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Hi Dmitry, 


In a nutshell, you can't make undirected data directed but you can make directed data undirected. SNA programs usually have a function that will do this for you, and you can typically tell it whether you want it to count bidirectional ties as 1 or 2 links between those actors. Unless you have multiple relationship types in your maps you should probably just count them as 1. You could also check if your undirected data has tie weights or if it's just looking at whether or not 2 actors are connected, and then make a decision on how to count bidirectional ties that mirrors this data.


Once you make your directed network undirected you can do your analysis as usual on both networks. 


Best, 


Rachel Dickinson

Technical Officer for Research and Learning

Root Change

Email: [log in to unmask]

Office: 202-470-5566

www.rootchange.org

 


From: Social Networks Discussion Forum <[log in to unmask]> on behalf of Dmitry Zinoviev <[log in to unmask]>
Sent: Monday, May 20, 2019 3:08:05 PM
To: [log in to unmask]
Subject: [SOCNET] Structural comparison of a directed and undirected graphs
 
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Dear All,

I have two networks of the same people: a directed network of followers and an undirected network of vocabulary sharers. Could you suggest any techniques to compare the two networks for any signs of structural similarity? I am mostly concerned about the difference in the directedness. Thank you!

--
Dmitry Zinoviev, Professor of Computer Science, Suffolk University, Boston, MA 02114
Author of "Data Science Essentials in Python" and "Complex Network Analysis in Python"

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