Social network user influence prediction method based on fused emotional tendency theme

A technology of emotional tendencies and prediction methods, applied in the field of social network analysis, can solve problems such as the inability to predict user influence and the inability to predict the magnitude of subject influence

Active Publication Date: 2020-12-08
HANGZHOU DIANZI UNIV
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The second is that it is impossible to predict the influence measurement of unobserved topics, that is, it is impossible to predict the influence of users on potential topics.

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
  • Social network user influence prediction method based on fused emotional tendency theme
  • Social network user influence prediction method based on fused emotional tendency theme
  • Social network user influence prediction method based on fused emotional tendency theme

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] The present invention will be described in detail below in conjunction with the accompanying drawings and implementation examples.

[0055] Based on the influence prediction method of social network users based on the fusion of emotional tendencies, the overall implementation process is as follows: figure 1 Shown:

[0056] Step A. Extract the emotional tendency of user u in the blog post, and establish the corresponding user's blog post information list L under the topic z of emotional tendency z (u); in particular:

[0057] According to the content of the blog post, use the sentiment analysis tool to identify its emotional tendency as positive or negative, and use the LDA method to extract the topic information, combine the emotional tendency and topic information into the emotional tendency topic, and establish the corresponding blog information according to the emotional tendency theme list; blog post information includes blog post content, likes, reposts, and comm...

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 social network user influence prediction method based on a fused emotional tendency theme. An influence calculation result of an existing method is general, and the actual influence of a user cannot be effectively reflected. The method comprises the steps of firstly, extracting theme information with different emotional tendencies of the user, and establishing a corresponding user blog article information list; secondly, establishing a user-emotional tendency theme influence matrix, and obtaining emotional tendency theme similarity, neighbor similarity and user similarity information; and finally, establishing a prediction model, and carrying out influence prediction on the unobserved emotional tendency theme. According to the method, emotional tendency is fused,and behavior user attributes are combined, so that the value of influence measurement is more accurate, the influence degree of one user can be better reflected, the influence of the user on an unobserved theme can be predicted, the method is not limited to a theme observed by historical data of the user, but various similar information is fused; the problem of data sparseness is solved, and the prediction result is more accurate.

Description

technical field [0001] The invention belongs to the technical field of social network analysis, and relates to a method for predicting the influence of social network users based on the fusion of emotional tendencies. Background technique [0002] Social network is an important part of information dissemination in the Internet age. With the popularization and development of computer technology, more and more users publish content and disseminate information on social network platforms such as Weibo and Twitter, and influence to other users. Analyzing this influence in social networks is of great significance for understanding the internal causes of social users' actions, the factors of information dissemination in the network, and predicting the scope of information dissemination in the network. [0003] Social network influence is reflected in the degree of influence that users have on other users. It refers to a phenomenon in which users' own social behaviors cause other ...

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 Applications(China)
IPC IPC(8): G06Q10/04G06Q50/00G06K9/62G06F17/16
CPCG06Q10/04G06Q50/01G06F17/16G06F18/22Y02D10/00
Inventor 梁颖王然徐向华李平
Owner HANGZHOU DIANZI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap