Anna Meares: Twitter geographic growth in response to gold
If you go back through my previous posts, my Twitter location methodology can be found. That out of the way, I was curious if there was a geographic shift in follower patterns in response to her gold. (Just a general disclaimer, locations outside of Australia and New Zealand are likely to be under counted as the emphasis isn’t on them.) It doesn’t look like there was any shift in follower patterns. No one state grew any more than any other. It doesn’t look like @annameares activated any regional interest in her cycling. Growth was generally consistent across the country.
| City | State | Country | 14-Oct-10 | 21-Nov-10 | 6-Dec-10 | Difference 21-Nov to 6-Dec | Difference 14-Oct to 6-Dec |
| Melbourne | Victoria | Australia | 52 | 76 | 88 | 12 | 36 |
| Sydney | New South Wales | Australia | 27 | 40 | 47 | 7 | 20 |
| Adelaide | South Australia | Australia | 20 | 33 | 37 | 4 | 17 |
| Canberra | Australian Capital Territory | Australia | 6 | 10 | 11 | 1 | 5 |
| Brisbane | Queensland | Australia | 6 | 9 | 10 | 1 | 4 |
| Perth | Western Australia | Australia | 8 | 9 | 10 | 1 | 2 |
| Singapore | Singapore | 0 | 1 | 2 | 1 | 2 | |
| Albury | New South Wales | Australia | 0 | 0 | 1 | 1 | 1 |
| Beijing | China | 0 | 0 | 1 | 1 | 1 | |
| Boston | Massachusetts | United States | 0 | 0 | 1 | 1 | 1 |
| Byron Bay | New South Wales | Australia | 0 | 0 | 1 | 1 | 1 |
| Colchester | England | United Kingdom | 0 | 0 | 1 | 1 | 1 |
| Collingwood | Victoria | Australia | 0 | 0 | 1 | 1 | 1 |
| Edinburgh | Scotland | United Kingdom | 0 | 0 | 1 | 1 | 1 |
| Gold Coast | Queensland | Australia | 3 | 3 | 4 | 1 | 1 |
| Palo Alto | California | United States | 0 | 0 | 1 | 1 | 1 |
| Torquay | Victoria | Australia | 0 | 0 | 1 | 1 | 1 |
| Townsville | Queensland | Australia | 0 | 0 | 1 | 1 | 1 |
| London | England | United Kingdom | 4 | 3 | 4 | 1 | 0 |
| Manchester | New Hampshire | United States | 0 | 2 | 2 | 0 | 2 |
| Concord | New South Wales | Australia | 0 | 1 | 1 | 0 | 1 |
| Delhi | India | 0 | 1 | 1 | 0 | 1 | |
| Elizabeth North | South Australia | Australia | 0 | 1 | 1 | 0 | 1 |
| Fort Worth | Texas | United States | 0 | 1 | 1 | 0 | 1 |
| Geelong | Victoria | Australia | 4 | 5 | 5 | 0 | 1 |
| Gosford | New South Wales | Australia | 0 | 1 | 1 | 0 | 1 |
| Las Vegas | Nevada | United States | 0 | 1 | 1 | 0 | 1 |
| Lyndoch | South Australia | Australia | 0 | 1 | 1 | 0 | 1 |
| Manchester | England | United Kingdom | 0 | 1 | 1 | 0 | 1 |
| Newington | New South Wales | Australia | 0 | 1 | 1 | 0 | 1 |
| Nottingham | England | United Kingdom | 0 | 1 | 1 | 0 | 1 |
| South Melbourne | Victoria | Australia | 0 | 1 | 1 | 0 | 1 |
| St Kilda | Victoria | Australia | 0 | 1 | 1 | 0 | 1 |
| Stanmore | New South Wales | Australia | 0 | 1 | 1 | 0 | 1 |
| Wodonga | Victoria | Australia | 0 | 1 | 1 | 0 | 1 |
| Ashgrove | Queensland | Australia | 1 | 1 | 1 | 0 | 0 |
| Chicago | Illinois | United States | 1 | 1 | 1 | 0 | 0 |
| Launceston | Tasmania | Australia | 1 | 1 | 1 | 0 | 0 |
| Leeds | England | United Kingdom | 1 | 1 | 1 | 0 | 0 |
| Mount Barker | South Australia | Australia | 1 | 1 | 1 | 0 | 0 |
| Richmond | Victoria | Australia | 1 | 1 | 1 | 0 | 0 |
| Rockhampton | Queensland | Australia | 1 | 1 | 1 | 0 | 0 |
| Wagga Wagga | New South Wales | Australia | 1 | 1 | 1 | 0 | 0 |
| Warrnambool | Victoria | Australia | 1 | 1 | 1 | 0 | 0 |
| Alexandra | Victoria | Australia | 1 | 0 | 0 | 0 | -1 |
| Balmoral | Victoria | Australia | 1 | 0 | 0 | 0 | -1 |
| Boonah | Queensland | Australia | 1 | 0 | 0 | 0 | -1 |
| Bundaberg | Queensland | Australia | 1 | 0 | 0 | 0 | -1 |
| Calgary | Alberta | Canada | 1 | 0 | 0 | 0 | -1 |
| Chelsea Heights | Victoria | Australia | 1 | 0 | 0 | 0 | -1 |
| Cobram | Victoria | Australia | 1 | 0 | 0 | 0 | -1 |
| Croydon | Victoria | Australia | 1 | 0 | 0 | 0 | -1 |
| Hobart | Tasmania | Australia | 1 | 0 | 0 | 0 | -1 |
| Lane Cove | New South Wales | Australia | 1 | 0 | 0 | 0 | -1 |
| Lucca | Italy | 1 | 0 | 0 | 0 | -1 | |
| Mumbai | India | 1 | 0 | 0 | 0 | -1 | |
| Newcastle | New South Wales | Australia | 5 | 4 | 4 | 0 | -1 |
| Tokyo | Japan | 1 | 0 | 0 | 0 | -1 |
