144 citations · 185 across the 4 of their papers we have counts for
4 papers
IMRank: Influence Maximization via Finding Self-Consistent Ranking
Suqi Cheng, Hua-Wei Shen, Junming Huang +2
Influence maximization, fundamental for word-of-mouth marketing and viral marketing, aims to find a set of seed nodes maximizing influence spread on social network. Early methods m…
A universal assortativity measure for network analysis
Guo-Qing Zhang, Su-Qi Cheng, Guo-Qiang Zhang
Characterizing the connectivity tendency of a network is a fundamental problem in network science. The traditional and well-known assortativity coefficient is calculated on a per-n…
StaticGreedy: solving the scalability-accuracy dilemma in influence maximization
Suqi Cheng, Huawei Shen, Junming Huang +2
Influence maximization, defined as a problem of finding a set of seed nodes to trigger a maximized spread of influence, is crucial to viral marketing on social networks. For practi…
LANC: locality-aware network coding for better P2P traffic localization
Guoqiang Zhang, Suqi Cheng, Guoqing Zhang
As ISPs begin to cooperate to expose their network locality information as services, e.g., P4P, solutions based on locality information provision for P2P traffic localization will…