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Showing posts with the label Gephi

Visualizing Social Network - Part 1

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An idea is worthless unless implemented right? You can have all the data in the world but if you can't articulate it or visualize it for others to understand, then it's really just another data in your data warehouse. The last couple of months me and my colleagues were working on social network. Basically trying to understand how the subscribers are interconnected and identifying who are the influencers for targeted marketing - or so we thought that's how it should be. Business justification aside - it was an interesting topic to dive into. After a few days, we managed to come up with our edge and node list, and later ran a few centrality algorithms to measure each individual within that network. Specifically, we were measuring: Degree - The number of direct connections that one has. ie How many direct friends does he have? Closeness centrality - How close (by means of hop) is a person to each of the person in their network? Between-ness centrality -  Identifying w...