Editing Twitter (CDSW) (section)

== Potential exercises ==


'''Topics and Trends'''

# Alter code example 2 (ex2_search.ipynb) to produce a list of 1000 tweets about a topic.
# How does twitter interpret a two word query like "data science"
# Eliminate retweets [hint: look at the tweet object!   https://dev.twitter.com/overview/api/tweets]
# For each tweet original tweet, list the number of times you see it retweeted.
# Get a list of the URLs that are embedded in Tweets with your topic.

'''Geolocation from Search API'''
This section will require you to investigate the filter function in example 2 in more detail.

# Get the last 50 tweets from Ballard.
# Get the last 50 tweets from Times Square.
# Using timestamps, can you estimate whether people tweet more often in Ballard or Times Square?
# A baseball game happened today (May 11) between the Seattle Mariners and the Tampa Bay Rays. Using two geo searches, see if you can tell which city hosted the game. Note: if you do this some other day, you should pick a new sporting event.

'''Geolocation in the streaming APi'''

# Alter the streaming algorithm to include a "locations" filter. You need to use the order sw_lng, sw_lat, ne_lng, ne_lat for the four coordinates.  (Recall the stop button will stop an active process like the stream.)
# What are people tweeting about in Times Square today? (Bonus points: set up a bounding box around TS and around NYC as a whole.)
# Can you find words that are more likely to appear in Time's Square (hint: you'll need two bounding boxes)?
# Oregon State is playing basketball against UC Berkeley. Set up a bounding box around Berkeley and Corvallis, Oregon. Can you identify tweets about basketball? Who tweets more about the game? Can you tell which team is the home team? 

Geolocation hint: You can use <code>d = api.search(geocode='[lng],[lat],5mi)</code> to get Tweets from a 5 mile radius around a point. Use Google or Bing maps to get a similar bounding box around Fenway Park.


'''Who are my followers?'''

# Alter code example 1 (ex1_get_user_info.ipynb) to get your followers.
# For each of your followers, get *their* followers (investigate time.sleep to throttle your computation)
# Identify the follower you have that also follows the most of your followers.
# How many handles follow you but none of your followers?
# Repeat this for people you follow, rather than that follow you.