Visual complexity is a website that displays many galleries of art and images that show different kinds of data representations. One of the galleries I am particularly interested in is its social networks gallery. This gives many examples of the way we can interoperate social networking visually.
Check it out at: Visual Complexity.com
One of the social networks projects I found of interest was the twitter analysis carried out by Akshay Java, and made images based on the results obtained. The two images show the difference visually by people who follow people on Twitter that they do not know, against people who are actually mutual friends.
Below are the images:
This image shows the amount of people who follow each other, but are not mutual friends.
And this image shows the comparison when only looking at Twitter users who are friends. as this shows there are only very few people that actually know the various people they follow.
I find this interesting as being a Twitter user I can agree that there is only a small percentage of the people I am following that I do actually know. This goes to show how much people are interested in others thoughts and feelings even though we may not know them personally.
These images were taken from: http://visualcomplexity.com/vc/project_details.cfm?id=594&index=76&domain=Social%20Networks
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