakshmanan,M. and Murali, K. (1996), Chaos in nonlinear oscillators: controlling and synchronization,World Scientific, 13, 35-90. |
-
[25]  | Grassberger, P. and Procaccia, I. (1983), Measuring the trangeness of strange attractors, Physica D: Nonlinear Phenomena 9, 189-208. |
-
[26]  | Ding, M., Grebogi, C., Ott, E., Sauer, T. and Yorke, J. (1993), Estimating correlation dimension from a chaotic time series: when does plateau onset occur? Physica D, 69, 404-424. |
-
[27]  | Grassberger, P., Schriber, T. and Schaffrath, C. (1991), Nonlinear time sequence analysis, Int. J. Bifurcation Chaos, 01, 521-547. |