@Lillian: Do you seriously believe that FB privacy data is that strict ? I don't think so. Its just a statement they have just circulated among its users just to make them feel better. If not why do you think there are so many privacy issues rallied around FB ?
Your request is a bit tough because of the privacy rights that Facebook has extended to its users. Facebook data just isn't as easy to get as Twitter data, so not as many tools have been developed to help one make sense of the data.
You are absolutely right, Mitch. Most of the people that came up as influential have quite a large following on Twitter. The number of followers plays a part here, but the analysis is narrower than that. The measures describe the degree and type of connectedness within a small microcosim of the Twitter-sphere that revolves around Patrick, Jake, and myself.
This is a good data analytics for how it is..but I also want a matchmaker bot, that goes out and finds the likely subgroups on Facebook and Twitter for my interests and maps me to potential Friends and Followers automatically, or in an assisted fashion.
That's great, Lillian. The diagrams you provided really give a good idea of how this works -- including the visual aspect you mention. Love that concept!
Thanks for that question, Alison. This sort of analysis is relatively simple, because all you have to do is run an analysis through Twiangulate and do a visual inspection. Deductions from this sort of visual inspection analysis may or may not be 100% accurate, but at least you can get an idea of the inner workings in a small part of your network. You can really spend as much or as little time as you like drawing conclusions from the Twiangulate output....
These free tools appear to offer incredible value, Lillian, and I'm looking forward to exploring them. How easy, would you estimate, they are to use for people who are not data analytics professionals?
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