Temporal Auditing of Social Interaction Networks

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Documentation for package ‘socialdrift’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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)