As always, I would have loved to collect more data, but there are, naturally, physical limitations to doing so. Whilst this seems like a lot, it still pales in comparison to daily tweet volume. In total, I collected and analysed one million tweets. For reference, the results that I collected are from a random sampling of tweets across a 9-hour period, approximately 9am to 5.30pm on the 18th July. On a normal day, though, this method should be a good indicator of average user behaviour and app usage. For instance, a big global event may encourage people to tweet on a day they otherwise wouldn’t. I ran a script which literally scanned tweets for their source link and counted each unique source.ĭue to the time sensitivity of Twitter, finding one exact data set is impossible as client usage varies constantly. Due to the Twitter Streaming APIs, this is relatively straightforward. I thought I’d (try to) find out.įirstly, Twitter doesn’t report the information itself, so the only way to find out is by brute force. It made me realise that no one has really explored how many people use Twitter’s own apps. On the latest Talk Show, Gruber wondered what the spread of Twitter clients really is. /how-many-people-use-twitter-s-own-apps.
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