Lots of cleanup left to do in the code parsing/cleaning up the emails, but here’s a first pass. Seems like at least two connected networks, and surprisingly both the yahoo and the Gov’t email addresses are both in the larger one. I wonder what the smaller one comprises of?
A very big thanks to the folks over at Sunlight Foundation for the data.
2.5 million tweeters having 11 million conversations. Pay attention to the clustering.
Song: Dance on Vaseline (Thievery Corporation Remix) by David Byrne
(YouTube link here)
Over a long enough period of time, maps of who is talking with whom mostly look the same. Many conversations start to overlap with each other, and eventually you see a large central core and any number of outliers.
However if you look over short enough periods, you can see patterns of how those conversations start to merge. And, you can tell a lot. Easily.
Here we have a mapping of conversation partners mentioning two of the top sports apparel manufacturers, measured over the same period. Compare the shapes of Brand A (on left) to Brand B.
Brand B (on right) has a few larger clusters of conversation, lightly linked together by a few individuals participating in a number of the conversations.
Brand A has a lot of smaller conversations, interspersed with a handful of larger dense clusters; all webbed together in wide mesh.
So which is better?
Continue reading “Comparing Online Brand Conversations (Sports Apparel)”
The two clusters in the core are roughly split into Democrats (l) and Republicans (r).
Built from data by LittleSis.org. As always, click for larger image.
3.6-times as many former congressional staffers turned health care lobbyists and their immediate connections have network ties closer to former President Bush, than to current President Obama.
The connections in the network map shown below, and used for the analysis above, include people and organizations (e.g. corporate, not-for-profit, public, etc.) the people have been identified with.
Other trivia: Continue reading “Health Care Leans Republican”
What it look like if you took all of the Mathematics articles from JSTOR, the digital journal archive, and mapped co-authorship of the papers? It would look something like this. Interesting to note, that while the distribution does hold to the small world network distribution exponent, there’s some “peakiness” about it that may suggest it’s not really one network, but the merging of several. Given the role of mathematics on so many other subjects, that would not be a surprise.
Zoomable image with names, after the jump.
Congrats to the NY Senate for beginning to open more data at http://www.nysenate.gov/opendata!
Here is the network of Senator Allocations of Funding to Community Projects (CPFs): 2009-2010 by Senator or group and zipcode. Line width is proportional to funding allocation.
[click for full-size image]
Related: how do we define what’s public data? Some transit agencies are claiming copyright over transit performance.
Thanks to ProPublica and Sunlight Foundation:
…for the first time digitized one year’s worth of FARA records, making them accessible in a searchable database that allows users to easily follow the money and connect the dots. With the Foreign Lobbying Influence Tracker , anyone can quickly learn what governments are lobbying whom, how often and about what. [source @ ProPublica]
Here are the firms the Congressmen and -women from my home state have been meeting with:
and the countries of the governmental department or foreign firm paying the lobbyists:
Thanks everyone for showing the strong interest in the Lobbyist map. I got a couple nice mentions at Mother Jones and LittleSis.org, but more importantly, I’ve added in all of the other names in the map.
Circles are people, squares are organizations, and white circles are the lobbyists in question.
If you’d rather the image than the flash bits, here you go, all 2.5MB of it.
A zoomable version of the earlier map is here:
[Thanks to Drew Conway for the Sea Dragon zoomable suggestion]
The Huffington Post, along with public contributors, has been collecting a list of former Congressional staffers turned healthcare lobbyists. LittleSis.org has been keeping track of these former staffers, and thanks to their API, we now have a social graph of their relationships.
Former staffers in white (with names), and the rest of the visual field to show that some are MUCH better networked than others.
If there’s interest, I can add the names of the people they are networked with and start some analysis of the group.
As always, click for a larger image.
Update: network map with all names, and in a zoomable widget here.
