Modeling information dissemination and evolution in time-varying online social network based on thermal diffusion motion

2018 ◽  
Vol 510 ◽  
pp. 456-476 ◽  
Author(s):  
Xiaoyang Liu ◽  
Daobing He ◽  
Chao Liu
Keyword(s):  
Social Network ◽  
Thermal Diffusion ◽  
Information Dissemination ◽  
Online Social Network ◽  
Time Varying ◽  
Diffusion Motion

Information Propagation and Public Opinion Evolution Model Based on Artificial Neural Network in Online Social Network

2019 ◽  
Vol 63 (11) ◽  
pp. 1689-1703 ◽  
Author(s):  
Xiaoyang Liu ◽  
Daobing He
Keyword(s):  
Neural Network ◽  
Public Opinion ◽  
Social Network ◽  
Information Dissemination ◽  
Online Social Network ◽  
Information Propagation ◽  
Propagation Algorithm ◽  
Information Interaction ◽  
Opinion Evolution ◽  
Network Public Opinion

Abstract This paper proposes a new information dissemination and opinion evolution IPNN (Information Propagation Neural Network) model based on artificial neural network. The feedforward network, feedback network and dynamic evolution algorithms are designed and implemented. Firstly, according to the ‘six degrees separation’ theory of information dissemination, a seven-layer neural network underlying framework with input layer, propagation layer and termination layer is constructed; secondly, the information sharing and information interaction evolution process between nodes are described by using the event information forward propagation algorithm, opinion difference reverse propagation algorithm; finally, the external factors of online social network information dissemination is considered, the impact of external behavior patterns is measured by media public opinion guidance and network structure dynamic update operations. Simulation results show that the proposed new mathematical model reveals the relationship between the state of micro-network nodes and the evolution of macro-network public opinion. It accurately depicts the internal information interaction mechanism and diffusion mechanism in online social network. Furthermore, it reveals the process of network public opinion formation and the nature of public opinion explosion in online social network. It provides a new scientific method and research approach for the study of social network public opinion evolution.

scholarly journals The research of information dissemination model on online social network

2011 ◽  
Vol 60 (5) ◽  
pp. 050501
Author(s):  
Zhang Yan-Chao ◽  
Liu Yun ◽  
Zhang Hai-Feng ◽  
Cheng Hui ◽  
Xiong Fei
Keyword(s):  
Social Network ◽  
Information Dissemination ◽  
Online Social Network

Research on Spreading and Evolution of Opinion in Online Social Network

2013 ◽  
Vol 760-762 ◽  
pp. 1982-1986
Author(s):  
Chang Lun Zhang ◽  
Chao Li
Keyword(s):  
Social Network ◽  
Information Dissemination ◽  
External Factor ◽  
Online Social Network ◽  
Important Impact ◽  
The Social ◽  
Simulation Results ◽  
Opinion Evolution

the online social network has served as a critical medium for information dissemination, diffusion of epidemics and spread of behavior. In this paper, we proposed a model of opinion spreading and evolution based on online social network, where the social temperature is taken into account. First, the forms and features of the opinion spreading and evolution in social network are analyzed. Then a model of opinion spreading and evolution is established, in which social temperature as an external factor participate the opinion evolution of nodes and then affect the opinion spreading. Simulation results show that social temperature has an important impact on the opinion spreading and evolution.

scholarly journals Popularity Evaluation Model for Microbloggers Online Social Network

2014 ◽  
Vol 2014 ◽  
pp. 1-12
Author(s):  
Xia Zhang ◽  
Zhengyou Xia ◽  
Zhan Bu
Keyword(s):  
Electromagnetic Field ◽  
Social Network ◽  
Information Dissemination ◽  
User Behavior ◽  
Evaluation Model ◽  
Online Social Network ◽  
Research Field ◽  
User Behavior Analysis ◽  
Measure Methods ◽  
Commercial Advertising

Recently, microblogging is widely studied by the researchers in the domain of the online social network (OSN). How to evaluate the popularities of microblogging users is an important research field, which can be applied to commercial advertising, user behavior analysis and information dissemination, and so forth. Previous studies on the evaluation methods cannot effectively solve and accurately evaluate the popularities of the microbloggers. In this paper, we proposed an electromagnetic field theory based model to analyze the popularities of microbloggers. The concept of the source in microblogging field is first put forward, which is based on the concept of source in the electromagnetic field; then, one’s microblogging flux is calculated according to his/her behaviors (send or receive feedbacks) on the microblogging platform; finally, we used three methods to calculate one’s microblogging flux density, which can represent one’s popularity on the microblogging platform. In the experimental work, we evaluated our model using real microblogging data and selected the best one from the three popularity measure methods. We also compared our model with the classic PageRank algorithm; and the results show that our model is more effective and accurate to evaluate the popularities of the microbloggers.

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