271 citations · 574 across the 44 of their papers we have counts for
7 papers · 1 filter
FastCover: An Unsupervised Learning Framework for Multi-Hop Influence Maximization in Social Networks
Runbo Ni, Xueyan Li, Fangqi Li +2
Finding influential users in social networks is a fundamental problem with many possible useful applications. Viewing the social network as a graph, the influence of a set of users…
Neighborhood Matters: Influence Maximization in Social Networks with Limited Access
Chen Feng, Luoyi Fu, Bo Jiang +4
Influence maximization (IM) aims at maximizing the spread of influence by offering discounts to influential users (called seeding). In many applications, due to user's privacy conc…
A Hierarchical Optimizer for Recommendation System Based on Shortest Path Algorithm
Jiacheng Dai, Zhifeng Jia, Xiaofeng Gao +1
Top-k Nearest Geosocial Keyword (T-kNGK) query on geosocial network is defined to give users k recommendations based on some keywords and designated spatial range, and can be reali…
NETR-Tree: An Eifficient Framework for Social-Based Time-Aware Spatial Keyword Query
Xiuqi Huang, Yuanning Gao, Xiaofeng Gao +1
The development of global positioning system stimulates the popularity of location-based social network (LBSN) services. With a large volume of data containing locations, texts, ch…
Evolving Influence Maximization in Evolving Networks
Xudong Wu, Luoyi Fu, Zixin Zhang +3
Influence Maximization (IM) aims to maximize the number of people that become aware of a product by finding the `best' set of `seed' users to initiate the product advertisement. Un…
De-anonymizing Social Networks with Overlapping Community Structure
Luoyi Fu, Xinyu Wu, Zhongzhao Hu +2
The advent of social networks poses severe threats on user privacy as adversaries can de-anonymize users' identities by mapping them to correlated cross-domain networks. Without gr…
PRINCE: Privacy-Preserving Mechanisms for Influence Diffusion in Online Social Networks
Ruihao Zhu, Dongxin Liu, Fan Wu +1
This paper has been withdrawn by the author due to a crucial sign error in equation 1. With the advance of online social networks, there has been extensive research on how to sprea…