Here is the prototype: docs.google.com/spreadsheets/d…
(it's the list of the most influential tweets in Bitcoin Twitter in the last 72h)
@fiftydotone recently created a cool feature: they show the most popular articles in crypto. With our data they could break it down for each cluster and show the change over time.
![](https://pbs.twimg.com/media/D8sVqAhXUAUW__u.jpg)
E.g. recently people were tweeting from @breakingbitcoin. The sum of influence of tweets with #breakingbitcoin is a good indication of buzz around the event.
1) which cluster(s) the author belongs to
2) how influential he/she is in that cluster
3) what’s the relationship of this cluster to others
To get the *feeling* for this you need to immerse yourself in this world. Or apply a Bag of Words algo to the list of the most influential tweets in a given cluster.
@_JustinMoon_'s tweet about his coding for Bitcoiner’s project ranked #1 (the last 72h in Bitcoin Twitter). This is a strong indication of whether this project is considered as valuable by this group.
@PeterMcCormack's announcement of going “Bitcoin-only” with his podcast ranked #5.
Other people tweeted about this move as well (yay/nay); these can also be measured.