Scientific researcher evaluation method across social networks

A technology of social networking and evaluation methods, applied in data processing applications, resources, computing, etc., can solve the problems of conducting research, not fully integrating researcher information, and not finding cross-platform researcher evaluations.

Inactive Publication Date: 2016-01-20
INNER MONGOLIA UNIV OF SCI & TECH
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this technology is that it does not fully integrate the information of scientific researchers, but calculates and ranks them separately, and does not use unified index information to rank the academic level of scientific researchers
[0005] After searching, it is found that no one has conducted research on the evaluation of cross-platform scientific researchers in the prior art

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
  • Scientific researcher evaluation method across social networks
  • Scientific researcher evaluation method across social networks
  • Scientific researcher evaluation method across social networks

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing and embodiment:

[0045] A cross-social network scientific research personnel evaluation method, the specific steps are as follows:

[0046]1. Data collection: By capturing the data of major social networks at home and abroad and academic social network data, including user social network attributes and academic field attributes, as well as user relationships, etc. Social network attributes include: (1) The user's attention and being followed, such as how many people have followed, how many people have been followed, how many people follow each other, and the scientific research level of other people who follow the user, etc.; (2) The number and level of scientific research achievements such as articles, projects, and awards published by users on social networks, as well as how many other users' positive comments, negative comments, and forwarding operatio...

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

A scientific researcher evaluation method across social networks comprises a first step of data acquisition, in which target data in a target network are acquired through a web crawler and stored for later use; a second step of user identification, in which, the target data obtained in the first step of the same user are merged based on user information characteristics and data under the same user name are aggregated and stored for later use; a third step of data merge, in which the data under a single user name in the second step are subjected to fine classification, similar data are compared and overlapping information are removed; and a fourth step of analysis and calculation, in which the organized data under the user name are subjected to an analysis and calculation model to obtain academic reputation value of the user. The evaluation method establishes a new reference index for the existing scientific evaluation system, and can also provide a reliable basis for evaluating scientific research management staff.

Description

technical field [0001] The invention relates to a personnel evaluation method, in particular to a cross-social network evaluation method for scientific research personnel. Background technique [0002] The existing evaluation system for scientific research personnel is mainly carried out through peer review, H index, and journal impact factor, etc., peers cannot correctly judge the scientific research contribution of a certain scientific researcher. The H-index is only calculated by the number of citations of the article, and it does not explain the specific reasons why the citing literature cites the article. It is impossible to know whether it is positive or negative, and the statistics take a long time. The journal impact factor is based on the statistics of the average citations of all articles in a certain journal in the previous year, and it also takes a long time to publish. None of the above methods can provide the actual scientific research capabilities of scientif...

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): G06Q10/06
Inventor 顾瑞春王静宇马玲珑罗强黄丽媛
Owner INNER MONGOLIA UNIV OF SCI & 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