scholarly journals RATING OF USERS INVOLVEMENT IN THE RADICAL GROUPS IN SOME SOCIAL NETWORKS

2019 ◽  
pp. 113-122
Author(s):  
N.S. Barabash ◽  
D.S. Zhukov
Keyword(s):  
Social Networks ◽  
Hong Kong ◽  
Pink Noise ◽  
Self Organized ◽  
Self Organized Criticality ◽  
High Level ◽  
Facebook Pages ◽  
Source Of Information

This issue is an enclosure to the theory of self-organized criticality (SOC) for studying of the radical protest groups of people in some social networks. The SOC theory needs for the value of level of the users involvement in Facebook communities which support the protest moves in Hong Kong in 2019. There were studied about 35 Facebook pages. The period of studying 01.03 to 23.03.2019. This article claims that the communities with the high level of users involvement are based on self-organized criticality. This item also explains some SOC theory approaches according to which a method of pink noise identity is one of the SOC attribute. It is necessary to say that some protest communities work in SOC regime. In spite of the seeming polycentric of the protest network the connection of reflection comes to a few number of Facebook pages which are the source of information and intension of the protesters so they can become the event’s drivers.

PUNCTUATED EQUILIBRIUM: A VIEW FROM THE PERSPECTIVE OF THE THEORY OF SELF-ORGANIZED CRITICALITY

METOD ◽  
2020 ◽  
pp. 416-442
Author(s):  
Dmitriy Zhukov
Keyword(s):  
Social Systems ◽  
Punctuated Equilibrium ◽  
Computer Experiments ◽  
Political Activity ◽  
Pink Noise ◽  
Social Transformations ◽  
Protest Movements ◽  
Self Organized ◽  
Long Time ◽  
Self Organized Criticality

Punctuated equilibrium is regarded as the state of natural and social systems manifested in occasional intense, quick bursts of activity. Within the framework of the theory of self-organized criticality (SOC), punctuated equilibrium can be formalized as pink noise. SOC theory, having been developed by the end of 1980s, was originally intended to explain natural science phenomena. However, soon after its presentation, it began to spread across the social and humanitarian field of knowledge. Critical state is one on the brink of a bifurcation point. It turns out that some systems can stay in a state of permanent choice for a fairly long time. The author presents the examples of punctuated equilibrium revealed in computer experiments with artificial societies, as well as through empirical observation (particularly, in the dynamics of voting patterns, internet activity, and protest movements in the past and present). The key concepts of SOC theory and tools for pink noise identification are laid out. The sandpile model has been given special attention. Certain papers have been analyzed in which SOC theory was applied to gain some political science knowledge. According to SOC, in certain cases, there is no need to search for some significant extraordinary factor to shed light on explosive social transformations (including revolutions and other bursts of social and political activity). Social transformations can be induced by quite ordinary - and thus undistinguished - properties of systems, micro-level pro- cesses, and local impulses. SOC theory, therefore, refocuses the attention of researchers from the search for direct causes of events to the identification of states of the subject that generates these events.

scholarly journals Online Rebellion: Self-Organized Criticality of Contemporary Protest Movements

SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402092335
Author(s):  
Dmitry Zhukov ◽  
Konstantin Kunavin ◽  
Sergey Lyamin
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Protest Movements ◽  
Self Organized ◽  
The Social ◽  
Self Organized Criticality ◽  
Mass Actions ◽  
Protest Activity

The theory of self-organized criticality (SOC) is applicable for explaining powerful surges of protest activity on social media. The objects of study were two protest clusters. The first was a set of Facebook groups that promoted the impeachment of the Brazilian president Dilma Rousseff. The second was a set of groups on the social network Vkontakte that provided support for anti-government rallies in Armenia, referred to as Electric Yerevan. Numerous groups in the examined clusters were functioning in SOC mode during certain periods. Those clusters were able to generate information avalanches—seemingly spontaneous, powerful surges of creation, transmission, and reproduction of information. The facts are presented that supported the assumptions that SOC effects in social networks are associated with mass actions on the streets, including violence. The observations of SOC make it possible to reveal certain periods when the course of a sociopolitical system is least stable.

