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Hi Ragia,

Proximity from a graph perspective can be interpreted in different ways.

For example (and maybe more prominent) it can be the graph distance between nodes (geodesic distance or length of shortest path connecting two nodes), which would literally tell you how close two nodes are in the graph. Other variants can be used as well, like length of a random walk between them.

Also, it could mean the similarity of two nodes with respect to some attributes attached to them, so similarity in a N-dimensional attribute space: similarity in centrality scores, ego-neighborhoods or communities, clustering, etc.

Hope this gives you some ideas to start searching for appropriate references on the web.



On Mon, Aug 3, 2015 at 1:15 PM, Ragia Ibrahim <[log in to unmask]> wrote:
Dear group,
kindly,  what does the term proximity metrics ? or proximity score? means from graph perspective.

thanks in advance

Nicolas Kourtellis, Ph.D.
Associate Researcher
Telefonica I+D, Barcelona, Spain.
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