Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results
Joint Authors
Dmitriev, Andrey
Dmitriev, Victor
Balybin, Stepan
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-27
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Dmitriev, Andrey& Dmitriev, Victor& Balybin, Stepan. 2019. Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results. Complexity،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1133070
Modern Language Association (MLA)
Dmitriev, Andrey…[et al.]. Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results. Complexity No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1133070
American Medical Association (AMA)
Dmitriev, Andrey& Dmitriev, Victor& Balybin, Stepan. Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results. Complexity. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1133070
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133070