activity
20172022
most citedReal-Time Influence Maximization on Dynamic Social Streams

85 citations · 219 across the 14 of their papers we have counts for

collaborators
Showing cs.SIShow all

5 papers · 1 filter

cs.SI2022

Efficient Sampling Algorithms for Approximate Motif Counting in Temporal Graph Streams

Jingjing Wang, Yanhao Wang, Wenjun Jiang +2

A great variety of complex systems, from user interactions in communication networks to transactions in financial markets, can be modeled as temporal graphs consisting of a set of…

cs.SI2020

Efficient Sampling Algorithms for Approximate Temporal Motif Counting (Extended Version)

Jingjing Wang, Yanhao Wang, Wenjun Jiang +2

A great variety of complex systems ranging from user interactions in communication networks to transactions in financial markets can be modeled as temporal graphs, which consist of…

cs.SI2019

Semantic and Influence aware k-Representative Queries over Social Streams

Yanhao Wang, Yuchen Li, Kian-Lee Tan

Massive volumes of data continuously generated on social platforms have become an important information source for users. A primary method to obtain fresh and valuable information…

cs.SI2018★ 76 cited

Trajectory-driven Influential Billboard Placement

Ping Zhang, Zhifeng Bao, Yuchen Li +3

In this paper we propose and study the problem of trajectory-driven influential billboard placement: given a set of billboards (each with a location and a cost), a database of…

cs.SI2017★ 85 cited

Real-Time Influence Maximization on Dynamic Social Streams

Yanhao Wang, Qi Fan, Yuchen Li +1

Influence maximization (IM), which selects a set of users (called seeds) to maximize the influence spread over a social network, is a fundamental problem in a wide range of app…