Christy Warden (Work Log)

09/15/16:

2-4:45: Was introduced to the Wiki, built my page and was added to the RDP and Slack. Practiced basic Linux with Harsh and was introduced to the researchers.

09/20/16

2-2:30: Was introduced to the DB server and how to access it/mount bulk drive in the RDP. 2:30-3 Tried (and failed) to help Will upload his file to his database.

3-4:45: Learned from Harsh how to transfer Will's file between machines so that he could access it for his table (FileZilla/ Putty, but really we should've just put it in the RDP mounted bulk drive we built at the beginning.)

09/22/16

2-2:30: Labeled new supplies (USB ports). Looked online for a solution to labeling the black ports, sent link with potentially useful supplies to Dr. Dayton.

2:30-3:Went through all of the new supplies plus monitors, desktops and mice) and created Excel sheet to keep track of them (Name, Quantity, SN, Link etc.)

3-3:15: Added my hours to the wiki Work Hours page, updated my Work Log.

09/27/16

2-2:25: Read through the wiki page for the existing twitter crawler/example. Rest of time: Worked on adjusting our feeds for HootSuite and making the content on it relevant to the people writing the tweets/blogs. Christy Warden (Social Media)

This is a link to all of the things I did to the HootSuite and brainstorming about how to up our twitter/social media/blog presence.

09/29/16

Everything I did is inside of my social media research page http://mcnair.bakerinstitute.org/wiki/Christy_Warden_(Social_Media) I got the twitter crawler running and have created a plan for how to generate a list of potential followers/ people worth following to increase our twitter interactions and improve our feed to find stuff to retweet.

10/4/16

11-12:30: Directed people to the ambassador event.

12:30-3: work on my crawler (can be read about on my social media page)

3-4:45:donald trump twitter data crawl.

10/6/16

12:15-4:45: Worked on the Twitter Crawler. It currently takes as input a name of a twitter user and returns the active twitter followers on their page most likely to engage with our content. I think my metric for what constitutes a potential follower needs adjusting and the code needs to be made cleaner and more helpful. Project is in Documents/Projects/Twitter Crawler in the RDP. More information and a link to the page about the current project is on my social media page Christy Warden (Social Media)

10/18/16

1-2:30:updated the information we have for the Donald Trump tweets. The data is in the Trump Tweets project in the bulk folder and should have his tweets up until this afternoon when I started working.

2:30-5:Continued (and completed a version of) the twitter crawler. I have run numerous example users through the crawler and checked the outputs to see if the people I return are users that would be relevant to @BakerMcNair and generally they are. Christy Warden (Social Media) for more information

5 - 5:30: Started reading about the existing eventbrite crawler and am brainstorming ideas for how we could use it. (Maybe incorporate both twitter and eventbrite into one application?)

10/25/16

12:15-4:45: Worked on the Twitter Crawler. I am currently collecting data by following around 70-80 people while I am at work and measuring the success of the follow so that I can adjust my program to make optimal following decisions based on historical follow response. More info at Christy Warden (Social Media)

10/27/16

12:15-3: First I ran a program that unfollowed all of the non-responders from my last follow spree and then I updated by datas about who followed us back. I cannot seem to see a pattern yet in the probability of someone following us back based on the parameters I am keeping track of, but hopefully we will be able to see something with more data. Last week we had 151 followers, at the beginning of today we had 175 follows and by the time that I am leaving (4:45) we have 190 followers. I think the program is working, but I hope the rate of growth increases.

3-4 SQL Learning with Ed

4-4:45 Found a starter list of people to crawl for Tuesday, checked our stats and ran one more starting position through the crawler. Updated data sheets and worklog. The log of who I've followed (and if they've followed back) are all on the twitter crawler page.