Finding high-impact interdisciplinary users based on friend discipline distribution in academic social networking sites
Crossref DOI link: https://doi.org/10.1007/s11192-019-03067-2
Published Online: 2019-03-09
Published Print: 2019-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Wu, Xiaolan http://orcid.org/0000-0003-1869-1738
Zhang, Chengzhi
Funding for this research was provided by:
National Social Science Fund Project (17CTQ047)
Text and Data Mining valid from 2019-03-09
Article History
Received: 16 September 2018
First Online: 9 March 2019