This isn’t much of a post as I’m not in the mood to do a detailed methodology and analysis. Suffice to say, we’re still improving our tool to get profile information and then set a location for this. This morning, we ran the Sydney Swans, sydneyswans. We were able to snag information on 2,993 of the 5,339 total followers. That’s about 56%. It isn’t a bad sample size wise so I’m happy. (We still need to be able to figure out how to get them all.)
Anyway, the basic math for the Swans followers statistics:
| Math | Retweets | Followers | Statuses | Friends | Listed |
| Mean | 0.013963039 | 489.7216839 | 670.358623 | 589.5511364 | 13.74816054 |
| Median | 0 | 38 | 38 | 119 | 1 |
| Mode | 0 | 1 | 0 | 1 | 0 |
Beyond that, what I was most interested in was the location of Sydney Swans fans. Would they be centered around Sydney? I put the locations on a map and this is what it looks like… (Yes, huge fan base around Sydney. At the same time, large fanbase around Melbourne and scattered fans/followers around the globe.)
The raw data set used for this can be found at TwitterSwans.xls.