Mining Twitter Data with Ruby – Visualizing User Mentions by Greg Moreno.
From the post:
In my previous post on mining twitter data with ruby, we laid our foundation for collecting and analyzing Twitter updates. We stored these updates in MongoDB and used map-reduce to implement a simple counting of tweets. In this post, we’ll show relationships between users based on mentions inside the tweet. Fortunately for us, there is no need to parse each tweet just to get a list of users mentioned in the tweet because Twitter provides the “entities.mentions” field that contains what we need. After we collected the “who mentions who”, we then construct a directed graph to represent these relationships and convert them to an image so we can actually see it.
Good lesson in paying attention to your data stream.
Can impress your clients with elaborate system for parsing tweets for mentions or you can just use the “entities.mentions” field.
I would rather used the “entities.mentions” field’s content to create linkage to more content. Possibly searched/parsed content.
Question of where you are going to devote your resources.