activity
20152023
most citedAdaptive Influence Maximization in Dynamic Social Networks

225 citations · 388 across the 21 of their papers we have counts for

collaborators

21 papers

cs.DS2023

A New Approximation Algorithm for Minimum-Weight --Connected Dominating Set

Jiao Zhou, Yingli Ran, Panos M. Pardalos +3

Consider a graph with nonnegative node weight. A vertex subset is called a CDS (connected dominating set) if every other node has at least one neighbor in the subset and the subset…

cs.NE2022

Evolution is Still Good: Theoretical Analysis of Evolutionary Algorithms on General Cover Problems

Yaoyao Zhang, Chaojie Zhu, Shaojie Tang +3

Theoretical studies on evolutionary algorithms have developed vigorously in recent years. Many such algorithms have theoretical guarantees in both running time and approximation ra…

cs.SI2022★ 12 cited

Composite Community-Aware Diversified Influence Maximization with Efficient Approximation

Jianxiong Guo, Qiufen Ni, Weili Wu +1

Influence Maximization (IM) is a famous topic in mobile networks and social computing, which aims at finding a small subset of users to maximize the influence spread through online…

cs.DM2022

Performance Guaranteed Evolutionary Algorithm for Minimum Connected Dominating Set

Chaojie Zhu, Yingli Ran, Zhao Zhang +1

A connected dominating set is a widely adopted model for the virtual backbone of a wireless sensor network. In this paper, we design an evolutionary algorithm for the minimum conne…

cs.GT2020★ 2 cited

Population Monotonic Allocation Schemes for Vertex Cover Games

Han Xiao, Qizhi Fang, Ding-Zhu Du

For vertex cover games (introduced by Deng et al., Math. Oper. Res., 24:751-766, 1999), we investigate population monotonic allocation schemes (introduced by Sprumont, Games Econ.…

cs.SI2019★ 5 cited

Beyond Uniform Reverse Sampling: A Hybrid Sampling Technique for Misinformation Prevention

Gunagmo Tong, Ding-Zhu Du

Online misinformation has been considered as one of the top global risks as it may cause serious consequences such as economic damages and public panic. The misinformation preventi…