Industry Trends

2012 ◽  
Vol 54 (1) ◽  
pp. 6-9 ◽  
Author(s):  
James Houran ◽  
Rense Lange ◽  
Keith Kefgen
Keyword(s):  
Time Series ◽  
Executive Coaching ◽  
Neural Nets ◽  
Noise Distribution ◽  
Pink Noise ◽  
Self Organized ◽  
Self Organized Criticality ◽  
Traditional Organization ◽  
Career Moves ◽  
Industry Trends

We explored the idea that the timing of executives’ career moves was consistent with Bak’s notion of self-organized criticality. Consistent with predictions, time series analysis of job changes for 43 hospitality executives obeyed a power law and revealed a mixture of predictable and unpredictable patterns with a musical nature (pink noise distribution). The data showed better fit for traditional ‘organization men’ versus opportunistic ‘trailblazers.’ These differences in career patterns (rhythms) could be used to reliably distinguish between these two executive-types using neural nets. Potential implications for executive coaching and development are discussed.

scholarly journals APPLICATION OF THE THEORY OF SELF-ORGANIZED CRITICALITY TO THE STUDY OF ELECTORAL BEHAVIOR

2019 ◽  
pp. 123-131
Author(s):  
D.S. Zhukov
Keyword(s):  
United States ◽  
Time Series ◽  
The United States ◽  
Electoral Behavior ◽  
The Political ◽  
Pink Noise ◽  
Political Processes ◽  
Self Organized ◽  
Self Organized Criticality ◽  
Methodological Problems

The article is devoted to methodological problems associated with the application of the theory of self-organized criticality (SOC) to political processes. The author considers the dynamics of electoral preferences in the elections of US representatives in different states from 1958 to 2016. The purpose of the study is to verify whether the hypothesis of Japanese researchers I. Shimada and T. Koyama can be extended to the United States. The hypothesis is that the detection of pink noise (an attribute of SOC) in the time series of electoral activity can be a good indicator to identify the political and transformational potential of the society. The author shows that voters’ preferences changed in pink noise mode in some states. This gives reason to build assumptions about possible avalanche-like jumps in electoral behavior in the future.

scholarly journals Application of the Theory of Self-Organized Criticality to the Investigation of Historical Processes

SAGE Open ◽  
2016 ◽  
Vol 6 (4) ◽  
pp. 215824401668321 ◽  
Author(s):  
Dmitry S. Zhukov ◽  
Valery V. Kanishchev ◽  
Sergey K. Lyamin
Keyword(s):  
Social Transformation ◽  
Demographic Data ◽  
Data Series ◽  
Pink Noise ◽  
Self Organized ◽  
Historical Processes ◽  
Different Types ◽  
Self Organized Criticality ◽  
State Changes ◽  
Made In

The article demonstrates heuristic possibilities of the theory of self-organized criticality (SOC) in the investigation of historical processes. Key SOC concepts and ideas are explained. Specifically, tools that can be used for identifying pink noise, an attribute of a critical state, are described. The results of spectral analyses of historical demographic data (i.e., birth and death rates in Russian settlements in the 19th and 20th centuries) and historical market data (i.e., grain prices in regions of Russia in the 18th, 19th, and early 20th centuries) are presented. It was found that noise color in the data series differed substantially across different periods. Based on these observations, the assumption that a change in noise color can serve as an indicator of changes in historical processes was made. In some cases, this indicator can enable one to establish the time, speed, and direction of state changes in historical processes. Pink noise was discovered in the examined birth and death rate dynamics, as well as in the dynamics of prices across periods. The described methods have the potential to be used beyond the limits of the presently considered historical subjects, including in investigations of different types of social transformation.

scholarly journals Designing a dictionary of patterns of destructive utterances in the task of identifying destructive information influence

2020 ◽  
Vol 224 ◽  
pp. 03013
Author(s):  
E.P. Okhapkina ◽  
V.P. Okhapkin ◽  
A.O. Iskhakova ◽  
A.Y. Iskhakov
Keyword(s):  
Social Networks ◽  
Hong Kong ◽  
Large Scale ◽  
Modern Society ◽  
Subject Area ◽  
The Political ◽  
Control Actions ◽  
The World ◽  
The Subject ◽  
High Level

