Here are two new maps I created with Pajek (which unfortunately cannot display graphics as nodes) using the Crunchbase API. This time they are about the connections between a number of Web 2.0 startups by their common investors and between these investors.
If, for example, the same financial organization or person is investing both in Twitter [...]
Want to know which venture capitalist invested in which web 2.0-company? Take a look at Crunchbase. It’s all there. And the best thing is: it has a beautiful and responsive API. I couldn’t resist downloading a few entries from this database to visualize the network of investors and companies that’s evolving around the new microblogging [...]
The crucial difference between old mass media and new social media lies in the network magic, services like Friendfeed are able to perform.
One thing should immediately be evident if you’re using the FFSixDegree tool I coded yesterday: the real power of Friendfeed as a communication infrastructure is its network effect. Even if you are subscribed [...]
Just finished (for the moment) a small application that can be used for social network analysis of Friendfeed data. See for example this visualization of my Friendfeed contact network.
The application loads your contacts and your contacts’ contacts from Friendfeed and not only displays your number of friends and friends-of-friends but also the five most influential [...]
How does my second order social network on Friendfeed look like? A network analytical exploration.
As the six degrees of separation experiment by Stanley Milgram went through press and social media again, I thought it would be nice to visualize my Friendfeed connections. I wrote a quick php hack that downloaded all my connections and my [...]
