Z Score,T Score, Percential Rank and Box Plot Graph
Interoperability of a Social Media Observatory
1. Interoperability of
a Social Media Observatory
Karissa McKelvey
And Filippo Menczer
Center for Complex Networks and Systems Research
School of Informatics and Computing
Indiana University, Bloomington
1
3. Can we use social media as
laboratories for social
science?
truthy.indiana.edu 3
4. Political Polarization on Twitter Michael Conover, Jacob Ratkiewicz, Bruno Gonçalves, Alessandro Flammini
& Filippo Menczer International Conference on Weblogs and Social Media 2011
truthy.indiana.edu 4
5. Competition for attention
Competitions among topics in a world with limited attention Nature Scientific
Report, 2012. Lilian Weng, Alessandro Flammini, Alessandro Vespignani and Filippo
Menczer.
#jan25
truthy.indiana.edu 5
17. Model
• Events
– Post on a social media site
• Users
– Actors in the post
– Sender, receiver, forwarder, etc
• Meme
– Discernable unit of information transfer
truthy.indiana.edu 17
31. API & Website
• Filterable and searchable interface to find
memes of interest
• Endpoints for users to access data
programmatically
• Visualizations (saw earlier)
truthy.indiana.edu 31
32. Further Thoughts
• Potential uses:
– Pedagogy
– Prototyping
– Research
• Terms of Service
– Tweet text
– Derived Data
truthy.indiana.edu 32
33. Thanks
Papers at cnets.indiana.edu/groups/nan/truthy
Sandro Flammini
Bruno Conçalves
Jacob Ratkiewicz
Lilian Weng
Mike Conover
Johan Bollen
Przemek Grabowicz
Mark Meiss
Alex Vespignani
Alex Rudnick
Luca Aiello
Filippo Menczer
truthy.indiana.edu 33
Notas del editor
When people communicate online, they leave digital tracesWith easy access to the data we create on social media, social scientists can study human social behavior on a larger scale than has ever been possible in human history.
Are there well-defined communication behaviors that characterizethe activities of influential actors?What is the role of bridging users in facilitating informationtransfer between ideologically opposed communities?Who are the opinion leaders, and how dothey engage in frame-making and agenda-setting?
The polarization of political communities
The evolution of memes
Meme DetectionStatic & Interactive VisualizationsData downloads
Bundle each event, in this case a tweet, into groups based on common features.
Connect the users that communicate
visualizations of social media communication which can show us the network topology.Each person is represented by a nodeA line represents an information transfer between those two peopleOrange lines are mentions, and blue lines are retweetsThe width of the edge is a measure of the strength of that relationship; computed by how many events of that type occurred between those two peopleWe can see different characteristics in these networks for different types of communication. A network centered around a celebrity like Barack Obama , for example, has thousands of people mentioning and retweeting that person. A meme that is propagated by spammers will look much different, for example when a few users constantly retweeteachother
The meme is the account in the center. A bunch of accounts collude by retweeting each other (as displayed by the thick blue edges) to promote a particular website
Meme DetectionStatic & Interactive VisualizationsData downloads