Identifying important scholarly literature at an early stage is vital to the academic research community and other stakeholders such as technology companies and government bodies …
J Hou, H Pan, T Guo, I Lee, X Kong, F Xia - Computer science review, 2019 - Elsevier
Science of science has become a popular topic that attracts great attentions from the research community. The development of data analytics technologies and the readily …
Y Dong, H Ma, Z Shen, K Wang - Proceedings of the 23rd ACM SIGKDD …, 2017 - dl.acm.org
Progress in science has advanced the development of human society across history, with dramatic revolutions shaped by information theory, genetic cloning, and artificial …
Young scholars in academia often seek to work in collaboration with top researchers in their field in pursuit of a successful career. While success in academia can be defined differently …
Z Liu, X Xie, L Chen - Proceedings of the 24th ACM SIGKDD …, 2018 - dl.acm.org
Collaborator Recommendation is a useful application in exploiting big academic data. However, existing works leave out the contextual restriction (ie, research topics) of people's …
A Daud, F Abbas, T Amjad, AA Alshdadi… - Future Generation …, 2021 - Elsevier
Topic modeling methods have usually been applied in the past to identify the research interests of researchers. Observing the scientific growth, the trending topics can be identified …
L Jian, J Li, H Liu - Data Mining and Knowledge Discovery, 2018 - Springer
The proliferation of networked data in various disciplines motivates a surge of research interests on network or graph mining. Among them, node classification is a typical learning …
This article elaborates how to identify and evaluate causal factors to improve scientific impact. Currently, analyzing scientific impact can be beneficial to various academic activities …
The mechanism why two strange scholars become collaborators has been extensively studied from the perspective of social network analysis. In academia, two scholars may …