Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Information dissemination prediction system and method based on network structure and user psychological characteristics

A technology of information dissemination and network structure, which is applied in the field of online social network information dissemination prediction, and can solve problems such as dynamic changes in infection rates and changes in the willingness of social network users to participate in topics

Active Publication Date: 2020-11-17
CHONGQING UNIV OF POSTS & TELECOMM
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In addition, adopting a fixed infection rate in the SIR-based information dissemination model is tantamount to ignoring the fact that changes in the popularity of hot topics will lead to changes in the willingness of social network users to participate in topics, which in turn will lead to dynamic changes in the infection rate.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Information dissemination prediction system and method based on network structure and user psychological characteristics
  • Information dissemination prediction system and method based on network structure and user psychological characteristics
  • Information dissemination prediction system and method based on network structure and user psychological characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0030] The technical scheme that the present invention solves the problems of the technologies described above is:

[0031] An information dissemination prediction method based on an online social network, comprising the following points: a data acquisition module, a dynamic establishment module of user side relations, a dynamic establishment module of user attention evolution and a construction module of a hot topic propagation prediction method, and the data acquisition module uses Obtain user-related information on hot topics from the public API of online social media and perform data processing; the dynamic establishment module of user-edge relationship is used to extract user network structure attribu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a network structure and user mental trait-based information spreading prediction system and method, and belongs to the field of online social network analysis. The method comprises four parts of: obtaining a data source, establishing user side relationship dynamics, establishing user attention evolution dynamics, and constructing a hot topic spreading prediction model. Themethod comprises the following steps of: 1, obtaining a data source; 2, establishing user side relationship dynamics, and carrying out improvement on the user side relationship dynamics by adoption ofgraph evolution game by taking a heterogeneous mean field theory as basis, so as to ensure that the user side relationship dynamics has real applicability; 3, establishing user attention evolution dynamics, defining an earning matrix and an information popularity, and constructing a user attention evolution dynamic mechanism according to evolution game; and 4, constructing an information spreading prediction method. Through combining the user side relationship dynamics and the user attention evolution dynamics with the traditional epidemic disease model, a new information spreading predictionmethod is constructed. The system and method are capable of effectively predicting the dynamic situations of information spreading in complicated social networks, and revealing influences, on information spreading, of different dynamic elements.

Description

technical field [0001] The invention belongs to the intersection field of online social network analysis and complex network, relates to online social network information dissemination prediction, and analyzes the impact of user psychological characteristics and heterogeneity of network structure on information dissemination. Background technique [0002] In recent years, the rapid development of online social networks has provided us with massive real data on the diffusion of information in social networks, which has brought new opportunities for the study of complex network communication dynamics. The research on these real data has great application value, and has attracted many scholars from complex network, sociology, computer science and other fields, thus making social network information dissemination one of the hot areas of current research and exploration. Through the research on the dynamics of information dissemination in social networks, the results can be furth...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/10G06Q50/00
CPCG06Q50/01G16Z99/00
Inventor 肖云鹏宋晨光李茜刘宴兵
Owner CHONGQING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products