Search Results for author:
Found 5 papers, 0 papers with code
Early identification of important patents through network centrality
One of the most challenging problems in technological forecasting is to identify as early as possible those technologies that have the potential to lead to radical changes in our society.
Ranking in evolving complex networks
Complex networks have emerged as a simple yet powerful framework to represent and analyze a wide range of complex systems.
Quantifying and suppressing ranking bias in a large citation network
It is widely recognized that citation counts for papers from different fields cannot be directly compared because different scientific fields adopt different citation practices.
The essential role of time in network-based recommendation
While aging has been identified as a key component in the growth of information networks, most research has focused on the networks' structural properties and neglected the often available time information.
Network-based recommendation algorithms: A review
Recommender systems are a vital tool that helps us to overcome the information overload problem.
