A model for malware propagation in scale-free networks based on rumor spreading process

2016 ◽  
Vol 108 ◽  
pp. 97-107 ◽  
Author(s):  
Soodeh Hosseini ◽  
Mohammad Abdollahi Azgomi
Keyword(s):  
Spreading Process ◽  
Rumor Spreading ◽  
Scale Free ◽  
Malware Propagation ◽  
Scale Free Networks

Dynamics of a rumor-spreading model with diversity of configurations in scale-free networks

2015 ◽  
Vol 28 (18) ◽  
pp. 2255-2274 ◽  
Author(s):  
Soodeh Hosseini ◽  
Mohammad Abdollahi Azgomi ◽  
Adel Torkaman Rahmani
Keyword(s):  
Rumor Spreading ◽  
Scale Free ◽  
Spreading Model ◽  
Scale Free Networks

An SIS Epidemic Model with Feedback Mechanism in Scale-Free Networks

2011 ◽  
Vol 204-210 ◽  
pp. 354-358 ◽  
Author(s):  
Guang Wu Gong ◽  
Da Min Zhang
Keyword(s):  
Epidemic Model ◽  
Feedback Mechanism ◽  
Epidemic Spreading ◽  
Epidemic Threshold ◽  
Spreading Process ◽  
Scale Free ◽  
Sis Epidemic Model ◽  
Scale Free Networks ◽  
Controlling Measures ◽  
Sis Epidemic

A new susceptible-infected-susceptible model with feedback mechanism is proposed. The dynamic behavior of the epidemic model with feedback mechanism in scale-free networks is researched by theoretical analysis and computer simulation. The results show that feedback mechanism can reduce the stable infective ratio of system; however, it can not influence the epidemic threshold of system. The results can help us to understand rightly epidemic spreading process in reality networks and guide people to design effective epidemic preventive and controlling measures when epidemic outbreaks.

scholarly journals On ISRC Rumor Spreading Model for Scale-Free Networks with Self-Purification Mechanism

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Zijun Wang ◽  
An Chen
Keyword(s):  
Numerical Simulations ◽  
Model Parameters ◽  
Rumor Spreading ◽  
Scale Free ◽  
Spreading Model ◽  
Scale Free Networks ◽  
Simulation Results ◽  
Key Indicators ◽  
The Impact

At present, the feasibility of using self-purification mechanism to inhibit rumor spreading has been confirmed by studies from different perspectives. This paper improves the classical rumor spreading models with self-purification mechanism, analyzes the correlation between spreading threshold in the model and its self-purification level theoretically, and conducts numerical simulations to study the impact of the changes of model parameters on key indicators in the process of rumor spreading. The simulation results show that changes of model parameters, including self-purification level and forgetting rate, exert significant influences on rumor spreading exactly.

Agent-based simulation of the dynamics of malware propagation in scale-free networks

SIMULATION ◽  
2016 ◽  
Vol 92 (7) ◽  
pp. 709-722 ◽  
Author(s):  
Soodeh Hosseini ◽  
Mohammad Abdollahi Azgomi ◽  
Adel Rahmani Torkaman
Keyword(s):  
Agent Based Simulation ◽  
Agent Based ◽  
Scale Free ◽  
Malware Propagation ◽  
Scale Free Networks

The influence of positive news on rumor spreading in social networks with scale-free characteristics

2018 ◽  
Vol 29 (09) ◽  
pp. 1850078 ◽  
Author(s):  
Yongcong Luo ◽  
Jing Ma
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Transition Probability ◽  
Probability Method ◽  
Spreading Process ◽  
Rumor Spreading ◽  
Scale Free ◽  
Spreading Model ◽  
Text Model ◽  
The Impact

We explore the impact of positive news on rumor spreading in this paper. It is a fact that most of the rumors related to hot events or emergencies can be propagated rapidly on the hotbed of online social networks. In Chinese words, it is better to divert rather than block. Therefore, we propose the spreading model [Formula: see text] in which positive news is a good factor to guide rumor spreading. Based on transition probability method, we have got the spreading parameters of the [Formula: see text] model by running the rumor spreading process in online social networks with scale-free characteristics. The results give a good proof that improving the activity of the positive news spreader [Formula: see text] derived from the [Formula: see text] model can guide and restrain the spreading speed of rumor smoothly.

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