A Strategy for Co-authorship Recommendation: Analysis Using Scientific Data Repositories-Reference-Cited by-同舟云学术

A Strategy for Co-authorship Recommendation: Analysis Using Scientific Data Repositories

Published:2020 Issue: Volume: Page:167-178
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
Short-container-title:

Author:

Affonso Felipe,Dias Thiago Magela Rodrigues,de Oliveira Santiago Monique

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-50072-6_13

Reference27 articles.

1. Acar, E., Dunlavy, D.M., Kolda, T.G.: Link prediction on evolving data using matrix and tensor factorizations. In: ICDMW 2009. IEEE International Conference on Data Mining Workshops, 2009, pp. 262–269. IEEE (2009)

2. Adamic, L.A., Adar, E.: Friends and neighbors on the web. Soc. Netw. 25(3), 211–230 (2003)

3. Al Hasan, M., Zaki, M.J.: A survey of link prediction in social networks. In: Social Network Data Analytics, pp. 243–275. Springer (2011). https://doi.org/10.1007/978-1-4419-8462-3_9

4. Barabási, A.L., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509–512 (1999)

5. Dias, T.M.R., Moita, G.F.: A method for the identification of collaboration in large scientific databases. Em Questão 21(2), 140–161 (2015)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Publication classification prediction via citation attention fusion based on dynamic relations;Knowledge-Based Systems;2022-03

2. Indexes for Evaluating Research Groups: Challenges and Opportunities;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2021