In this activity you will use TwitterTrails (http://twittertrails.com/) to analyze the origin, spread, and validity of a “story” on Twitter (a claim, a meme or an event).

Read the title of the story. Is the CLAIM that you will be investigating clear? *
STEP 1: Explore the Propagation Graph
The Propagation Graph contains the tweets which were influential in "breaking the story" on Twitter, and highlights independent content creators. Each bubble on the propagation graph represents a tweet, and hovering over or clicking on the bubble will display the tweet to the right of the graph.

Tweets are plotted on x-axis of the graph based on the time they were posted, and on the y-axis by the number of retweets they have received (at the time of data collection).

Bubble Size = The potential to be viewed (number of followers, in logarithmic scale).
Blue border = The tweet was written by "verified" accounts (Twitter has checked the identity of the account owner).
Colored Bubbles = Tweets with nearly identical contents will have bubbles that are the same non-gray (default) color.

What does the x-axis represent in the Propagation Graph? *
The range of the y-axis gives you a sense on the interest that the story generated when it broke. What is the range on the y-axis (in number of retweets)?
Explore the tweets with the highest number of retweets. Decide which tweet BROKE the story. Write the name of the account and the number of retweets it received.
When did the story break? (Write the time that the tweet you selected above was posted.) *
Were there any tweets with similar wording? (i.e., Are there any bubbles colored?) *
STEP 2: Time Series of Relevant Tweets
This time series graph shows the activity over time of all the relevant data we collected (not just those that broke the story that were shown in the Propagation Graph).
Time is on the x-axis and the number of tweets generated every 10-minutes period is on the y-axis.

Moving the cursor over the time series line will reveal points. Clicking on a point will display the tweets from that ten minute time span to the right of the graph. These tweets are sorted by the number of retweets they have received (highest on top), and can be re-sorted using the drop down menus.

Clicking on "Manage Series" on the bottom right of the display will open a panel which you can use to add new time series to the graph by checking the box on the left. The Search function takes a search term in the text box, and will display all tweets contain (the exact) search term when you check the box on the left of Search.

What was the maximum number of tweets at any 10-min time period during the timeline?
At what 10-min time period did it reach that maximum?
Discover the FIRST RELEVANT tweet sent. (That would one of the tweets in the leftmost point of the graph.) Write the name of the account and the time it was sent.
Approximately how much time passed between the FIRST RELEVANT tweet and the tweet that BROKE the story? (You found the latter in the previous STEP.) *