Public authority control strategy for opinion evolution in social networks

2016 ◽  
Vol 26 (8) ◽  
pp. 083105 ◽  
Author(s):  
Xi Chen ◽  
Xi Xiong ◽  
Minghong Zhang ◽  
Wei Li
Keyword(s):  
Social Networks ◽  
Control Strategy ◽  
Public Authority ◽  
Authority Control ◽  
Opinion Evolution

scholarly journals Adaptive bridge control strategy for opinion evolution on social networks

2011 ◽  
Vol 21 (2) ◽  
pp. 025116 ◽  
Author(s):  
Cheng Qian ◽  
Jinde Cao ◽  
Jianquan Lu ◽  
Jürgen Kurths
Keyword(s):  
Social Networks ◽  
Control Strategy ◽  
Opinion Evolution

scholarly journals Influential Node Control Strategy for Opinion Evolution on Social Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Cheng Ju ◽  
Jinde Cao ◽  
Weiqi Zhang ◽  
Mengxin Ji
Keyword(s):  
Social Networks ◽  
Control Strategy ◽  
Small World ◽  
Opinion Dynamics ◽  
Node Degree ◽  
New Model ◽  
New Strategy ◽  
Influential Nodes ◽  
Basic Features ◽  
Opinion Evolution

We study opinion dynamics in social networks and present a new strategy to control the invasive opinion. A developed continuous-opinion evolution model is proposed to describe the mechanism of making decision in closed community. Two basic strategies of evolution are determined, and some basic features of our new model are analyzed. We study the different invasive strategies. It is shown via using Monte Carlo simulations that our new model shows different invulnerability with traditional model. Node degree and cohesion in invasive small-world community plays less significant role when the evolution of opinion is continuous rather than dichotomous. Using simulation, we find one kind of Influential Nodes that can affect the outcome dramatically, while these Influential Nodes are sensitive to their node degree and the evolution weight. Thus, we develop invasive control strategy based on these features.

Uncertain Opinion Evolution with Bounded Confidence Effects in Social Networks

2019 ◽  
Vol 28 (4) ◽  
pp. 494-509 ◽  
Author(s):  
Min Zhan ◽  
Haiming Liang ◽  
Zhaogang Ding ◽  
Yucheng Dong
Keyword(s):  
Social Networks ◽  
Bounded Confidence ◽  
Opinion Evolution

scholarly journals Digital toolset for the response of the public authority institutions to destructive and deviant newsworthy occurrences

2021 ◽  
pp. 48-63
Author(s):  
Artem Andreevich Kosorukov
Keyword(s):  
Social Networks ◽  
Management System ◽  
Public Authority ◽  
Incident Management ◽  
Time Interval ◽  
Call To Action ◽  
The Public ◽  
Online Platforms ◽  
The Social ◽  
The Subject

The subject of this research is the institutional, organizational and technical peculiarities of the functionality of the system of incident management as a digital toolset for the response of the Russian public authority institutions to destructive and deviant newsworthy occurrences in social networks, instant messengers and online platforms aimed at youth as most active digital citizens. The goal of this article lies in characterizing the current digital situation in Russia, and test the work of the incident management system from perspective of timely determination and processing by the institutional agencies of fake messages aimed or online posts that call to action aimed at young audience for the period from 2012 to 2021. The novelty consists in determining the total number of appeals or complains submitted by the citizens regarding the measures or complacence of the authorities, which have been processed by the incident management system of each of the 85 Regional Management Centers for 2021, as well as in using digital toolset of the incident management system applicable to the data array of the social networks, instant messengers and online platforms (messages that call minors to participate in unauthorized rallies) and deviant newsworthy occurrences (fake sociopolitical posts in social networks and instant messengers), and time interval of their processing by the institutional agencies.

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