Community detection over feature-rich information networks: An eHealth case study

作者：

Highlights：

• We investigate both eating habits and physical activity for detecting users’ groups.

• A feature-rich information network has been designed to support different analytics.

• We design a novel community algorithm based on conductance measure.

• The proposed framework has been evaluated on both synthetic and real dataset.

摘要

•We investigate both eating habits and physical activity for detecting users’ groups.•A feature-rich information network has been designed to support different analytics.•We design a novel community algorithm based on conductance measure.•The proposed framework has been evaluated on both synthetic and real dataset.

论文关键词：Community detection,Social network analysis,Feature-rich information networks,Graph-based data model

论文评审过程：Received 26 July 2021, Revised 5 March 2022, Accepted 8 June 2022, Available online 17 June 2022, Version of Record 22 June 2022.

论文官网地址：https://doi.org/10.1016/j.is.2022.102092