Online Rebellion: Self-Organized Criticality of Contemporary Protest Movements

Zhukov, Dmitry; Kunavin, Konstantin S.; Lyamin, Sergey K.

doi:10.1177/2158244020923354

Cited by 8 publications

(9 citation statements)

References 33 publications

(26 reference statements)

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“…Let us take social media as an example. Recent studies have shown that most social networks are capable to self-organize into the critical state (see the papers [7,[46][47][48][49][50][51]). The mechanisms (local rules) for online social networks (for example, Twitter) for transition into the SOC state are similar to the standard rules of the sandpile cellular automaton on the BA graph.…”

Section: Discussionmentioning

confidence: 99%

Early Warning Signals for Critical Transitions in Sandpile Cellular Automata

et al. 2022

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The sandpile cellular automata, despite the simplicity of their basic rules, are adequate mathematical models of real-world systems, primarily open nonlinear systems capable to self-organize into the critical state. Such systems surround us everywhere. Starting from processes at microscopic distances in the human brain and ending with large-scale water flows in the oceans. The detection of critical transitions precursors in sandpile cellular automata will allow progress significantly in the search for effective early warning signals for critical transitions in complex real systems. The presented paper is devoted to the detection and investigation of such signals based on multifractal analysis of the time series of falls of the cellular automaton cells. We examined cellular automata in square lattice and random graphs using standard and facilitated rules. It has been established that log wavelet leaders cumulant are effective early warning measures of the critical transitions. Common features and differences in the behavior of the log cumulants when cellular automata transit into the self-organized critical state and the self-organized bistability state are also established.

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Section: Discussionmentioning

confidence: 99%

Early Warning Signals for Critical Transitions in Sandpile Cellular Automata

et al. 2022

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“…Recently, there has been strong evidence of the existence of the SOC state on the social networks that is presented in the number of fundamental studies (e.g., see the papers [20][21][22][23][24][25]). e following papers are the most relevant to our research.…”

Section: Introductionmentioning

confidence: 99%

Identification of Self‐Organized Critical State on Twitter Based on the Retweets’ Time Series Analysis

Dmitriev

2021

Complexity

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There is a number of studies, in which it is established that the observed flows of microposts generated by microblogging social networks (e.g., Twitter) are characterized by avalanche-like behavior. Time series of microposts depicting such streams are the time series with a power-law distribution, with 1/f noise and long memory. Despite this, there are no studies devoted to the detection and analysis of self-organized critical state, subcritical phase, and supercritical phase. The presented paper is devoted to the detection and investigation of such critical states and phases. An algorithm is proposed that allowed to detect of critical phases and critical conditions on Twitter, based on the analysis of retweets time series corresponding to the three debates of the 2016 United States Presidential Election, as the most popular debate in the history of America, collecting 84 million live views.

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“…Social systems with cooperative dynamics, studied using the dynamical data from online social sites [38,51,[83][84][85], appear to possess the mechanisms of SOC that enable the genesis of collective values from the individual features (knowledge, emotions, and behaviours) of the communicating participants. The same active principle seems to underscore the emergence of languages [86,87], as well as the social protests [88], wars [89], and historical processes [90]. In contrast to the above mentioned physical systems, the interactions underlying social self-organisation have different attributes that are elusive to similar formal theories.…”

Section: Self-organised Critical Systems and Their Network At Different Scalesmentioning

confidence: 98%

Self-Organised Critical Dynamics as a Key to Fundamental Features of Complexity in Physical, Biological, and Social Networks

Tadić

Melnik

2021

Dynamics

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Studies of many complex systems have revealed new collective behaviours that emerge through the mechanisms of self-organised critical fluctuations. Subject to the external and endogenous driving forces, these collective states with long-range spatial and temporal correlations often arise from the intrinsic dynamics with the threshold nonlinearity and geometry-conditioned interactions. The self-similarity of critical fluctuations enables us to describe the system using fewer parameters and universal functions that, on the other hand, can simplify the computational and information complexity. Currently, the cutting-edge research on self-organised critical systems across the scales strives to formulate a unifying mathematical framework, utilise the critical universal properties in information theory, and decipher the role of hidden geometry. As a prominent example, we study the field-driven spin dynamics on the hysteresis loop in a network with higher-order structures described by simplicial complexes, which provides a geometric-frustration environment. While providing motivational illustrations from physical, biological, and social systems, along with their networks, we also demonstrate how the self-organised criticality occurs at the interplay of the complex topology and driving mode. This study opens up new promising routes with powerful tools to address a long-standing challenge in the theory and applications of complexity science ingrained in the efficient analysis of self-organised critical states under the competing higher-order interactions embedded in complex geometries.

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Online Rebellion: Self-Organized Criticality of Contemporary Protest Movements

Cited by 8 publications

References 33 publications

Early Warning Signals for Critical Transitions in Sandpile Cellular Automata

Early Warning Signals for Critical Transitions in Sandpile Cellular Automata

Identification of Self‐Organized Critical State on Twitter Based on the Retweets’ Time Series Analysis

Self-Organised Critical Dynamics as a Key to Fundamental Features of Complexity in Physical, Biological, and Social Networks

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