TY - GEN
T1 - Evaluate the international talents in professional social networks using the entropy weight method
AU - Jing, Nan
AU - Wang, Jianxia
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/3/2
Y1 - 2016/3/2
N2 - 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.
AB - 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.
KW - Entropy weight method
KW - Evaluation model
KW - International talent
KW - Professional social networks
UR - http://www.scopus.com/inward/record.url?scp=85032077656&partnerID=8YFLogxK
U2 - 10.1109/CSCI.2015.113
DO - 10.1109/CSCI.2015.113
M3 - Conference Proceeding
AN - SCOPUS:85032077656
T3 - Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015
SP - 220
EP - 225
BT - Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015
A2 - Tran, Quoc-Nam
A2 - Deligiannidis, Leonidas
A2 - Arabnia, Hamid R.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Conference on Computational Science and Computational Intelligence, CSCI 2015
Y2 - 7 December 2015 through 9 December 2015
ER -