R: Temporal Auditing of Social Interaction Networks

# Temporal Auditing of Social Interaction Networks

## Documentation for package ‘socialdrift’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

as_social_events | Coerce a data frame into a standardized social event table
audit_group_disparities | Audit network metrics by user group over time
build_graph_series | Build a time series of graph snapshots
build_graph_snapshot | Build a weighted graph snapshot from event data
classify_user_roles | Classify structural roles of users in a graph
clustering_ts | Compute global clustering coefficient over time
community_drift | Compute community drift between adjacent time periods
community_fragmentation_index | Community Fragmentation Index (CFI)
creator_concentration | Measure concentration of incoming attention over time
degree_inequality_ts | Compute degree inequality over time
detect_communities_ts | Detect communities over time using the Louvain method
engagement_gap | Compute engagement gap between user groups over time
network_density_ts | Compute network density over time
network_drift | Compute the Network Drift Index (NDI) over time
network_drift_index | Compute the Network Drift Index (alias for network_drift)
plot_network_drift | Plot the Network Drift Index over time
plot_network_metrics | Plot one or more time-varying network metrics
plot_role_trajectories | Plot role composition over time
reciprocity_ts | Compute reciprocity over time
role_mobility_index | Role Mobility Index (RMI)
role_trajectories | Track user structural roles over time
sim_social_events | Simulated social interaction event log
summarize_network_series | Summarize structural metrics across all periods in a graph series
validate_social_events | Validate a standardized social event table
visibility_concentration_index | Visibility Concentration Index (VCI)