ergm.rank is a set of extensions to
ergm to fit and simulate from exponential-family random
graph models for networks whose edge weights are ranks. For a list of
Mainly, it implements the
CompleteOrder reference measure for valued ERGMs (documented here), and provides some
rank-order change statistics (documented here).
For a complete list of the functions, use
or read the rest of the manual.
When publishing results obtained using this package, please cite the
original authors as described in
All programs derived from this package must cite it.
This package contains functions specific to using
model networks whose dyad values are ranks. Examples include
preferences, valued ties reduced to ranks, etc..
For detailed information on how to download and install the software, go to the Statnet project website: statnet.org. A tutorial, support newsgroup, references and links to further resources are provided there.
Pavel N. Krivitsky [email protected]
Krivitsky PN (2012). Exponential-Family Random Graph Models for Valued Networks. Electronic Journal of Statistics, 2012, 6, 1100-1128. doi: 10.1214/12-EJS696
Krivitsky PN and Butts CT (2012). Exponential-Family Random Graph Models for Rank-Order Relational Data. http://arxiv.org/abs/1210.0493
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