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,