You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Because this was a .paj file, it can include multiple networks and some vertex-level data as separate elements in the the list returned. In this case, we want to grab the first more complete network (for background info, see \url{http://vlado.fmf.uni-lj.si/pub/networks/data/esna/sampson.htm}). We can attach the partition info onto the network as an attribute, and filter out the edges to include only the positive ``like'' ties.
566
+
Because this was a .paj file, it can include multiple networks and some vertex-level data as separate elements in the the list returned. In this case, we want to grab the first more complete network (for background info, see \url{https://github.com/bavla/Nets/blob/master/data/Pajek/esna/sampson.md}). We can attach the partition info onto the network as an attribute, and filter out the edges to include only the positive ``like'' ties.
567
567
568
568
<<sampson_format>>=
569
569
sampData$partitions
@@ -986,10 +986,10 @@ We can see that the rumor started at v1, our seed vertex, which has a little loo
986
986
\section{Related packages}
987
987
The statnet team is releasing several packages that work closely with the \verb@networkDynamic@ package to provide additional features.
988
988
\begin{itemize}
989
-
\item\verb@networkDynamicData@ : A collection of dynamic network datasets from various sources and multiple authors represented networkDynamic format. \url{http://cran.r-project.org/web/packages/networkDynamicData}
990
-
\item\verb@ndtv@ : Network Dynamic Temporal Visualization package -- like TV for your networks. The \verb@ndtv@ package creates network movies as videos or interactive HTML5 animations, timelines and other visualizations of dynamic networks stored in the \verb@networkDynamic@ format. \url{http://cran.r-project.org/web/packages/ndtv}.
991
-
\item A longer tutorial demonstrating features of \verb@ndtv@ and \verb@networkDynamic@ data import is located at \url{http://statnet.csde.washington.edu/workshops/SUNBELT/current/ndtv/ndtv_workshop.html}
992
-
\item\verb@tsna@ : Temporal SNA tools for measuring and doing descriptive statistics on dynamic networks stored in the \verb@networkDynamic@ format \url{http://cran.r-project.org/web/packages/tsna}.
989
+
\item\verb@networkDynamicData@ : A collection of dynamic network datasets from various sources and multiple authors represented networkDynamic format. \url{http://cran.r-project.org/web/packages/networkDynamicData/}
990
+
\item\verb@ndtv@ : Network Dynamic Temporal Visualization package -- like TV for your networks. The \verb@ndtv@ package creates network movies as videos or interactive HTML5 animations, timelines and other visualizations of dynamic networks stored in the \verb@networkDynamic@ format. \url{http://cran.r-project.org/web/packages/ndtv/}.
991
+
\item A longer tutorial demonstrating features of \verb@ndtv@ and \verb@networkDynamic@ data import is located at \url{https://statnet.org/workshop-ndtv/ndtv_workshop.html}
992
+
\item\verb@tsna@ : Temporal SNA tools for measuring and doing descriptive statistics on dynamic networks stored in the \verb@networkDynamic@ format \url{http://cran.r-project.org/web/packages/tsna/}.
993
993
\end{itemize}
994
994
995
995
\section{Citing networkDynamic}
@@ -1038,7 +1038,7 @@ Bender-deMoll, S., Morris, M. and Moody, J. (2008)
1038
1038
\bibitem[Butts(2008)]{network}
1039
1039
Butts CT (2008).
1040
1040
\newblock network: A Package for Managing Relational Data in R.
1041
-
\newblock\emph{Journal of Statistical Software}, 24(2). \url{http://www.jstatsoft.org/v24/i02/}.
1041
+
\newblock\emph{Journal of Statistical Software}, 24(2). \url{https://www.jstatsoft.org/v24/i02/}.
1042
1042
1043
1043
\bibitem[Krivitsky P and Handcock M (2013)]{tergm}.
1044
1044
\newblock Fit, Simulate and Diagnose Models for Network Evolution based on
@@ -1049,7 +1049,7 @@ Exponential-Family Random Graph Models.
0 commit comments