R: Time-Ordered and Time-Aggregated Network Analyses

# Time-Ordered and Time-Aggregated Network Analyses

## Documentation for package ‘timeordered’ version 1.0.3

- DESCRIPTION file

## 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