The following document details expectations for the comming versions. There is no guarantee on the implementation of any of the points here.
select_egoalter
table_...
~~survey_to_diffnet
, ~~edgelist_to_adjmat
~~diffnet_as_igraph
, igraph_as_diffnet
~~~~diffnet_to_networkDynamic
, networkDynamic_to_diffnet
. Need to reach out the author of Carter Butts: Is there any way to access networkDynamic objects formal definition??~~
~~rewire_dgr_preserve
: A brief comparison on igraph and netdiffuseR rewiring algorithms shows that igraph has no significan speed improvement in small-medium graphs. This may be due to having a similar rewiring algorithm. The dgr preserve should work in a similar fashion and should incorporate the call to std::<vector>remove
method.~~
~~Raise the level of ARMA_BIT_64INT
: Create a toy package in which, by simulations, we create big sparse matrices of class dgCMatrix
do read/write operations both from R and from C++.~~
read_ucinet
and rename read_ucinet
to read_dl
. And write versions of it. It will be useful to ask Steven B. if is there any way of using UCINET to analyze dynamic data.
read_net
Talk with the developer to see is they have more information (aditional reference) on the data formatting for dynamic graphs and attributes. Recall UCINET's documents provided with spreadsheets pointing to data types and structure.
~~rdiffnet
:~~
Set initial adopters by providing a vector:
What happens in survey_to_diffnet
when a data.frame is provided, but se set to fill data and the checking done over the dimmensions of the data?
select_egoalter
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