A Community Detection Approach for Smart-Phone Addiction Recognition

  title={A Community Detection Approach for Smart-Phone Addiction Recognition},
  author={Fabio Cozzolino and V. Moscato and A. Picariello and Giancarlo Sperl{\'i}},
In this paper, we present a novel approach for Smart-Phone Addiction recognition that leverages community detection algorithms from the Social Network Analysis (SNA) theory. Our basic idea is to model data concerning users’ behavior while they are using mobile devices as a particular social graph, discovering by means of SNA facilities patterns that better identify users with a high predisposition to smart phone addiction. Eventually, several experiments on a sample of users monitored for… Expand


A Development of Classification Model for Smartphone Addiction Recognition System Based on Smartphone Usage Data
  • 2
  • Highly Influential
Social networking on smartphones: When mobile phones become addictive
  • 427
  • Highly Influential
Recorded Behavior as a Valuable Resource for Diagnostics in Mobile Phone Addiction: Evidence from Psychoinformatics
  • 80
  • PDF
Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App).
  • 182
Cell-Phone Addiction: A Review
  • 219
Stress Recognition Using Wearable Sensors and Mobile Phones
  • 337
  • PDF
The SAMS: Smartphone Addiction Management System and Verification
  • 173
  • Highly Influential
  • PDF
Linking Loneliness, Shyness, Smartphone Addiction Symptoms, and Patterns of Smartphone Use to Social Capital
  • 241
  • Highly Influential
  • PDF
Characteristics of Excessive Cellular Phone Use in Korean Adolescents
  • 216
Development of a Mobile Phone Addiction Craving Scale and Its Validation in a Spanish Adult Population
  • 25