I used this page http://python-twitter.readthedocs.io/en/latest/twitter.html#module-twitter.api for an examination of all the methods I can use(and probably will use after I finish this application of the crawler)
== Test Plan ==
1) Construct a list of twitter handles that meet the following criteria:
a. Frequently post tweets containing buzzwords
b. Have a lot of followers
c. Are retweeted frequently
d. Post original content (don't just retweet other people)
2) Run Twitter Follower Finder on five of these handles per day that I work (10 handles a week)
3) Examine the top results (at least top 5, plus anyone who scores over a 10)
4) Determine whether or not BakerMcNair should follow them based on the following criteria (could create a more specialized crawler for this purpose but haven't done it yet. I think I should wait to do it until trying the process manually).
a. Frequently retweet people that they follow
b. Have a follower to following ratio close to 1:1 but no more than 2:1
c. Have content that will not annoy our feed (we could always mute these people though)
5) Make an excel sheet of who we chose to follow.
6) After one week, examine:
a. Did they follow us back?
b. Did they retweet or favorite any of our posts?
7) Determine the success of the program via
a. the percent of followed people who followed us back
b. If the new followers engage with our content
8) Make adjustments to algorithm and criteria for following.
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