56 citations · 212 across the 8 of their papers we have counts for
8 papers
Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks
Taotao Cai, Shuiqiao Yang, Jianxin Li +5
User engagement has recently received significant attention in understanding the decay and expansion of communities in many online social networking platforms. When a user chooses…
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…
Traffic dynamics on dynamical networks: The connection between network lifetime and traffic congestion
Xianxia Yang, Cunlai Pu, Meichen Yan +2
For many power-limited networks, such as wireless sensor networks and mobile ad hoc networks, maximizing the network lifetime is the first concern in the related designing and main…
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…
Information transport in multiplex networks
Cunlai Pu, Siyuan Li, Xianxia Yang +1
In this paper, we study information transport in multiplex networks comprised of two coupled subnetworks. The upper subnetwork, called the logical layer, employs the shortest paths…
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…