A few days ago I reset almost all of my primary Twitter output since 2007.

First, I made archives to revisit some prior analysis.

Next, I started looking around on GitHub for inspiration.

Little Big Data

A few years ago I did a big data presentation. There was even a video of it. (Update: the video appears to be private as of 2022)

At the time, I had downloaded some R examples to run against my Twitter archives.

Why archives? I tweet(ed) a lot. So, the limitations on web access applied.

I included some of these references in the presentation.

Trends: @Qthrul

This time around I found another example using Python:

GitHub - dangoldin/twitter-archive-analysis: Some tools to help analyze the twitter archive

Some tools to help analyze the twitter archive. Contribute to dangoldin/twitter-archive-analysis development by creating an account on GitHub.

A few seconds later… this caught my eye for @Qthrul:

It is clear that functionality arrived (retweet) and that I was interactive (replies).

Trends: @JayCuthrell and @JayAtDellEMC

But I had also created other Twitter accounts.

Let’s take a look at @JayCuthrell:

Let’s take a look at @JayAtDellEMC:

I’ll revisit this post as I come across more tools with good results.