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

Method and system for processing social network expert information based on expert value progation algorithm

An information processing system and social network technology, applied in the field of social network information processing, can solve the problem of ignoring the importance of social network relationships

Inactive Publication Date: 2007-11-21
TSINGHUA UNIV
View PDF0 Cites 44 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional methods often ignore the importance of social network relationships. We believe that it is very important to use the relationship between people in social networks to discover experts.

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
  • Method and system for processing social network expert information based on expert value progation algorithm
  • Method and system for processing social network expert information based on expert value progation algorithm
  • Method and system for processing social network expert information based on expert value progation algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0121] Using steps 1-4 of the present invention, a researcher's social network is created, and experts in a certain field are found in the social network to verify the invention of this paper. All experiments of the present invention are realized by Java programming, and run on servers configured as dual-core Intel Xeon 3.0GHz processors and 2GB internal memory.

[0122] (1) Modeling of researchers' social network

[0123] At present, the construction of our researchers' social network mainly includes two parts of information: each researcher has his own personal description information (including position, unit, research interest, paper title and corresponding conference published); There is a "same author" relationship, that is, when two people have published an article together, they will establish a "same author" relationship.

[0124] (2) Generation of researchers' social network

[0125] Through the data analysis of a specific academic paper website (http: / / www.informa...

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 method comprises: establishing a society relation network graph by using society relation network generation server; said graph is described by using personal description information, human relation, relation type and the mapping function between human relation and relation type; the expert value calculation server reads the information from the database server, and according to the weighting, analyzes the correlation between the key word, the person description information and the thesis information to get a initiative expert value; then according to the importance and osculation of human relation, constructs a propagator matrix; according to the initiative expert value and the propagator matrix, makes iteration to get the expert value of all experts; after normalization, arranging it in descending order; outputs it to the Web server to provide the option for user.

Description

technical field [0001] The invention belongs to the field of social network information processing, in particular to social network search under the Internet. Background technique [0002] With the rapid development of the Internet and the transition from Web1.0 to Web2.0, social networking has gradually become a very important Web application. For example, we can use social networks to find jobs, find employees, find friends with common interests, and find business partners. [0003] Web-based social networks provide us with a large number of data sources, which are helpful for some data mining and knowledge discovery on this basis. These researches have great challenges in the Web2.0 era. For example, trust chain mining, personalized recommendation and expert discovery, etc. [0004] The goal of expert information processing is to automatically discover experts with knowledge in a specific domain. By finding experts, we can quickly get answers to some professional quest...

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): H04L12/54H04L12/28G06F17/30H04L29/08
Inventor 唐杰张静李涓子
Owner TSINGHUA UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com