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Information dissemination model based on multi-dimensional node influence in social networks
Haiming Wu
Northwest Agriculture and Forestry University
Corresponding Author
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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.
Keywords
Social networks, Node influence, Information dissemination, Epidemic model, Linear regression model
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CURRENT STATUS: Under Revision
Version 1
Posted 07 Jun, 2020
No community comments so far
Editorial decision: Major revision
On 30 Jul, 2020
Review #2 received
Received 29 Jul, 2020
Review #3 received
Received 28 Jul, 2020
Review #1 received
Received 27 Jul, 2020
Reviewer #3 agreed
On 02 Jul, 2020
Reviewer #2 agreed
On 01 Jul, 2020
Reviewers invited
Invitations sent on 30 Jun, 2020
Reviewer #1 agreed
On 30 Jun, 2020
Editor assigned
On 17 Jun, 2020
Editor invited
On 16 Jun, 2020
Submission checks complete
On 03 Jun, 2020
First submitted
On 02 Jun, 2020
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Subject Areas
Systems and Networking
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This preprint is under consideration at EURASIP Journal on Wireless Communications and Networking. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Information dissemination model based on multi-dimensional node influence in social networks
Haiming Wu
Northwest Agriculture and Forestry University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Revision
Version 1
Posted 07 Jun, 2020
No community comments so far
Editorial decision: Major revision
On 30 Jul, 2020
Review #2 received
Received 29 Jul, 2020
Review #3 received
Received 28 Jul, 2020
Review #1 received
Received 27 Jul, 2020
Reviewer #3 agreed
On 02 Jul, 2020
Reviewer #2 agreed
On 01 Jul, 2020
Reviewers invited
Invitations sent on 30 Jun, 2020
Reviewer #1 agreed
On 30 Jun, 2020
Editor assigned
On 17 Jun, 2020
Editor invited
On 16 Jun, 2020
Submission checks complete
On 03 Jun, 2020
First submitted
On 02 Jun, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Systems and Networking
License:
This work is licensed under a CC BY 4.0 License. Read Full License
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.