MODELING OF THE STOCHASTIC DYNAMICS OF CHANGES IN NODE STATES AND PERCOLATION TRANSITIONS IN SOCIAL NETWORKS WITH SELF-ORGANIZATION AND MEMORY

2021 ◽  
Keyword(s):  
Social Networks ◽  
Stochastic Dynamics ◽  
Self Organization

Maintaining behavior and ability to anticipation in youth in social networks

2021 ◽  
pp. 153-161
Author(s):  
Nataliya Zavatska ◽  
Vadim Zavatskyi
Keyword(s):  
Social Networks ◽  
Achievement Motivation ◽  
Dynamic Equilibrium ◽  
Positive Impact ◽  
Coping Behavior ◽  
Well Being ◽  
Self Organization ◽  
Life Strategies ◽  
Life Changes ◽  
Value Functional

The article proposes socio-psychological program for the development of anticipation of personality in terms of life changes, based on the principles of interconnection, continuous variability, dynamic equilibrium, irreversibility, relativity, self-organization, expansion, structuring, situational expediency, and differentiation in correctional development -, socio- and pathogenesis of the subjects. A significant increase in the level of personal-situational, spatial, general anticipatory ability in groups of young people and youth, increase in their internality of subjective control, general meaningfulness of life, focus on goals and effectiveness of life and the positive impact of these variables on prognostic competence and level of social maturity. According to the results of approbation and implementation of the program, the increase of attachment capacity is determined by its personal-situational and general components; dynamics of semantic systems at the content, structural, value, functional levels; constructive life strategies and internality, as well as the flexibility of coping behavior of the subjects in middle and late adulthood, which helped to increase their psychological well-being. The correctional and developmental work carried out within the program allowed to increase the level of anticipation ability in persons with manifestations of social maladaptation (according to the considered nosology), which ultimately affected the growth of achievement motivation, activity of life strategies; significant reduction of disintegration between value and accessibility in various spheres of life; multivariate forecasting and planning of events, in particular in the context of life changes, and to improve their social functioning in general. Key words: personality, mastery behavior, anticipation, social networks.

scholarly journals Creativity in temporal social networks: how divergent thinking is impacted by one’s choice of peers

2020 ◽  
Vol 17 (171) ◽  
pp. 20200667
Author(s):  
Raiyan Abdul Baten ◽  
Daryl Bagley ◽  
Ashely Tenesaca ◽  
Famous Clark ◽  
James P. Bagrow ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Large Scale ◽  
Divergent Thinking ◽  
Self Organization ◽  
Agent Based Simulation ◽  
Web Based ◽  
Agent Based ◽  
High Performing ◽  
Simulation Parameters

Creativity is viewed as one of the most important skills in the context of future-of-work. In this paper, we explore how the dynamic (self-organizing) nature of social networks impacts the fostering of creative ideas. We run six trials ( N = 288) of a web-based experiment involving divergent ideation tasks. We find that network connections gradually adapt to individual creative performances, as the participants predominantly seek to follow high-performing peers for creative inspirations. We unearth both opportunities and bottlenecks afforded by such self-organization. While exposure to high-performing peers is associated with better creative performances of the followers, we see a counter-effect that choosing to follow the same peers introduces semantic similarities in the followers’ ideas. We formulate an agent-based simulation model to capture these intuitions in a tractable manner, and experiment with corner cases of various simulation parameters to assess the generality of the findings. Our findings may help design large-scale interventions to improve the creative aptitude of people interacting in a social network.

scholarly journals “Next Flood Level of Communication: Social Networks”- A Review

2014 ◽  
Vol 42 ◽  
pp. 55-61
Author(s):  
Jozef Novak-Marcincin ◽  
Daniela Gîfu ◽  
Mirela Teodorescu
Keyword(s):  
Social Networks ◽  
Social Network ◽  
High Expression ◽  
Self Organization ◽  
End Of History ◽  
The Past ◽  
Francis Fukuyama ◽  
Flood Level ◽  
Self Knowledge ◽  
The End Of History

“Next Flood Level of Communication: Social Networks” (2013) published by Shaker Verlag, by Professor Ştefan Vlăduţescu from University of Craiova and Professor Ella Magdalena Ciuperca from National Academy of Intelligence “Mihai Viteazul” Bucuresti, is a book of intellectual elevation and high expression of ideas. The authors’ hypothesis and the nuclear idea of their book is that by their amplitude, by their performance, and by their self-generating, self-organization and self-improvement capabilities, social networks are the next flood level of communication. “The observational-wave of hypothesis is reinforced by an interrogative wave: what is next after next? If "End of Metaphysics" in Martin Heidegger is perfection of metaphysics, if the "End of History" in Francis Fukuyama is perfection of history, we believe that "next flood level" is neither the last level, nor the perfect level of communication” asserts the authors. Social network is not quite the perfection it is only the configured direction to untouchable perfection. Social network is the path to perfection in constant concern itself, in self-knowledge, and in self-superior capitalization of humanity as a whole, of humanity as a global, integrated and homogeneous and with obvious nuclei of heterogeneity macro-social network. However, next of the next is something, at the same time apparent and hidden, from the actual potential of the current concrete. The future always has its seeds in the past and the present.

scholarly journals Relating size and functionality in human social networks through complexity

2020 ◽  
Vol 117 (31) ◽  
pp. 18355-18358 ◽  
Author(s):  
B. J. West ◽  
G. F. Massari ◽  
G. Culbreth ◽  
R. Failla ◽  
M. Bologna ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Relationships ◽  
Collective Behavior ◽  
Theoretical Basis ◽  
Size Dependence ◽  
Collective Intelligence ◽  
Network Models ◽  
Direct Calculation ◽  
Self Organization ◽  
Scaling Properties

Extensive empirical evidence suggests that there is a maximal number of people with whom an individual can maintain stable social relationships (the Dunbar number). We argue that this arises as a consequence of a natural phase transition in the dynamic self-organization amongNindividuals within a social system. We present the calculated size dependence of the scaling properties of complex social network models to argue that this collective behavior is an enhanced form of collective intelligence. Direct calculation establishes that the complexity of social networks as measured by their scaling behavior is nonmonotonic, peaking around 150, thereby providing a theoretical basis for the value of the Dunbar number. Thus, we establish a theory-based bridge spanning the gap between sociology and psychology.

Self-organization versus Watchmaker: stochastic dynamics of cellular organization

2005 ◽  
Vol 386 (3) ◽  
pp. 247-254 ◽  
Author(s):  
Alexei Kurakin
Keyword(s):  
Experimental Evidence ◽  
Stochastic Dynamics ◽  
Molecular System ◽  
Living Cells ◽  
Integrated System ◽  
Self Organization ◽  
Cellular Organization ◽  
Time Dynamics ◽  
Design Charts ◽  
Growing Body

AbstractThe cell, as a molecular system, is often interpreted in terms of complex clockworks, and the design charts of mechanical and electrical engineering are assumed to provide adequate approximations for the description of cellular organization. However, a growing body of experimental evidence obtained through the observation and analysis of real-time dynamics of fluorescently labeled molecules inside living cells is increasingly inconsistent with the classico-mechanistic perception of the cell. An overview of recent studies favors an emerging alternative image of the cell as a dynamic integrated system of interconnected and interdependent metastable molecular organizations realized through stochasticity and self-organization.

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