V. V. Breer, D. A. Novikov, A. D. Rogatkin, “Micro- and macro-models of social networks. Part 1. Theory fundamentals”, Probl. Upr., 2014, no. 5, 28–33; Automation and Remote Control, 77:2 (2016), 313

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Problemy Upravleniya, 2014, Issue 5, Pages 28–33 (Mi pu875)

This article is cited in 10 scientific papers (total in 10 papers)

Control in the socio-economic systems

Micro- and macro-models of social networks. Part 1. Theory fundamentals

V. V. Breer^a, D. A. Novikov^b, A. D. Rogatkin^b

^a Moscow
^b Institute of Control Sciences, Russian Academy of Sciences, Moscow

English full-text Citations (10) Russian version article

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Abstract: The paper considers two approaches to construction and study of social networks models: the macro- and micro-descriptions. In accordance with the first approach the structure of connections in social network is averaged. The behavior of agents is considered in “average”. The second approach takes into account the structure of agents influence graph and their individual decision-making. A comparison of these two approaches on the example of the threshold model of collective behavior with one relative threshold is given.

Keywords: random graph, social network, consensus, collective behavior, thresholds.

English version:
Automation and Remote Control, 2016, Volume 77, Issue 2, Pages 313–320
DOI: https://doi.org/10.1134/S0005117916020077

Bibliographic databases:

Document Type: Article

UDC: 519.8+519.301

Language: Russian

Citation: V. V. Breer, D. A. Novikov, A. D. Rogatkin, “Micro- and macro-models of social networks. Part 1. Theory fundamentals”, Probl. Upr., 2014, no. 5, 28–33; Automation and Remote Control, 77:2 (2016), 313–320

Citation in format AMSBIB

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\issue 5

\pages 28--33

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\jour Automation and Remote Control

\yr 2016

\vol 77

\issue 2

\pages 313--320

\crossref{https://doi.org/10.1134/S0005117916020077}

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Linking options:

https://www.mathnet.ru/eng/pu875

https://www.mathnet.ru/eng/pu/v5/p28

Cycle of papers

Micro- and macro-models of social networks. Part 1. Theory fundamentals
V. V. Breer, D. A. Novikov, A. D. Rogatkin
Probl. Upr., 2014, 5, 28–33
Macro- and micromodels of social networks. Part 2. Identification and imitational experiments
A. V. Batov, V. V. Breer, D. A. Novikov, A. D. Rogatkin
Probl. Upr., 2014, 6, 45–51

This publication is cited in the following 10 articles:

V. V. Breer, “Porogovye modeli boevykh deistvii”, UBS, 84 (2020), 35–50
I. M. Azhmukhamedov, D. A. Machueva, “Mikro- i makromodeli protsessa informatsionnogo vzaimodeistviya v sotsialnykh sistemakh”, Vestn. Astrakhan. gos. tekhn. un-ta. Ser. upravlenie, vychisl. tekhn. inform., 2019, no. 1, 107–118
O. P. Kuznetsov, “Stationary ensembles in threshold networks”, Autom. Remote Control, 78:3 (2017), 475–489
A. D. Rogatkin, “Otsenka veroyatnosti redkikh sobytii v povedenii tolpy”, UBS, 63 (2016), 106–128
I. N. Barabanov, D. A. Novikov, “Dynamic models of mob excitation control in discrete time”, Autom. Remote Control, 77:10 (2016), 1792–1804
A. D. Rogatkin, “Large deviations in the social systems with threshold conform behavior”, Autom. Remote Control, 77:12 (2016), 2205–2211
V. V. Breer, D. A. Novikov, A. D. Rogatkin, “Modeli porogovogo kollektivnogo povedeniya v zadachakh upravleniya ekologo-ekonomicheskimi sistemami”, UBS, 55 (2015), 35–54
O. P. Kuznetsov, “Complex networks and activity spreading”, Autom. Remote Control, 76:12 (2015), 2091–2109
V. V. Breer, D. A. Novikov, A. D. Rogatkin, “Stochastic models of mob control”, Autom. Remote Control, 77:5 (2016), 895–913
A. V. Batov, V. V. Breer, D. A. Novikov, A. D. Rogatkin, “Macro- and micromodels of social networks. Part 2. Identification and imitational experiments”, Automation and Remote Control, 77:2 (2016), 321–331

Citing articles in Google Scholar: Russian citations, English citations
Related articles in Google Scholar: Russian articles, English articles

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Abstract page:	606
Full-text PDF :	112
References:	106
First page:	24

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