reachable_set_sizes: computes sizes of temporally reachable sets in a...

In tsna: Tools for Temporal Social Network Analysis

Description

computes sizes of temporally reachable sets in a dynamicNetwork, using either a full census or sample of starting vertices of the specified size

Usage

tReach(nd, direction = c("fwd","bkwd"), sample=network.size(nd),
      start, end,  graph.step.time=0)

Arguments

nd	a networkDynamic object
direction	currently only 'fwd' works, to calculate the sizes forward-reachable sets (as opposed to backwards-reachable)
sample	numeric, indicates the size of the sample of vertices to use to calculate the reachable sets
start	optional numeric start time to begin path search
end	optional numeric time to end path search
graph.step.time	How much time should be added for each edge traversal (graph hop)? See tPath for details.

Details

tReach calls link{tPath} on with each starting vertex to determine the sizes of the sets of vertices that are reachable. If sample is set to something less than the size of the network, it will sample that many vertices instead of doing the (expensive) full census. Note that when the vertices are chosen as a sample, results may vary between calls to this function

Value

a vector of length equal to sample giving the sizes of the set of vertices reachable from each seed vertex within the specified time bounds

Note

Needs implementation of backwards sets

Author(s)

skyebend

See Also

See also as tPath

Examples

data(moodyContactSim)
tReach(moodyContactSim)

# only sample 3 paths
tReach(moodyContactSim,sample=3)

# what fraction of the network could each vertex reach?
tReach(moodyContactSim)/network.size(moodyContactSim)

# what fraction of the network could each vertex be reached by?
tReach(moodyContactSim,direction='bkwd')/network.size(moodyContactSim)

tsna documentation built on Nov. 1, 2021, 5:06 p.m.