scholarly journals A Bio-Inspired Defensive Rumor Confinement Strategy in Online Social Networks

2021 ◽  
Vol 33 (1) ◽  
pp. 47-70
Author(s):  
Santhoshkumar Srinivasan ◽  
Dhinesh Babu L. D.
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Propagation Model ◽  
Information Propagation ◽  
Control Approach ◽  
Rumor Propagation ◽  
Immunization Strategies ◽  
New Information ◽  
The Individual ◽  
Rumor Control

Online social networks (OSNs) are used to connect people and propagate information around the globe. Along with information propagation, rumors also penetrate across the OSNs in a massive order. Controlling the rumor propagation is utmost important to reduce the damage it causes to society. Educating the individual participants of OSNs is one of the effective ways to control the rumor faster. To educate people in OSNs, this paper proposes a defensive rumor control approach that spreads anti-rumors by the inspiration from the immunization strategies of social insects. In this approach, a new information propagation model is defined to study the defensive nature of true information against rumors. Then, an anti-rumor propagation method with a set of influential spreaders is employed to defend against the rumor. The proposed approach is compared with the existing rumor containment approaches and the results indicate that the proposed approach works well in controlling the rumors.

Modelling multi-topic information propagation in online social networks based on resource competition

2016 ◽  
Vol 43 (3) ◽  
pp. 342-355 ◽  
Author(s):  
Liyuan Sun ◽  
Yadong Zhou ◽  
Xiaohong Guan
Keyword(s):  
Social Networks ◽  
Network Structure ◽  
Online Social Networks ◽  
Resource Competition ◽  
Propagation Model ◽  
Small Scale ◽  
Model Parameters ◽  
Information Propagation ◽  
Practical Applications ◽  
The Impact

Understanding information propagation in online social networks is important in many practical applications and is of great interest to many researchers. The challenge with the existing propagation models lies in the requirement of complete network structure, topic-dependent model parameters and topic isolated spread assumption, etc. In this paper, we study the characteristics of multi-topic information propagation based on the data collected from Sina Weibo, one of the most popular microblogging services in China. We find that the daily total amount of user resources is finite and users’ attention transfers from one topic to another. This shows evidence on the competitions between multiple dynamical topics. According to these empirical observations, we develop a competition-based multi-topic information propagation model without social network structure. This model is built based on general mechanisms of resource competitions, i.e. attracting and distracting users’ attention, and considers the interactions of multiple topics. Simulation results show that the model can effectively produce topics with temporal popularity similar to the real data. The impact of model parameters is also analysed. It is found that topic arrival rate reflects the strength of competitions, and topic fitness is significant in modelling the small scale topic propagation.

scholarly journals Information Propagation in Online Social Network Based on Human Dynamics

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Qiang Yan ◽  
Lianren Wu ◽  
Chao Liu ◽  
Xiye Li
Keyword(s):  
Social Networks ◽  
Human Behavior ◽  
Online Social Networks ◽  
Online Social Network ◽  
Activity Patterns ◽  
Propagation Model ◽  
Limited Attention ◽  
Information Propagation ◽  
Human Dynamics ◽  
The Impact

We investigate the impact of human dynamics on the information propagation in online social networks. First, statistical properties of the human behavior are studied using the data from “Sina Microblog,” which is one of the most popular online social networks in China. We find that human activity patterns are heterogeneous and bursty and are often described by a power-law interevent time distributionP(τ)~τ−α. Second, we proposed an extended Susceptible-Infected (SI) propagation model to incorporate bursty and limited attention. We unveil how bursty human behavior and limited attention affect the information propagation in online social networks. The result in this paper can be useful for optimizing or controlling information propagation in online social networks.

Role of Privacy and Trust in Mobile Business Social Networks

2012 ◽  
pp. 287-313
Author(s):  
István Mezgár ◽  
Sonja Grabner-Kräuter
Keyword(s):  
Social Networks ◽  
Information And Communication Technologies ◽  
Online Social Networks ◽  
Virtual Community ◽  
Personal Data ◽  
Mobile Business ◽  
New Information ◽  
Information And Communication ◽  
The Individual ◽  
High Level

New information and communication technologies and their integration extend the possibilities for people for high level collaboration independently where they are on the globe. Various groups of people can come together according to their private or business interest forming a virtual community (VC) through online social networks. Beside the positive effects of this technical breakthrough there are dangerous sides of using these high level networked systems; the personal data of the individuals can be used by other persons especially when the individual doesn’t take care of them. So, privacy has now an increasingly important role in social networked environments. As trust is the base of the society there is close connection between trust and privacy. The goal of this paper is to present the role and relationships between trust and privacy in mobile (business) social networks, and to introduce the possible types of privacy threats and countermeasures in case of online social networks. A short summary on future trends in mobile social networks is also presented.

scholarly journals C-SIW Rumor Propagation Model with Variable Propagation Rate and Perception Mechanism in Social Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Liqing Qiu ◽  
Shuqi Liu
Keyword(s):  
Social Networks ◽  
Propagation Rate ◽  
Propagation Model ◽  
Experimental Simulation ◽  
Field Equations ◽  
Dynamic Propagation ◽  
Rumor Propagation ◽  
Key Points ◽  
State Changes ◽  
The Individual

The propagation of rumor has become a common phenomenon in social networks. Studying the dynamic propagation of rumor can help locate the key points to control rumor propagation. To further research the internal motivation of state transition, a corrector-ignorant-spreader-weakener (C-SIW) model is proposed in this paper. When the individual changes state to transmit rumor, the neighbor may have a significant impact on rumor propagation. Considering the point, this paper constructs a function to describe the propagation rate, which relates to the state of neighbors and the reputation of the spreader. In addition, perception from life also can cause individual state changes. Based on the above fact, the links from the spreader and the weakener to the corrector are added to describe the perception mechanism. Then, combining the derived average field equations, the steady state of the model is analyzed and verified in experimental simulation. Moreover, the experimental results on different networks show that the perception mechanism reduces the rumor influence. Besides, the variable propagation rate can position the fast-growing stage of rumor propagation more accurately and facilitate the control of rumor propagation.

scholarly journals ECRModel: An Elastic Collision-Based Rumor-Propagation Model in Online Social Networks

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 6105-6120 ◽  
Author(s):  
Zhenhua Tan ◽  
Jingyu Ning ◽  
Yuan Liu ◽  
Xingwei Wang ◽  
Guangming Yang ◽  
...  
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Elastic Collision ◽  
Propagation Model ◽  
Rumor Propagation
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