graph TD
Demographics[Demographics CSV<br>Surveys/demographics_longitudinal_clean.csv]
Networks[Longitudinal Networks CSV<br>Data/network_surveys_longitudinal_clean.csv]
Proximity[Weekly Bluetooth CSVs<br>Weekly Data/week*.csv]
BTMap[Bluetooth Mapping Key<br>Metadata and Mappings/BT_egoid_mapping.csv]
Telemetry[Anonymized Telemetry CSVs<br>Data/Anonymized_Telemetry/]
Demographics -- "Linked by egoid" --> Networks
BTMap -- "Maps btname to egoid" --> Proximity
BTMap -- "Joins on egoid" --> Demographics
BTMap -- "Joins on egoid" --> Networks
Demographics -- "Linked by egoid / sender_id" --> Telemetry
Networks -- "Linked by sender & receiver to sender_id & receiver_id" --> Telemetry
style Demographics fill:#f9f,stroke:#333,stroke-width:2px
style Networks fill:#bbf,stroke:#333,stroke-width:2px
style Proximity fill:#fbf,stroke:#333,stroke-width:2px
style BTMap fill:#bfb,stroke:#333,stroke-width:2px
style Telemetry fill:#fdb,stroke:#333,stroke-width:2px
NetSense Study Codebook
A Multiwave Study of Social Networks, Demographics, and Bluetooth Proximity at Notre Dame
Introduction
Welcome to the NetSense Study Codebook. This is a modern, comprehensive documentation and exploration portal for the NetSense longitudinal study conducted at the University of Notre Dame.
The study tracks a cohort of students (Waves 1–8) from Summer 2011 to Winter 2014, capturing how their social networks, behaviors, attitudes, and physical proximity co-evolved over time.
Study Components
The NetSense dataset is organized into three primary streams:
- Longitudinal Surveys (surveys.qmd): Complete individual-level student demographics, personalities, academic performance (GPA), lifestyles, and preferences.
- Social Network Waves (networks.qmd): Wave-by-wave egocentric network nomination surveys capturing closeness, contact frequencies, emotional profiles, and social context of friendships.
- Bluetooth Proximity Logs (proximity.qmd): Weekly automated device-to-device proximity logs (Weeks 8–41) capturing continuous face-to-face physical interaction.
- Anonymized Telemetry Logs: Continuous logs of SMS, phone calls, emails, and address book contacts with out-of-network contacts securely hashed.
Data Schema & Entity Relationships
The diagram below shows how the various components of the study link together using standard identifiers.
Technical Setup
All files are programmatically prepared in highly accessible formats (.csv and .dta) using open-source, reproducible pipelines in R. The personal identifying information (PII) of all human subjects has been completely and programmatically scrubbed before inclusion in these public releases.