37 citations · 45 across the 7 of their papers we have counts for
7 papers
Privacy-Preserving Community Detection for Locally Distributed Multiple Networks
Xiao Guo, Xiang Li, Xiangyu Chang +1
Modern multi-layer networks are commonly stored and analyzed in a local and distributed fashion because of the privacy, ownership, and communication costs. The literature on the mo…
Time-constrained Adaptive Influence Maximization
Guangmo Tong, Ruiqi Wang, Zheng Dong +1
The well-known influence maximization problem aims at maximizing the influence of one information cascade in a social network by selecting appropriate seed users prior to the diffu…
Multiplex Influence Maximization in Online Social Networks with Heterogeneous Diffusion Models
Alan Kuhnle, Md Abdul Alim, Xiang Li +2
Motivated by online social networks that are linked together through overlapping users, we study the influence maximization problem on a multiplex, with each layer endowed with its…
Vulnerability of D2D Communications from Interconnected Social Networks
Tianyi Pan, Md Abdul Alim, Xiang Li +1
In this paper, we study how rumors in Online Social Networks (OSNs) may impact the performance of device-to-device (D2D) communication. As D2D is a new technology, people may choos…
Popular Topics Spread Faster: New Dimension for Influence Propagation in Online Social Networks
Tianyi Pan, Alan Kuhnle, Xiang Li +1
Information can propagate among Online Social Network (OSN) users at a high speed, which makes the OSNs become important platforms for viral marketing. Although the viral marketing…
TipTop: (Almost) Exact Solutions for Influence Maximization in Billion-scale Networks
Xiang Li, J. David Smith, Thang N. Dinh +1
In this paper, we study the Cost-aware Target Viral Marketing (CTVM) problem, a generalization of Influence Maximization (IM). CTVM asks for the most cost-effective users to influe…