{"id":458,"date":"2011-04-29T02:15:17","date_gmt":"2011-04-29T09:15:17","guid":{"rendered":"http:\/\/rajiniravi.com\/ravi\/wp\/?p=458"},"modified":"2012-07-20T00:12:38","modified_gmt":"2012-07-19T18:42:38","slug":"analysis-of-adtechin-tweets","status":"publish","type":"post","link":"https:\/\/ravi.rajiniravi.com\/blog\/2011\/04\/analysis-of-adtechin-tweets\/","title":{"rendered":"Analysis of #adtechin tweets"},"content":{"rendered":"

On 27th of April, my twitter feed started showing a number of tweets with the hash tag adtechin<\/a>. Within an hour it became #2 trending topic in India – #1 being a promoted trend<\/a> – and stayed there for a full 2 days! I realized that a group of digital media guys were attending an event on digital marketing<\/a> in New Delhi<\/a> and tweeting away all sorts of things. Seeing the number of tweets, I was curious to find out what it was all about.<\/p>\n

So I got a quick fix program to download all tweets with #adtechin<\/a>. This program did a fairly good job of downloading tweets and I downloaded the tweet id, username, date, time and of course the status message.\u00a0 I would have loved to download location<\/a> and client data as well to analyze. Will edit the program to do that as well when I have time.<\/p>\n

Anyways, the following is the analysis of 3132 tweets captured between 10.12 AM on Apr 27th to 10.12 AM on Apr 29th. The program might have missed downloading certain retweets with the retweet link<\/a> on web. And because I couldn’t capture tweets before 10.12 on Wednesday, I cut off all tweets posts post 48 hrs to keep tweet data of 2 full days.\u00a0 Keep that in mind before you read on<\/a>.<\/p>\n

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  1. Tweet Trend<\/a><\/li>\n
  2. Top Tweeters<\/a><\/li>\n
  3. Retweets & trends<\/a><\/li>\n
  4. What got tweeted about<\/a><\/li>\n<\/ol>\n

    <\/a>1. Tweet Trend<\/strong><\/p>\n

    \"\"<\/p>\n

    \"\"<\/p>\n

    Though I didn’t capture all tweets from day 1, its safe to assume that the maximum tweets happened between 10-11 and 12-1. My captured data shows 15% & 14% of tweets were generated during this time band respectively.<\/p>\n

    The tweets generated at the beginning of the day’s and towards the end were not surprising as the main keynotes were during these time slots<\/a>.<\/p>\n

    The surprise was during the day 2, 12-1 noon… Hmm, Social Media got everyone excited.<\/p>\n

    Go back to top<\/a><\/a><\/p>\n

    <\/a>2. Top Tweeters<\/strong><\/p>\n

    A whopping 560 members tweeted with the hashtag. I wonder how many of them were tweeting from the venue itself as seeing this pic<\/a> (courtesy mprasanth<\/a>), I don’t think more than 350-400 people could have been seated in the conference room.<\/p>\n

    5% of these users generated 44.4% of all tweets. The tweets generated adhered nicely to the 80-20 rule as well. 80% of tweets were generated by 23.6% of users (76.9%-20%).<\/p>\n

    And the top 10 tweeters were (name, tweets, % of all tweets generated)…<\/p>\n