56 citations · 128 across the 5 of their papers we have counts for
5 papers
Entropy-based link prediction in weighted networks
Zhongqi Xu, Cunlai Pu, Rajput Ramiz Sharafat +2
Information entropy has been proved to be an effective tool to quantify the structural importance of complex networks. In the previous work (Xu et al, 2016 \cite{xu2016}), we measu…
Multiple predator based capture process on complex networks
Rajput Ramiz Sharafat, Jie Li, Cunlai Pu +1
The predator/prey (capture) problem is a prototype of many network-related applications. We study the capture process on complex networks by considering multiple predators from mul…
Link prediction based on path entropy
Zhongqi Xu, Cunlai Pu, Jian Yang
Information theory has been taken as a prospective tool for quantifying the complexity of complex networks. In this paper, we first study the information entropy or uncertainty of…
Bounded link prediction for very large networks
Wei Cui, Cunlai Pu, Zhongqi Xu
Evaluation of link prediction methods is a hard task in very large complex networks because of the inhibitive computational cost. By setting a lower bound of the number of common n…
Traffic-driven SIR epidemic model on networks
Cunlai Pu, Siyuan Li, Jian Yang
We propose a novel SIR epidemic model which is driven by the transmission of infection packets in networks. Specifically, infected nodes generate and deliver infection packets caus…