Measuring large-scale social networks with high resolution

Abstract

This paper describes the deployment of a large-scale study designed to measure human interactions across a variety of communication channels, with high temporal resolution and spanning multiple years - the Copenhagen Networks Study. Specifically, we collect data on face-to-face interactions, telecommunication, social networks, location, and background information (personality, demographic, health, politics) for a densely connected population of 1,000 individuals, using state-of-art smartphones as social sensors. Here we provide an overview of the related work and describe the motivation and research agenda driving the study. Additionally the paper details the data-types measured, and the technical infrastructure in terms of both backend and phone software, as well as an outline of the deployment procedures. We document the participant privacy procedures and their underlying principles. The paper is concluded with early results from data analysis, illustrating the importance of multi-channel high-resolution approach to data collection.

References in corpus (14)

• Understanding individual human mobility patterns
• Structure and tie strengths in mobile communication networks
• Quantifying social group evolution
• Multirelational Organization of Large-scale Social Networks in an Online World
• Dynamics of person-to-person interactions from distributed RFID sensor networks
• Understanding the spreading patterns of mobile phone viruses
• Geographical dispersal of mobile communication networks
• Analysis of a large-scale weighted network of one-to-one human communication
• Collective response of human populations to large-scale emergencies
• Close encounters in a pediatric ward: measuring face-to-face proximity and mixing patterns with wearable sensors
• The Dynamics of a Mobile Phone Network
• Persistence and periodicity in a dynamic proximity network
• Effects of time window size and placement on the structure of aggregated networks
• Privacy in Sensor-Driven Human Data Collection: A Guide for Practitioners

Cited by in corpus (92)

• Statistical physics of vaccination
• Modern temporal network theory: A colloquium
• Contact patterns in a high school: a comparison between data collected using wearable sensors, contact diaries and friendship surveys
• COVID-19 lockdown induces disease-mitigating structural changes in mobility networks
• The Scales of Human Mobility
• Fundamental structures of dynamic social networks
• Contact patterns among high school students
• Mobile social media usage and academic performance
• Spreading processes in Multilayer Networks
• Can co-location be used as a proxy for face-to-face contacts?
• Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits
• Data on face-to-face contacts in an office building suggests a low-cost vaccination strategy based on community linkers
• Why are most COVID-19 infection curves linear?
• Class attendance, peer similarity, and academic performance in a large field study
• Tracking Human Mobility using WiFi signals
• Bursty Human Dynamics
• Using mobile phone sensor technology for mental health research: Integrated analysis to identify hidden challenges and potential solutions
• Estimating network structure from unreliable measurements
• The Strength of Friendship Ties in Proximity Sensor Data
• Multi-scale spatio-temporal analysis of human mobility
• From seconds to months: multi-scale dynamics of mobile telephone calls
• Absorbing and Shattered Fragmentation Transitions in Multilayer Coevolution
• Phone-based Metric as a Predictor for Basic Personality Traits
• Detecting sequences of system states in temporal networks
• SensibleSleep: A Bayesian Model for Learning Sleep Patterns from Smartphone Events
• Compensating for population sampling in simulations of epidemic spread on temporal contact networks
• Randomized reference models for temporal networks
• Measure of Node Similarity in Multilayer Networks
• The Role of Gender in Social Network Organization
• Constrained information flows in temporal networks reveal intermittent communities
• Understanding the interplay between social and spatial behaviour
• Tracking Urban Human Activity from Mobile Phone Calling Patterns
• Sampling of Temporal Networks: Methods and Biases
• Thresholding normally distributed data creates complex networks
• Contact-based model for epidemic spreading on temporal networks
• From temporal network data to the dynamics of social relationships
• Channel-Specific Daily Patterns in Mobile Phone Communication
• Model reproduces individual, group and collective dynamics of human contact networks
• Network Structure Inference, A Survey: Motivations, Methods, and Applications
• Validation of a smartphone app to map social networks of proximity
• Community detection and Social Network analysis based on the Italian wars of the 15th century
• Smartphone app to investigate the relationship between social connectivity and mental health
• Temporal Limits of Privacy in Human Behavior
• Enhancing the evaluation of pathogen transmission risk in a hospital by merging hand-hygiene compliance and contact data: a proof-of-concept study
• Robust modeling of human contact networks across different scales and proximity-sensing techniques
• How to estimate epidemic risk from incomplete contact diaries data?
• Objective measures for sentinel surveillance in network epidemiology
• Interevent time distributions of human multi-level activity in a virtual world
• Epidemic risk from friendship network data: an equivalence with a non-uniform sampling of contact networks
• Universal patterns in egocentric communication networks
• Estimating the epidemic risk using non-uniformly sampled contact data
• Correlated bursts in temporal networks slow down spreading
• What does Big Data tell? Sampling the social network by communication channels
• Centralized and decentralized isolation strategies and their impact on the COVID-19 pandemic dynamics
• PocketCare: Tracking the Flu with Mobile Phones using Partial Observations of Proximity and Symptoms
• Temporal Fidelity in Dynamic Social Networks
• The Multiple Random Dot Product Graph Model
• Are the different layers of a social network conveying the same information?
• Impact of spatially constrained sampling of temporal contact networks on the evaluation of the epidemic risk
• Active Self-Tracking of Subjective Experience with a One-Button Wearable: A Case Study in Military PTSD
• Modeling framework unifying contact and social networks
• Estimating the outcome of spreading processes on networks with incomplete information: a mesoscale approach
• Physical Proximity and Spreading in Dynamic Social Networks
• Optimization of coupling and global collapse in diffusively coupled socio-ecological resource exploitation networks
• Different patterns of social closeness observed in mobile phone communication
• An embedding-based distance for temporal graphs
• Correlations Between Human Mobility and Social Interaction Reveal General Activity Patterns
• Revealing latent factors of temporal networks for mesoscale intervention in epidemic spread
• Building connections: How scientists meet each other during a conference
• Temporal patterns of reciprocity in communication networks
• A survey of results on mobile phone datasets analysis
• Analysis of the competition among viral strains using a temporal interaction-driven contagion model
• Dose-response functions and surrogate models for exploring social contagion in the Copenhagen Networks Study
• Mobile Phone Data for Children on the Move: Challenges and Opportunities
• Impact of environmental changes on the dynamics of temporal networks
• Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences
• The Dynamics of Initiative in Communication Networks
• On the Digital Daily Cycles of Individuals
• Inferring Person-to-person Proximity Using WiFi Signals
• Designing an Interactive Visualization System for Monitoring Participant Compliance in a Large-Scale, Longitudinal Study
• Who Wants to Self-Track Anyway? Measuring the Relation between Self-Tracking Behavior and Personality Traits
• A Non-negative Matrix Factorization Based Method for Quantifying Rhythms of Activity and Sleep and Chronotypes Using Mobile Phone Data
• Skeleton coupling: a novel interlayer mapping of community evolution in temporal networks
• Incentivized Network Dynamics in Digital Job Recruitment
• Computational Human Dynamics
• Correlations of network trajectories
• Proximity in face-to-face interaction is associated with mobile phone communication
• Self-interested behaviour as a social norm
• Can Smartphone Co-locations Detect Friendship? It Depends How You Model It
• Recovering lost and absent information in temporal networks
• Measuring Adolescents' Well-being: Correspondence of Naive Digital Traces to Survey Data
• From centre to centres: polycentric structures in individual mobility