Efficient Algorithms towards Network Intervention

Proceedings of the ... International World-Wide Web Conference
Hui-Ju HungSy-Miin Chow

Abstract

Research suggests that social relationships have substantial impacts on individuals' health outcomes. Network intervention, through careful planning, can assist a network of users to build healthy relationships. However, most previous work is not designed to assist such planning by carefully examining and improving multiple network characteristics. In this paper, we propose and evaluate algorithms that facilitate network intervention planning through simultaneous optimization of network degree, closeness, betweenness, and local clustering coefficient, under scenarios involving Network Intervention with Limited Degradation - for Single target (NILD-S) and Network Intervention with Limited Degradation - for Multiple targets (NILD-M). We prove that NILD-S and NILD-M are NP-hard and cannot be approximated within any ratio in polynomial time unless P=NP. We propose the Candidate Re-selection with Preserved Dependency (CRPD) algorithm for NILD-S, and the Objective-aware Intervention edge Selection and Adjustment (OISA) algorithm for NILD-M. Various pruning strategies are designed to boost the efficiency of the proposed algorithms. Extensive experiments on various real social networks collected from public schools and Web and an empir...Continue Reading

Citations

May 4, 2020··Zhen LeiSy-Miin Chow

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Methods Mentioned

BETA
OISA

Software Mentioned

Cond
NILD
SIM
ALC
PONF
CRPD
Mat
BUM
EORE
ENUM

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