Visualization of social connections

In the course of interaction on the social sites all network members communicate writing topics, respond to comments. The most interesting interlocutors added to the friends and their messages get to a personal feed. While the growth of the number of messages becomes increasingly difficult to determine with whom to communicate. With someone can be quite active to write in different themes, but because of the large amount of information not just to associate different messages with one person.

has Long been known that people, regardless of their analytical skills faster and better perceive information in graphical form. But now, in order to determine how close their views with the opinion of another member of the community is necessary to perform a lot of messages or to act impulsively relying on memory and an instant decision. Therefore, I propose to implement on Habrahabr visualize the social relations between abrollsoftware. This will make it easier to find like-minded people and in a simple way to see what's happening here.

An example of how a graph might look like:


Naturally, it is best to analyze the information in the whole website and personal connections of the user. Ideal to realize a dependence of the symbols from the estimates offered other comments and the topic.

Additional information and algorithm implementation in Java with respect to the IRC network available on the website PieSpy (PDF).

Sorry if the text is like a stream of consciousness :)

Article based on information from habrahabr.ru