Baseball Twitter Roller Coaster

Because Twitter is fun and so are graphs, I have tweet volume graphs from my Twitter scraper that collects tweets with the team-specific nicknames and Twitter handles. After a trade (or non-trade), the data can be collected and a graphical picture of the reaction can be produced. The graph represents the volume of sampled tweets that contained the specific keywords: Mets, Gomez, Flores and Hamels. “Tears” is a collection of any tweets which mentioned either “tears” or “crying”, since Flores was in tears as he took the field.

Here are the reactions to the Gomez non-trade and Hamels trade last night:


And here’s the timeline of necessary tweets:
[All times are EDT.]

July 29
9:00 PM

9:45 PM

9:54 PM

10:15 PM

10:55 PM

July 30
12:13 AM

Some of the times were rounded if there wasn’t a clear single tweet that caused the peak on Twitter.