Unlock instant, AI-driven research and patent intelligence for your innovation.

Excavating method for group research direction based on binary network diagram hierarchical clustering

A hierarchical clustering and bipartite network technology, applied in data mining, text database clustering/classification, special data processing applications, etc., can solve the complex structure of academic relationship network, without considering the relationship between members in the team and other problems

Inactive Publication Date: 2016-12-14
CENT SOUTH UNIV
View PDF4 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this approach does not take into account the relationship between members of the team, the academic network [4] have a more complex structure

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
  • Excavating method for group research direction based on binary network diagram hierarchical clustering
  • Excavating method for group research direction based on binary network diagram hierarchical clustering
  • Excavating method for group research direction based on binary network diagram hierarchical clustering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0083] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0084] The present invention provides a team research direction mining method based on bipartite network graph hierarchical clustering, comprising the following steps:

[0085] Step 1: Establish the author's research interest representation model G=G(V,E) based on the author's keyword bipartite network;

[0086] Where V is a set composed of author nodes and keyword nodes, that is, V={V A UV K}, where V A set V for the author A ={A 1 ,A 2 ,...,A n ,...,A N}, V K is the keyword set V K =K={k 1 ,k 2 ,...,kj ,...,k M}, N and M are the total number of authors in the team and the total number of keywords in the academic papers of all authors in the team respectively; E is the set formed by the edges between author nodes and keyword nodes, that is, E={e( A n ,k j )|A n ∈V A ,k j ∈K,w nj > 0}; if author A n The keyword lis...

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 an excavating method for a group research direction based on binary network diagram hierarchical clustering. The method comprises the following steps: 1) establishing an author research interest representation model based on an author keyword binary network; 2) performing diagram clustering on the author research interest representation model: classifying the authors with small difference in concern extent of all keywords into a same author group, thereby acquiring an author group set; 3) performing overall hierarchical clustering, thereby acquiring the research interest of each author group set: merging the author group set which only contains one author into other author group sets with similar research interests, causing each author group set to contain more than two authors, and calculating and updating the research interest of each author group set, namely, the group research direction. According to the method provided by the invention, the academic research direction of the group can be effectively excavated and beneficial conditions are supplied for the development condition of the analysis and evaluation for the group research direction.

Description

technical field [0001] The invention relates to a team research direction mining method based on bipartite network diagram hierarchical clustering. Background technique [0002] In today's increasingly globalized world, teamwork is a very common phenomenon. With the cross-integration of multiple disciplines and the mutual penetration of science and technology and society, higher requirements are put forward for scientific research management and scientific research organization. Through resource sharing, collaborative cooperation and division of labor, the scientific and technological innovation team has greatly improved the efficiency of scientific and technological innovation. As an effective form of organization and management of scientific and technological research and development, the scientific and technological innovation team has gradually become an important model of scientific research and innovation activities [1] . In order to ensure the continuation of scient...

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
IPC IPC(8): G06F17/30
CPCG06F16/35G06F2216/03
Inventor 黄芳彭孟亚蔡颖龙军
Owner CENT SOUTH UNIV