net.obs.period | R Documentation |
net.obs.period
is an optional network-level attribute that gives meta-information about the characteristics of the observations, time range and temporal model of a networkDynamic
object.
If the attribute is present, it is required to have a specific structure. It is a 4-element list
with named values.
the observations
element is a list of two-elment spell vectors that give the onset and terminus of the time period(s) during which the network was observed or simulated
mode
A string indicating the temporal model of the network: either discrete
or continuous
time.increment
is an indicator of the ‘natural’ time unit for iterating over the network (primarily useful for discrete time models)
time.unit
is the name of the unit used by all of the spells in the object: often set to step
for discrete simulations.
Some functions that work with networkDynamic
objects need to know information about the observation design of the network. Is it discrete or continuous time model? When did the observation (or simulation) of the network processes start and end? What are the time units? This information may be stored in the optional net.obs.period
network attribute.
Some examples of possible net.obs.period
values for various networks:
for an stergm output it might be:
list(observations=list(c(0,100)),mode="discrete", time.increment=1,time.unit="step")
For Lin's windsurfers , which is missing all observations on day 25:
list(observations=list(c(0,25),c(26,31)),mode="discrete", time.increment=1,time.unit="day")
For McFarland's classroom data:
list(observations=list(c(0,55),),mode="continuous", time.increment=NA,time.unit="minute")
A fictitious instantaneous panel example :
list(observations=list(c(0,0),c(21,21),c(56.5,56.5),c(68,68)),mode="discrete", time.increment=0,time.unit="seconds")
The values of the net.obs.period
object are not checked for consistency with activity spells of the network itself.
Link to page on statnet wiki?
Several of the networkDynamic
converter functions set the net.obs.period
attribute on their output object. See also activity.attribute
nd<-network.initialize(5)
activate.vertices(nd,onset=0,terminus=100)
set.network.attribute(nd,'net.obs.period',list(observations=list(c(0,100)),
mode="discrete", time.increment=1,time.unit="step"))
# find the overall `expected' time range for the object
range(get.network.attribute(nd,'net.obs.period')$observations)
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