A big data analytics framework for detecting user-level depression from social networks

作者：

Highlights：

• A big data framework that analyzes tremendous amount of social network data.

• Provides a reliable knowledge to clinicians and hospitals for depression analysis.

• User intention and friends influence play important roles in depression detection.

• Experiments on a massive dataset demonstrate the effectiveness of the system.

摘要

•A big data framework that analyzes tremendous amount of social network data.•Provides a reliable knowledge to clinicians and hospitals for depression analysis.•User intention and friends influence play important roles in depression detection.•Experiments on a massive dataset demonstrate the effectiveness of the system.

论文关键词：Depression detection,Social network,User intention modeling,Social influence analysis

论文评审过程：Received 4 October 2019, Revised 4 May 2020, Accepted 4 May 2020, Available online 24 May 2020, Version of Record 24 May 2020.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2020.102141