Due to the high level of tension in modern society, social networks are widely used for destructive management of the information space. This aspect of the use of social networks has become particularly important in the light of events taking place in the world (Hong Kong, Syria, France and Ukraine). According to statistics, about 50% of politicized active groups of social networks are subjects to targeted control actions aimed at spreading negative moods in the political sphere. The escalation of conflicts in society generates the most dangerous type of destructive information influence (DII) that require rapid, large-scale coordination of participants in order to attract new supporters and their organizations. Massive DII on the participants of social networks groups exacerbated the problem of promptly identifying the facts of influence, and created serious prerequisites for the development and improvement of methods and means of identifying DII in social networks. The relevance of this problem is due to the existence of a number of methodological and technological problems in the subject area under consideration, one of them is the lack of patterns of network messages containing elements of DII. In the study, the authors consider an approach to designing a dictionary of patterns of destructive utterances.

Problem behavior in autism spectrum disorders: A paradigmatic self-organized perspective of network structures

2019 ◽  
Vol 42 ◽  
Author(s):  
Lucio Tonello ◽  
Luca Giacobbi ◽  
Alberto Pettenon ◽  
Alessandro Scuotto ◽  
Massimo Cocchi ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Problem Behaviors ◽  
Autism Spectrum ◽  
The Self ◽  
Network Structures ◽  
Self Organized ◽  
Critical Equilibrium ◽  
Self Organized Criticality ◽  
Acute Agitation ◽  
Spectrum Disorders

AbstractAutism spectrum disorder (ASD) subjects can present temporary behaviors of acute agitation and aggressiveness, named problem behaviors. They have been shown to be consistent with the self-organized criticality (SOC), a model wherein occasionally occurring “catastrophic events” are necessary in order to maintain a self-organized “critical equilibrium.” The SOC can represent the psychopathology network structures and additionally suggests that they can be considered as self-organized systems.

Self-Organized Criticality in the Autowave Model of Speciation

2020 ◽  
Vol 75 (5) ◽  
pp. 398-408
Author(s):  
A. Y. Garaeva ◽  
A. E. Sidorova ◽  
N. T. Levashova ◽  
V. A. Tverdislov
Keyword(s):  
Self Organized ◽  
Self Organized Criticality

Modeling Extinction

2003 ◽  
Author(s):  
M. E. J. Newman ◽  
R. G. Palmer
Keyword(s):  
Evolutionary Biology ◽  
Large Scale ◽  
Competitive Exclusion ◽  
Applied Mathematics ◽  
Santa Fe ◽  
New Approach ◽  
Self Organized ◽  
Self Organized Criticality ◽  
Extinction Events ◽  
Mass Extinction Events

Developed after a meeting at the Santa Fe Institute on extinction modeling, this book comments critically on the various modeling approaches. In the last decade or so, scientists have started to examine a new approach to the patterns of evolution and extinction in the fossil record. This approach may be called "statistical paleontology," since it looks at large-scale patterns in the record and attempts to understand and model their average statistical features, rather than their detailed structure. Examples of the patterns these studies examine are the distribution of the sizes of mass extinction events over time, the distribution of species lifetimes, or the apparent increase in the number of species alive over the last half a billion years. In attempting to model these patterns, researchers have drawn on ideas not only from paleontology, but from evolutionary biology, ecology, physics, and applied mathematics, including fitness landscapes, competitive exclusion, interaction matrices, and self-organized criticality. A self-contained review of work in this field.

Parties versus Politicians Online

2018 ◽  
Author(s):  
Gideon Rahat ◽  
Ofer Kenig
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Consumption Rate ◽  
Party Leaders ◽  
Online Platforms ◽  
Online Presence ◽  
Facebook Pages

The chapter starts with a brief overview of the study of political personalization online, then focuses on its claims concerning the influence of online platforms on political personalization. It then analyses online personalization by comparing the online presence and activity of parties, party leaders, and prominent politicians from twenty-five democracies, and also the consumption rate of their Facebook pages. High variance at the national levels of personalization online demonstrates that personalization is not a necessary development of politics in the age of online social networks. Levels of online controlled media personalization do not seem to be generally high. Parties are present online more than individual politicians, and in most cases the amount of their output is higher. Online personalization in voters’ behavior—the consumption side—is, however, prevalent. Such personalization is evident in the amounts of the consumption of the outputs of party leaders, but not of other prominent politicians.

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