Optimizing Interventions for Changing HIV Risk Behaviors via Temporal Link Prediction in MSM Social Networks
Grant Data
Project Title
Optimizing Interventions for Changing HIV Risk Behaviors via Temporal Link Prediction in MSM Social Networks
Principal Investigator
Professor Zhang, Qingpeng
(Principal Investigator (PI))
Co-Investigator(s)
Li Xiaoming
(Co-Investigator)
Tang Weiming
(Co-Investigator)
Lau Tak Fai Joseph
(Co-Investigator)
Gao Siyang
(Co-Investigator)
Duration
36
Start Date
2022-01-01
Amount
537876
Conference Title
Optimizing Interventions for Changing HIV Risk Behaviors via Temporal Link Prediction in MSM Social Networks
Keywords
refers to proposal
Discipline
Operations ResearchOthers - Mechanical, Production and Industrial Engineering
Panel
Engineering (E)
HKU Project Code
11218221
Grant Type
General Research Fund (GRF) 2020/21
Funding Year
2021
Status
On-going
Objectives
1 To develop a novel link prediction model that predicts the social relations in dynamic social networks by capturing the multi-aspect latent, explicit, and network structure features with a unique tensor factorization-embedded deep learning approach.2 To develop a novel optimization algorithm that utilizes the prior knowledge about both the observed and predicted network structures to facilitate the search for optimal intervention strategies and ensure global convergence.3 To apply the proposed analytics methods in real-world HIV intervention studies in Hong Kong and Guangzhou (cohort recruited in preliminary studies).