Where are the Birthday boys/girls?
The First map is showing the distribution of total number of tweets from January 2013 to September 2013. According to the map, the highest number of tweets have been found in the Europe and in North America. Asia, South America and Middle East are in the second highest position and the lowest number of tweets been observed in the Africa and Australia. From the map we also can observe that, the number of tweet’s distribution is highly correlated with the number of population in the Asia and in South America but in Europe and in north America the tweet distribution does not depends on the number of population rather it’s the cause of rapid technological advancement and the popularity of twitter among the social network users.
To others, today, is an another usual day like every other regular days but for me its little bit different. Last night it seemed like the moon was bigger than usual. Then, I have found this morning warmer than other day’s though it seemed colder to others. From the very morning I’m receiving lot of phone calls, massages, mails, wishes and so. What’s special about today? Anyway, this is not an important question. The important and interesting questions are “who” are the people and “where” are they, who are feeling the same like me, today? let’s try to answer that query using social network data; twitter sphere. the clue is, to answer the question we have to find the birthday boys/girls all over the world. yes, today is my birthday. 😉
The above map is showing the tweets distribution (of today; 30th September 2013) concerning “birthday”, represented in blue dots and the color ramp (green-yellow-red represents low-high regarding the total number of tweets) showing the relative distribution of the total number of tweets. for an instance, the darker red ramp represents the location with around 0.02% tweets of the total tweets and the green represents less than 0.004%. The total number of birthday people are highly correlated to the number of total tweets but there are exceptions too. for an instance in Japan, Brazil, Argentina, Portugal, Thailand, Turkey, Maxico and so. Now the question is why?
My first assumption, behind in anomaly was the “Language Diversity”. To check the fact I have plotted “birthday” tweets in the Spanish, Portuguese, French and German and generated the following map. and these maps finds my assumptions true. For an Example the people from Maxico wrote Birthday in Spanish so that was not considered into the count while plotting English “Birthday”. And in those maps the color ramps (green – red) represents the tweets distribution considering that particular language of the word “birthday. So, while analyzing the twitter data language is a very important and tricky issue, needs to be considered.
Finally, The people who are talking about birthday, they are mainly wishing happy birthday to others, living in the same house or living in the other part of the world. Interestingly, Now I know where are the birthday boys/girls are living/staying tonight. Wish you a very happy birthday to you all and send my warm wished spatially 😉
All this maps were developed using the weetMap ALPHA; A Sample Big Geodata Exploration Tool Powered by MapD and WorldMap
Location Based Ads: What is the magic distance for success ?
Location-based ad campaigns have been THE thing doing the rounds in marketing. There have been numerous reports that have highlighted the power of location based advertising campaigns and their potential. Many organizations and App developers have tried to cash-in on the popularity and potential of Location based ads. Most of these apps and ad campaigns utilize a concept called “geo-fence” – which is a geo geek term for the virtual perimeter in which users are targeted.
What’s the magic distance for the “geo-fence” ?
Any guesses?! According to a report by Verve Mobile, the magic number is “6 Miles”! Honestly, I was thinking somewhere around 2-3 Miles! I guess this number is again going to depend on the country, the city and the state of public transportation. The full report is available for download and reading. I am definitely taking a deeper look at what information is available 🙂
The Click-Through rate is highest at a radius of 5 miles at around 1.2% and falls drastically if the distance is greater than 6 miles. But even more than the drop, I find it interesting that the CTR improves again around 8 Miles! A good topic for research is you are interested in Behavioural Economics 😉
So what’s your personally idea/number for the magic distance?