Archive for the ‘geolocation’ Category
I recently started noticing that certain locations that I check into had tips which were usually for companies close to that location. An example it the ING Bank advertising their career site when you are in the discount electronics shop across the road or in the mall. Or Heineken informing you that you can link your FourSquare profile to your Heineken profile.
Image source: me
Follow Finder analyzes public social graph information (following and follower lists) on Twitter to find people you might want to follow.
It actually does much more than it promises.
“Tweeps you might like” probably does some geographic profiling, as I probably have 67 Dutch people I follow of 2000+ – with the exception of some political figures of the Dutch Green party – yet I have 8 Dutch people in my top 10. I get 3 prominent members in the top 10, 2 of whom are ministers of the Dutch parliament. It completely ignores the fact that I have some of them in one of my lists. 4 politicians of other parties and the others associated with politics, and a Dutch comedian who I don’t like.
In “Tweeps with similar followers” there are 2 Dutch super connectors in the top 10 I follow, @jankarel (#3) and @woepwoep (#4), as well as @thomaspower (#8) or @vincentwright (#6), also both networking super connectors. This doesn’t surprise me, what does surprise me is that the first 2 don’t follow @fritswester and still have him in their top 4 “Tweeps you might like”. In other words, it ignores the tweeps like me and reads my tweets.
“Tweeps with similar followers” also isn’t sorted. Using Twiangulate I discover that @jankarel is less like me than @woepwoep
9 followed by jankarel, webhat and woepwoep
19 followed by jankarel and webhat
27 followed by jankarel and woepwoep
237 followed by webhat and woepwoep
and other two are also more like me:
5 followed by thomaspower, VincentWright and webhat
20 followed by thomaspower and VincentWright
191 followed by VincentWright and webhat
20 followed by thomaspower and webhat
Still @jankarel is number 3 in the list. Add the comparison of the first two in the list:
31 followed by keltie63, topexecutives and webhat
It does no sorting at all!
Tweep like me doesn’t even try:
The tweep most like me is @booge3872!
84 followed by booge3872 and webhat
Although she seems to be unfollowing people, as my first search we had 102 common followers. )
At least GLFF tried, and it’s a Labs product, so I don’t expect it to get it right the first time.
First you need to register it to FaceBook before you can use it. It registers the cell location, rather than the GPS location, and allows you to tag the Cell with a location tag. It runs in the background. According to FireEagle:
Automatic operation is currently available for BlackBerry …
Click here for FindMe OTA Download.
I was reading an article in the International Herald Tribune which stated that the search in foreign countries, such as China or India, of foreign news sources, European or American, for news about the home country is high. Citizens of a country like to know what the foreign press is saying about their home country.
When looking at the statistics you can see that the search for India is obviously most performed in India, with second and third place locations being the United Arab Emirates and Singapore. For China the same can be seen, Hong Kong SAR is the number one searcher for China and the second and third place are taken by Singapore and Malaysia.
For me knowing how people search is as important as what they search for. Trends is a powerful tool to do this, and local knowledge is just as important. Whether you are targeting specific regions or want global reach. These search trends also show that some of the targeting also affects foreign nationals overseas.
So how can you use this information?