magnanim-old / multinet

Analysis and mining of multilayer networks
18 stars 9 forks source link

additional centrality measures #13

Open rafapereirabr opened 6 years ago

rafapereirabr commented 6 years ago

Are you planning to include in package other centrality measures like page Rank, betweenness, closeness etc ?

magnanim-old commented 6 years ago

Hi, I think I am aware of two definitions of multiplex page rank, that are not planned. Do you have references for betweenness and closeness? I only know these being computed treating the multiplex as a simple graph - in which case you would transform the multiplex network into an igraph object using as.igraph (or saving it as a graphML file and opening it with any other simple graph analysis package you may be familiar with) and run the simple graph algorithms for betweenness and closeness.

If there are references for multiplex algorithms I can have a look.

rafapereirabr commented 6 years ago

Hmmm. I'm not 100% familiar with the algorithms, but I know many of them are already implemented in graph-tool using C++ or in R via Muxviz.

These two papers are/point to some good references, but I'm sorry I'm saying something obvious:

magnanim-old commented 6 years ago

Hi Rafael, thank you for the links. I'll have a look, but for measures based on a tensorial representation of multiplex networks muxviz might be an easier choice, because we do not use that representation in our code.

On Mon, Nov 20, 2017 at 1:10 PM, Rafael H M Pereira < notifications@github.com> wrote:

Hmmm. I'm not 100% familiar with the algorithms, but I know many of them are already implemented in graph-tool using C++ https://graph-tool.skewed.de/ or in R via Muxviz https://github.com/manlius/muxViz.

These two papers are/point to some good references, but I'm sorry I'm saying something obvious:

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/magnanim/multinet/issues/13#issuecomment-345677993, or mute the thread https://github.com/notifications/unsubscribe-auth/AAc2CGhQAJCAdYREAwUkjN9LihMrpUhmks5s4Ww6gaJpZM4Qh3kd .