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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Efficient Algorithms towards Network Intervention.

Hui-Ju Hung1, Chih-Ya Shen2, Wang-Chien Lee1

  • 1The Pennsylvania State Univ., USA.

Proceedings of the ... International World-Wide Web Conference. International WWW Conference
|July 21, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces new algorithms, CRPD and OISA, to optimize social network interventions for improved health outcomes. These methods effectively plan interventions by enhancing multiple network characteristics, outperforming existing approaches.

Keywords:
Network interventionoptimization algorithmssocial networks

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Area of Science:

  • Social network analysis
  • Health informatics
  • Algorithm design

Background:

  • Social relationships significantly impact health outcomes.
  • Network interventions can foster healthier relationships.
  • Existing methods lack comprehensive optimization of network characteristics for intervention planning.

Purpose of the Study:

  • To develop and evaluate algorithms for network intervention planning.
  • To simultaneously optimize network degree, closeness, betweenness, and local clustering coefficient.
  • To address scenarios of Network Intervention with Limited Degradation for single (NILD-S) and multiple targets (NILD-M).

Main Methods:

  • Proving the NP-hard nature of NILD-S and NILD-M.
  • Proposing the Candidate Re-selection with Preserved Dependency (CRPD) algorithm for NILD-S.
  • Proposing the Objective-aware Intervention edge Selection and Adjustment (OISA) algorithm for NILD-M.
  • Implementing pruning strategies to enhance algorithm efficiency.

Main Results:

  • CRPD and OISA algorithms were developed for network intervention planning.
  • NILD-S and NILD-M problems were proven to be NP-hard.
  • Extensive experiments demonstrated the superior efficiency and effectiveness of CRPD and OISA compared to baselines.
  • Algorithms were tested on real-world social networks from schools and the web.

Conclusions:

  • The proposed CRPD and OISA algorithms provide effective solutions for network intervention planning.
  • These algorithms enable simultaneous optimization of key network metrics for improved health outcomes.
  • The findings suggest a significant advancement in designing targeted social network interventions.