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Re: [igraph] Find six degrees of separation in Actor-Actor Network
From: |
Tamas Nepusz |
Subject: |
Re: [igraph] Find six degrees of separation in Actor-Actor Network |
Date: |
Fri, 18 Jan 2019 22:03:49 +0100 |
> - In igraph weight is considered as a cost or close relation
It depends on the algorithm; for shortest path calculations, weights
represents distances (i.e. the larger the weight, the longer the edge
is).
> Even though there are many edges between Actor01 and Actor02 , the length of
> path will be one! Is this right?
You could set it to 1, or you could set it to 1/K if K was the
original weight, or you can use any other transformation that fits
your purposes. It is entirely up to you.
> - When I calculate the total shortest path between all nodes, there are three
> nodes have same value. In this case should I look for eigenvector centrality
> to find right node that will be considered the center node or starting point.
Again, it's up to you which other centrality measures you use to
augment the shortest path analysis.
> - When I projected the bipartite network into Actor-Actor network, I'am
> losing the the names of edges that are important for me. How can I get assign
> edge name into Actor-Actor network.
What are the names of the edges in your case? The input data frame
contains node names only.
T.