21 citations · 30 across the 9 of their papers we have counts for
4 papers · 1 filter
Learning-based Link Prediction Methods Integrating Network Topological Features and Embedding Representations
Zi-Xuan Jin, Jun-Fan Yi, Ke-Ke Shang
Link prediction, as a frontier task in complex network topology analysis, aims to infer the existence of latent links between node pairs based on observed nodes and structural info…
Economy and Geography Shape the Collective Attention of Cities
Ke-ke Shang, Jiangli Zhu, Junfan Yi +5
Complex networks are commonly used to explore human behavior. However, previous studies largely overlooked the geographical and economic factors embedded in collective attention. T…
A novel metric for community detection
Ke-ke Shang, Michael Small, Yan Wang +2
Research into detection of dense communities has recently attracted increasing attention within network science, various metrics for detection of such communities have been propose…
The key to the weak-ties phenomenon
Ke-ke Shang, Michael Small, Di Yin +2
The study of the weak-ties phenomenon has a long and well documented history, research into the application of this social phenomenon has recently attracted increasing attention. H…