copenhagen: Copenhagen Network Study

In iglm: Regression under Interference in Connected Populations

Copenhagen Network Study

Description

A preprocessed dataset containing social ties, physical proximity, and nodal attributes for a subset of participants in the Copenhagen Networks Study. The object is provided as an iglm.data class.

Usage

data(copenhagen)

Format

The iglm.data provides the following information:

z_network

A E \times 2 integer matrix representing the undirected friendship network ($Z$).

x_attribute

A logical/binomial vector of length N indicating gender (1 for female, 0 for male).

y_attribute

A numeric vector of length N representing the log-transformed total call duration in minutes: y_i = \log(\frac{\text{seconds}}{60}).

neighborhood

A matrix defining the proximity-based constraint space. Pairs are included if their cumulative physical proximity exceeded 24 hours during the observation period.

fix_x

Boolean TRUE, indicating that the x attribute is treated as exogenous.

Details

The following preprocessing steps were carried out:

• Temporal Aggregation: Proximity data (Bluetooth scans) were aggregated into sessions. A session break was defined by any temporal gap exceeding 10 minutes.

• Recursive Pruning: A recursive filter removed actors with missing gender information or isolated actors in either the friendship (z_network) or proximity (neighborhood) networks,

References

Sapiezynski, P., Stopczynski, A., Lassen, D. D. and Lehmann, S. (2019), Interaction data from the Copenhagen Networks Study. Scientific Data 6(1), 315.

iglm documentation built on April 23, 2026, 5:07 p.m.