Time-Ordered and Time-Aggregated Network Analyses

[Up] [Top]

Documentation for package ‘timeordered’ version 1.0.0

Help Pages

ants Ant interaction data
applynetworkfunction Applies a function (typically a descriptive statistic) to multiple time-aggregated networks
contact_randomization Randomize temporal networks
edge_randomization Randomize temporal networks
generatelatencies Generates vector-clock latencies for each individual at each time.
generatenetworkslices Generates multiple time-aggregated networks from a time-ordered network
generatetimeaggregatednetwork Constructs a weighted time-aggregated network from a time-ordered network by aggregating interactions occurring between a start and stop time. Weights are stored as E(g)$weight.
generatetimedeltas Constructs matrix of sequential time windows suitable for slicing time ordered networks
generatetimelags Constructs matrix of increasingly large time windows suitable for assessing how window size affects time aggregated networks
generatetonetwork Generates a time-ordered network from an interaction list.
generatetonetworkfromvel Generates a time-ordered network from a data frame listing all directed edges. An internal function.
generatevertexedgelist Generates a data frame listing all directed edges in a time-ordered network from an observed interaction list. An internal function.
maxpoints Determines the maximum value of each row of a matrix; used as a convenience function for plotting.
midpoints Determines the mean value of each row of a matrix; used as a convenience function for plotting.
plotnetworkslices Plots a time-aggregated network
plottanet Plots a time-aggregated network.
plottonet Plots a time-ordered network.
randomized_contacts Randomize temporal networks
randomized_edges Randomize temporal networks
randomizeidentities Resamples data based on vertex identity.
randomizetimes Resamples data based on event time.
randomize_edges_helper Does all the work for 'edge_randomization' and 'randomized_edges'. An internal function.
randomly_permuted_times Randomize temporal networks
random_times Randomize temporal networks
rarefy Simulates the effect of insufficient sampling by data rarefaction.
shortesthoppath Determines a path (shortest by the least number of unique vertices) between two vertices at two times.
shortesttimepath Determines a path (shortest by the least time) between a vertex at a start time and another vertex at any later time.
spreadanalysis Simulates the perfect spread of a resource on a time-ordered network.
swap Swaps two elements in a data frame. An internal function.
time_reversal Randomize temporal networks
total_randomization Randomize temporal networks
transformspreadbyindividual A helper function to assess differences in spreading potential by vertex.
vertex_randomization Randomize temporal networks