generatetimelags

Approaches for incorporating time into network analysis. Methods include: construction of time-ordered networks (temporal graphs); shortest-time and shortest-path-length analyses; resource spread calculations; data resampling and rarefaction for null model construction; reduction to time-aggregated networks with variable window sizes; application of common descriptive statistics to these networks; vector clock latencies; and plotting functionalities. The package supports <doi:10.1371/journal.pone.0020298>.

Benjamin Blonder

timeordered

Time-Ordered and Time-Aggregated Network Analyses

generatetimelags function

<dl> <dt>starttime</dt>
<dd>The starting time of the first time window.</dd> <dt>stoptime</dt>
<dd>The stopping time of the last time window.</dd> <dt>delta</dt>
<dd>The size by which to increase each time window.</dd></dl>

Arguments

Benjamin Blonder <a href="/link/bblonder%40email.arizona.edu?package=timeordered&version=1.0.1" data-mini-rdoc="timeordered::bblonder@email.arizona.edu">bblonder@email.arizona.edu</a>.

Author

Constructs matrix of increasingly large time windows suitable for assessing how window size affects time aggregated networks — generatetimelags

<dl>

 <dt>starttime</dt>
<dd>The starting time of the first time window.</dd>

 <dt>stoptime</dt>
<dd>The stopping time of the last time window.</dd>

 <dt>delta</dt>
<dd>The size by which to increase each time window.</dd>

</dl>

Benjamin Blonder <a href='mailto:bblonder@email.arizona.edu'>bblonder@email.arizona.edu</a>.

generatetimelags: Constructs matrix of increasingly large time windows suitable for assessing how window size affects time aggregated networks

Description

Usage

Value

Arguments

Author

See Also

Examples