Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results
Recently, there has been an increasing number of empirical evidence supporting the hypothesis that spread of avalanches of microposts on social networks, such as Twitter, is associated with some sociopolitical events. Typical examples of such events are political elections and protest movements. Ins...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/8750643 |
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| _version_ | 1832552080546463744 |
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| author | Andrey Dmitriev Victor Dmitriev Stepan Balybin |
| author_facet | Andrey Dmitriev Victor Dmitriev Stepan Balybin |
| author_sort | Andrey Dmitriev |
| collection | DOAJ |
| description | Recently, there has been an increasing number of empirical evidence supporting the hypothesis that spread of avalanches of microposts on social networks, such as Twitter, is associated with some sociopolitical events. Typical examples of such events are political elections and protest movements. Inspired by this phenomenon, we built a phenomenological model that describes Twitter’s self-organization in a critical state. An external manifestation of this condition is the spread of avalanches of microposts on the network. The model is based on a fractional three-parameter self-organization scheme with stochastic sources. It is shown that the adiabatic mode of self-organization in a critical state is determined by the intensive coordinated action of a relatively small number of network users. To identify the critical states of the network and to verify the model, we have proposed a spectrum of three scaling indicators of the observed time series of microposts. |
| format | Article |
| id | doaj-art-587c59b5e3344a33ba15cb575af0ac97 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-587c59b5e3344a33ba15cb575af0ac972025-02-03T05:59:41ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/87506438750643Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis ResultsAndrey Dmitriev0Victor Dmitriev1Stepan Balybin2School of Business Informatics, National Research University Higher School of Economics, Moscow, RussiaSchool of Business Informatics, National Research University Higher School of Economics, Moscow, RussiaDepartment of Physics, Lomonosov Moscow State University, Moscow, RussiaRecently, there has been an increasing number of empirical evidence supporting the hypothesis that spread of avalanches of microposts on social networks, such as Twitter, is associated with some sociopolitical events. Typical examples of such events are political elections and protest movements. Inspired by this phenomenon, we built a phenomenological model that describes Twitter’s self-organization in a critical state. An external manifestation of this condition is the spread of avalanches of microposts on the network. The model is based on a fractional three-parameter self-organization scheme with stochastic sources. It is shown that the adiabatic mode of self-organization in a critical state is determined by the intensive coordinated action of a relatively small number of network users. To identify the critical states of the network and to verify the model, we have proposed a spectrum of three scaling indicators of the observed time series of microposts.http://dx.doi.org/10.1155/2019/8750643 |
| spellingShingle | Andrey Dmitriev Victor Dmitriev Stepan Balybin Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results Complexity |
| title | Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results |
| title_full | Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results |
| title_fullStr | Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results |
| title_full_unstemmed | Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results |
| title_short | Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results |
| title_sort | self organized criticality on twitter phenomenological theory and empirical investigation based on data analysis results |
| url | http://dx.doi.org/10.1155/2019/8750643 |
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