Information dissemination model based on multi-dimensional node influence in social networks
Social network has gradually become the mainstream way for people to obtain and interact with information. The study on the law of information dissemination in social networks is of great significance to enterprise marketing, public opinion control and social recommendation. This paper puts forward a method that use multi-dimensional node influence and epidemic model to illustrate the causes and rules of information dissemination in social networks. Firstly, based on the multiple linear regression model, a measurement method of node influence is proposed from three dimensions: topology, user interaction behavior and information content. Then, taking the node influence as the cause of state transition, the information dissemination model based on the epidemic model is constructed, and the multidimensional factors affecting the information dissemination are analyzed. Meanwhile, the information dissemination trend in social networks is described.
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Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.
Posted 07 Jun, 2020
On 30 Jul, 2020
Received 29 Jul, 2020
Received 28 Jul, 2020
Received 27 Jul, 2020
On 02 Jul, 2020
On 01 Jul, 2020
Invitations sent on 30 Jun, 2020
On 30 Jun, 2020
On 17 Jun, 2020
On 16 Jun, 2020
On 03 Jun, 2020
On 02 Jun, 2020
Information dissemination model based on multi-dimensional node influence in social networks
Posted 07 Jun, 2020
On 30 Jul, 2020
Received 29 Jul, 2020
Received 28 Jul, 2020
Received 27 Jul, 2020
On 02 Jul, 2020
On 01 Jul, 2020
Invitations sent on 30 Jun, 2020
On 30 Jun, 2020
On 17 Jun, 2020
On 16 Jun, 2020
On 03 Jun, 2020
On 02 Jun, 2020
Social network has gradually become the mainstream way for people to obtain and interact with information. The study on the law of information dissemination in social networks is of great significance to enterprise marketing, public opinion control and social recommendation. This paper puts forward a method that use multi-dimensional node influence and epidemic model to illustrate the causes and rules of information dissemination in social networks. Firstly, based on the multiple linear regression model, a measurement method of node influence is proposed from three dimensions: topology, user interaction behavior and information content. Then, taking the node influence as the cause of state transition, the information dissemination model based on the epidemic model is constructed, and the multidimensional factors affecting the information dissemination are analyzed. Meanwhile, the information dissemination trend in social networks is described.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.