14 citations · 63 across the 27 of their papers we have counts for
6 papers · 1 filter
Network Inference and Influence Maximization from Samples
Zhijie Zhang, Wei Chen, Xiaoming Sun +1
Influence maximization is the task of selecting a small number of seed nodes in a social network to maximize the influence spread from these seeds. It has been widely investigated…
Higher order monotonicity and submodularity of influence in social networks: from local to global
Wei Chen, Qiang Li, Xiaohan Shan +2
Kempe, Kleinberg and Tardos (KKT) proposed the following conjecture about the general threshold model in social networks: local monotonicity and submodularity imply global monotoni…
Cumulative Activation in Social Networks
Xiaohan Shan, Wei Chen, Qiang Li +2
Most studies on influence maximization focus on one-shot propagation, i.e. the influence is propagated from seed users only once following a probabilistic diffusion model and users…
Communities in Preference Networks: Refined Axioms and Beyond
Gang Zeng, Yuyi Wang, Juhua Pu +3
Borgs et al. [2016] investigated essential requirements for communities in preference networks. They defined six axioms on community functions, i.e., community detection rules. Tho…
The Routing of Complex Contagion in Kleinberg's Small-World Networks
Wei Chen, Qiang Li, Xiaoming Sun +1
In Kleinberg's small-world network model, strong ties are modeled as deterministic edges in the underlying base grid and weak ties are modeled as random edges connecting remote nod…
Minimizing Seed Set Selection with Probabilistic Coverage Guarantee in a Social Network
Peng Zhang, Wei Chen, Xiaoming Sun +2
A topic propagating in a social network reaches its tipping point if the number of users discussing it in the network exceeds a critical threshold such that a wide cascade on the t…