DocumentCode
3756563
Title
Evaluate the International Talents in Professional Social Networks Using the Entropy Weight Method
Author
Nan Jing;Jianxia Wang
Author_Institution
SHU-UTS SILC Bus. Sch., Shanghai Univ., Shanghai, China
fYear
2015
Firstpage
220
Lastpage
225
Abstract
Social network, especially international professional social network, not only gives users a chance to promote their own profiles, but also gives companies a platform to locate international talents. However, the social network has a great number of users across the countries, who generate huge amount of information everyday, which makes it very difficult for the hiring companies to find excellent international talents. In this context, this article bases on LinkedIn as the international professional social network and proposes a research model to effectively find international talents. Firstly, we establish an evaluation model using a group of evaluation indices based on the online professional profile, Secondly, we use the model to evaluate users´ LinkedIn profile on each index and the weights of each index through entropy weight method, Thirdly, it integrates these values and weights into one comprehensive score for the user´s profile, which can be used to rank the international talents and help the company recruiting, Finally, a group of LinkedIn users´ profiles are randomly selected and we have conducted experiments on these profiles to validate the research model.
Keywords
"Indexes","Companies","LinkedIn","Entropy","Education"
Publisher
ieee
Conference_Titel
Computational Science and Computational Intelligence (CSCI), 2015 International Conference on
Type
conf
DOI
10.1109/CSCI.2015.113
Filename
7424094
Link To Document