**hallucigenia + networks**
5

Introduction to Network Analysis with R

november 2017 by hallucigenia

"Over a wide range of fields network analysis has become an increasingly popular tool for scholars to deal with the complexity of the interrelationships between actors of all sorts. The promise of network analysis is the placement of significance on the relationships between actors, rather than seeing actors as isolated entities. The emphasis on complexity, along with the creation of a variety of algorithms to measure various aspects of networks, makes network analysis a central tool for digital...

networks
r_function
r_packages
to_try
statistics:networks
visualization
november 2017 by hallucigenia

Introducing tidygraph

july 2017 by hallucigenia

I’m very pleased to announce that my new package tidygraph is now available on CRAN. As the name suggests, tidygraph is an entry into the tidyverse that provides a tidy framework for all things relational (networks/graphs, trees, etc.). tidygraph is a relatively big package in terms of exported functions (280 exported symbols) so all functions will not be covered in this release note. I will however provide an overview of all the areas that tidygraphtouches upon so you should have a pretty good grasp on what the package can do for you.

R_packages
r_hadley
networks
statistics:networks
visualization
to_try
july 2017 by hallucigenia

Ecology: Network Models | Statistical and Applied Mathematical Sciences Institute (SAMSI)

ecology
statistics
statistics:networks
networks
organization
statistics:ecological

december 2014 by hallucigenia

Ecological data are often encapsulated as modular units, whether they are genes, individuals, species, communities, habitats, or ecosystem components, in both space and time. Network analysis is an interdisciplinary approach to modeling the modular units through their connectivity.

december 2014 by hallucigenia