Parallel Simulation of Community-Wide Information Spreading in Online Social Networks

2018 ◽  
pp. 136-148
Author(s):  
Sergey Kesarev ◽  
Oksana Severiukhina ◽  
Klavdiya Bochenina
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Parallel Simulation ◽  
Information Spreading

scholarly journals The Spreading of Information in Online Social Networks through Cellular Automata

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Yuda Wang ◽  
Gang Li
Keyword(s):  
Social Networks ◽  
Cellular Automata ◽  
Infection Rate ◽  
Online Social Networks ◽  
Information Dissemination ◽  
Epidemic Models ◽  
Computational Method ◽  
Online Information ◽  
Information Dynamics ◽  
Information Spreading

Epidemic dynamics in complex networks have been extensively studied. Due to the similarity between information and disease spreading, most studies on information dynamics use epidemic models and merely consider the characteristics of online social networks and individual’s cognitive. In this paper, we propose an online social networks information spreading (OSIS) model combining epidemic models and individual’s cognitive psychology. Then we design a cellular automata (CA) method to provide a computational method for OSIS. Finally, we use OSIS and CA to simulate the spreading and evolution of information in online social networks. The experimental results indicate that OSIS is effective. Firstly, individual’s cognition affects online information spreading. When infection rate is low, it prevents the spreading, whereas when infection rate is sufficiently high, it promotes transmission. Secondly, the explosion of online social network scale and the convenience of we-media greatly increase the ability of information dissemination. Lastly, the demise of information is affected by both time and heat decay rather than probability. We believe that these findings are in the right direction for perceiving information spreading in online social networks and useful for public management policymakers seeking to design efficient programs.

Analysis of User Interactions in Online Social Networks

2011 ◽  
Author(s):  
Seokchan Yun ◽  
Heungseok Do ◽  
Jinuk Jung ◽  
Song Mina ◽  
Namgoong Hyun ◽  
...  
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
User Interactions
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