Research on the information dissemination mechanisms of weibo in scale-free networks

2019 ◽  
Vol 532 ◽  
pp. 121877 ◽  
Author(s):  
Huiqin Zhang ◽  
Yingfang Liu ◽  
Xudong Chen
Keyword(s):  
Information Dissemination ◽  
Scale Free ◽  
Scale Free Networks

An information dissemination model of product quality and safety based on scale-free networks

2014 ◽  
Vol 15 (3) ◽  
pp. 211-221 ◽  
Author(s):  
Li Wang ◽  
Chao Lei ◽  
Yingcheng Xu ◽  
Yuexiang Yang ◽  
Siqing Shan ◽  
...  
Keyword(s):  
Product Quality ◽  
Information Dissemination ◽  
Quality And Safety ◽  
Scale Free ◽  
Scale Free Networks ◽  
Product Quality And Safety

scholarly journals A process of rumour scotching on finite populations

2015 ◽  
Vol 2 (9) ◽  
pp. 150240 ◽  
Author(s):  
Guilherme Ferraz de Arruda ◽  
Elcio Lebensztayn ◽  
Francisco A. Rodrigues ◽  
Pablo Martín Rodríguez
Keyword(s):  
Monte Carlo ◽  
Random Graphs ◽  
Information Dissemination ◽  
Initial Conditions ◽  
Qualitative Behaviour ◽  
Analytical Treatment ◽  
Scale Free ◽  
Pairwise Interactions ◽  
Scale Free Networks ◽  
Optimal Information

Rumour spreading is a ubiquitous phenomenon in social and technological networks. Traditional models consider that the rumour is propagated by pairwise interactions between spreaders and ignorants. Only spreaders are active and may become stiflers after contacting spreaders or stiflers. Here we propose a competition-like model in which spreaders try to transmit an information, while stiflers are also active and try to scotch it. We study the influence of transmission/scotching rates and initial conditions on the qualitative behaviour of the process. An analytical treatment based on the theory of convergence of density-dependent Markov chains is developed to analyse how the final proportion of ignorants behaves asymptotically in a finite homogeneously mixing population. We perform Monte Carlo simulations in random graphs and scale-free networks and verify that the results obtained for homogeneously mixing populations can be approximated for random graphs, but are not suitable for scale-free networks. Furthermore, regarding the process on a heterogeneous mixing population, we obtain a set of differential equations that describes the time evolution of the probability that an individual is in each state. Our model can also be applied for studying systems in which informed agents try to stop the rumour propagation, or for describing related susceptible–infected–recovered systems. In addition, our results can be considered to develop optimal information dissemination strategies and approaches to control rumour propagation.

Modeling the Social Structure of Online Discussion Groups: Implications for Controlling Viral Marketing

2007 ◽  
Vol 22 (3) ◽  
pp. 27-41
Author(s):  
Alexandre Steyer ◽  
Renaud Garcia-Bardidia ◽  
Pascale Quester
Keyword(s):  
Social Structure ◽  
Information Dissemination ◽  
Online Discussion ◽  
Viral Marketing ◽  
Discussion Groups ◽  
The Internet ◽  
Scale Free ◽  
Forecasting Methods ◽  
The Social ◽  
Scale Free Networks

This research examines the process by which information diffuses within newsgroups on the Internet. Our results empirically demonstrate that these newsgroups are scale-free networks where the potential for information dissemination is important, albeit somewhat unpredictable. This leads us to reconsider the econometric foundations of forecasting methods typically used by marketers.

scholarly journals Dynamics analysis of an online gambling spreading model on scale-free networks

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Yu Kong ◽  
Tao Li ◽  
Yuanmei Wang ◽  
Xinming Cheng ◽  
He Wang ◽  
...  
Keyword(s):  
Network Topology ◽  
Negative Impact ◽  
Online Gambling ◽  
Basic Reproductive Number ◽  
Reproductive Number ◽  
Scale Free ◽  
Spreading Model ◽  
Spreading Dynamics ◽  
Scale Free Networks ◽  
Gambling Policy

AbstractNowadays, online gambling has a great negative impact on the society. In order to study the effect of people’s psychological factors, anti-gambling policy, and social network topology on online gambling dynamics, a new SHGD (susceptible–hesitator–gambler–disclaimer) online gambling spreading model is proposed on scale-free networks. The spreading dynamics of online gambling is studied. The basic reproductive number $R_{0}$ R 0 is got and analyzed. The basic reproductive number $R_{0}$ R 0 is related to anti-gambling policy and the network topology. Then, gambling-free equilibrium $E_{0}$ E 0 and gambling-prevailing equilibrium $E_{ +} $ E + are obtained. The global stability of $E_{0}$ E 0 is analyzed. The global attractivity of $E_{ +} $ E + and the persistence of online gambling phenomenon are studied. Finally, the theoretical results are verified by some simulations.

scholarly journals Effective gravitation path routing strategy on scale-free networks

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Jinlong Ma ◽  
Junfeng Zhang ◽  
Yongqiang Zhang
Keyword(s):  
Scale Free ◽  
Routing Strategy ◽  
Scale Free Networks
Sign in / Sign up

Export Citation Format

Share Document