Christy Warden (Social Media)

09/27/16

Talked with Ramee about what kind of content the twitter account seeks to retweet/take links from. Issues she has with HootSuite: - Content in the feed is not relevant, often from illegitimate sources (random people's tweets that happen to contain the word entrepreneurship)

Goals for HOOTSUITE: - improve filters to grab tweets with legitimate content - innovation/research good from most fields, specifically life sciences/ health - preferred from around Houston/ San Francisco/ Boston

THINGS I DID for HOOTSUITE: - add the filter:link to the HootSuite feeds to only include tweets which link to external sources (hopefully increases legitimate tweets) - add geolocation (Houston) to the innovation feed to decrease scope of search - added "patent" search to entrepreneurship field and "research" to innovation - required both feeds to filter for tweets containing links

ANTICIPATING IMPORTANT TWEETS/ BLOGPOSTS BRAINSTORMING: - example given by Dr. Egan: We could have created a blogpost linking all of the Channels that the debates would be shown on - looking for a calendar to anticipate http://www.zerohedge.com/news/2015-12-31/whats-ahead-2016-key-events-next-12-months ?? - Potentially have people write blogposts with searchable terms/tags just before events ("10 Nobel Prize Innovators Who blah blah blah" right before the announcement of Nobel Prizes this October)

FINDING PEOPLE WHO FOLLOW PEOPLE LIKE US: I am reading about this guy's crawler https://github.com/bianjiang/tweetf0rm which appears to do this. I will continue looking at it on Thursday.

09/29/16

MAKING NOTE OF OUR EXISTING CRAWLERS

Existing Crawlers

Spent a significant amount of time with Harsh tying to figure out how to get the existing twitter crawler to work and download its output file to a place we can access.

HERE IS THE PLAN Making plans for how to use twitter crawler to find relevant people to follow: I am changing the twitter crawler so that it will do this:

WE PLUG IN: The twitter handle of a person we think posts content similar to ours or whose followers are likely to overlap with people interested in us What the crawler will do: Crawl their tweets and make a count for each tweet for how many entrepreneur buzzwords we find. Take the top scoring tweet and crawl the followers of that tweet. Rank the RTs by selection criteria which I haven't totally decided yet but might include: - How many of their tweets contain buzzwords - their follower/following ration - how active they are

OUTPUT: a list of twitter handles of people who are similar to us/ like our kind of content/ are likely to follow back and interact with us.

10/04/16

I spent the majority of today building a function which takes as an input a username and returns a list of people who use our buzzwords and who we should potentially follow. The function is almost done and I estimate I can finish it by Thursday.

For about an hour and a half, I compiled a datasheet of trump's twitter activity since his nomination. I emailed this file to Ed and Anne.

10/06/16

Christy Warden (Twitter Crawler Application 1)

10/18/16

The first crawler is complete! Returns an excel file of ranked retweeters of relevant tweets. I tested this on a bunch of users and am getting results that I think are good. The next step is to talk to someone about what exactly we want to do with this information. One issue is when someone with tweets that are good have no retweeters. Makes it difficult to get any information out of their page. Again, this is located in my RDP page at Documents/My Projects/Twitter Crawler/

10/20/16

Today I created a plan to experiment with the crawler which is explained on Christy Warden (Twitter Crawler Application 1) I researched and followed accounts recommended by the crawler and plan to check back on Tuesday to see if they follow back. After I do this for a few times, I will be able to see how to adjust my criteria for choosing someone to follow and plan on automating the system. The end goal would be for me to run a large program every time I come to work, which unfollows people we followed who didn't follow back, follows new people based on the algorithms that I am testing. I am spending time today figuring out how to automate the follow/unfollow process so that this can be achieved quickly once I get some results from this initial follow spree.