I chose the first 3000 tweets I collected since the data set seemed very active at that time and it was toward the beginning of the hashtag's creation
Graphing #ThisIsNotNormal
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#transgender Connections
The group of tweets that I selected ranged from March 21 to March 22, and I selected a full 3,000 tweets. I chose this range because it is the most re
LesMes
I chose to do my most recent 3,000 tweets available. They go back as far as March, 21. I chose these tweets because of all the recent news with Trump
Lab 4 #Energy Network Analysis with Gephi
Part I: The time period I chose is the most current 2,200 tweets the majority are from this weekend. #energy is a current event that produces cha
Gephi stays #woke
I chose to make a subset of 3000 points of data from the time between February 13-15. Because of the size of my data sets, I wanted to use a time fra
~ A Node Galaxy ~
Part I I chose the week of February 6-13th because that was the time period I used for the Text Analysis Lab and I would like to compare my data.I
Graphing #climatechange
I chose to work with the most recent 3,000 tweets on #climatechange because it was so much data, that it kept freezing and was just simply easier. T
Lab 4: Visualizing #Syria Tweet Connections
Part I: Cleaning (Organizing) Data for Visualization I chose the first 3,700 tweets from my dataset. I have over 130,000 tweets, but this sma
Lab 4: Obamacare Network Analyses with Gephi
I chose to have 2500 tweets in my data set with all those tweets coming from March 8th - March 9th. I chose 2500 tweets because we were recommended to
#StandwithPP Gephi Analysis
I decided to use the data that I had collected from the time period of Thursday March 23-Monday March 27(Today). Besides for the obvious factors tha