Data recommendation method based on citation network community discovery

A data recommendation and network community technology, applied in the fields of similarity measurement, community discovery, and citation network, can solve problems that have not been discovered in research and practical work

Inactive Publication Date: 2020-01-10
COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, so far, no relevant research and practical work has been found on the use of community discovery methods for data resource recommendation based on citation networks.

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
  • Data recommendation method based on citation network community discovery
  • Data recommendation method based on citation network community discovery
  • Data recommendation method based on citation network community discovery

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] In order to make the above-mentioned features and advantages of the present invention more comprehensible, the following specific embodiments are described in detail in conjunction with the accompanying drawings.

[0026] This embodiment discloses a data recommendation method based on citation network community discovery, such as figure 1 shown, including the following steps:

[0027] (1) First build a citation association network model, and then through the subsequent steps (2) to (4), input the data sets, authors, and papers that meet the specific relationship into the model, and output the recommendation results.

[0028] It should be pointed out that building a model is beneficial to data processing, but it is not a necessary means. Without building the model, the representation of data sets, papers, and author relationships and data recommendation can still be realized through the following steps. Building a model is only It is an implementation mode and should be...

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 provides a data recommendation method based on citation network community discovery, and the method comprises the following steps: constructing a citation network based on the cooperation relation between authors and the co-citation and coupling relation between papers; for the citation network, discovering a community network with similar or related research contents by utilizing amodular Louvain algorithm; based on the similarity between the paper and the data set, establishing association between the data set and the community network; and superposing and de-duplicating the paper nodes in the community network associated with the data set, and then performing data recommendation.

Description

technical field [0001] The invention relates to technical fields such as citation network, community discovery, similarity measurement, etc., and proposes a data recommendation method based on citation network community discovery. Background technique [0002] Scientific data is the input and output of scientific research activities and the core driving factor of scientific and technological innovation. The latest report "Data Age 2025" by the International Data Corporation (IDC) points out that the amount of global informatization data is rapidly growing at a rate of doubling every two years, and by 2020 the global informatization data storage volume will reach 47ZB. However, only 3% of potentially valuable data in the world has been developed and utilized, and even less data has undergone in-depth analysis and mining. Through further data statistical analysis of the Data Citation Index (DCI), it was found that by the end of 2018, only 11.83% of the data sets included in t...

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): G06F16/38G06F16/9536
CPCG06F16/382G06F16/9536
Inventor 李成赞杜一
Owner COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI
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