Social network false information control method based on clonal selection algorithm

A technology of clone selection algorithm and social network, which is applied in the field of social network false information control based on clone selection algorithm, and can solve the problems of reduced algorithm efficiency and accuracy

Inactive Publication Date: 2015-01-14
CHENGDU UNIV OF INFORMATION TECH
View PDF2 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0021] (3) If many high-quality detectors are generated after mutation, then many individuals in the parent population will be replaced, which will reduce the efficiency and accuracy of the algorithm

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 false information control method based on clonal selection algorithm
  • Social network false information control method based on clonal selection algorithm
  • Social network false information control method based on clonal selection algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0063] Apply this method to the false information control of a social network, such as figure 2 As shown, there are a total of 26 user nodes in the network, and λ = 10, ε = 50%, that is, at least 10 detectors must be generated through clonal proliferation and mutation, and finally the coverage of false information will be reduced to below 50%. The affinity discrimination between the information forwarded by these user nodes and the target antigen information ω 0 The relationship is shown in Table 1 below:

[0064] Table 1

[0065]

[0066] Such as figure 1 As shown, explain: figure 1 The process description in is a summary of the following content, and the text may not be exactly the same, but the content is consistent. This method is the social network false information control method based on the cloning selection algorithm of the present invention, comprising the following steps:

[0067] (1) The detector obtains two nodes with relatively large degrees in the socia...

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 false information control method based on a clonal selection algorithm. The method comprises the following steps that antigen and detectors are initialized; the detector selects nodes and calculates affinity; clonal selection is conducted; the detector is subjected to clonal proliferation; the detector is subjected to variation proliferation; the affinity of the detector subjected to variation proliferation is calculated again, and another detector is selected again; user nodes are selected again, and information similarity is calculated; assuming that Numt=Numc+Numv, when Numt>Lambada, the next step is carried out; the information coverage rate is calculated, and then the social network false information control process is completed. By means of the clonal selection information control method, varied network information can be effectively controlled; compared with a traditional social network false information control method, the efficiency and the accuracy of the method are both improved remarkably.

Description

technical field [0001] The invention relates to a method for controlling false information in a social network, in particular to a method for controlling false information in a social network based on a clone selection algorithm. Background technique [0002] Today, the development of social networks is in the ascendant. More than half of Internet users communicate and share information through social networks. However, while social networks bring us convenient information, their adverse effects cannot be ignored. In recent years, the proliferation of false information in social networks has become more and more serious, and governments at all levels, information supervision departments, and scientific researchers have also begun to pay more attention to it. Major online public opinion will not only affect people's normal life, but also bring a series of challenges to social stability and national security. It contains a lot of bad information such as violence, pornography,...

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): G06Q50/00G06N3/00
CPCG06N3/126G06Q50/01
Inventor 安俊秀靳宇倡曹书哲王鹏杨海涛
Owner CHENGDU UNIV OF INFORMATION TECH
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