COMMUNITY STRUCTURE IN CONGRESSIONAL CONVERSATION NETWORKS Or, the paper formerly known as Relationships Among Twitter Conversation Networks, Language Use, and Congressional Voting Libby Hemphill, Jahna Otterbacher, and Matthew Shapiro
Transcript
1. COMMUNITY STRUCTURE INCONGRESSIONALCONVERSATION NETWORKSOr,
the paper formerly known asRelationships Among Twitter
ConversationNetworks, Language Use, and CongressionalVotingLibby
Hemphill, Jahna Otterbacher, andMatthew Shapiro
2. What do we expect to see? Interaction with constituents
5,8,10 Polarization, divided communities 1,3,4,8 More activity
among Republicans 9 More activity among Senators 9 Similar
presentations among men and women 7
3. Legend for graphsEdge PropertiesColor Gray = same party
Yellow = different partiesNode PropertiesColor Red = Republican
Blue = Democrat Yellow = IndependentShape Solid square = House
Solid circle = SenateSize In degreeOpacity Out degree
4. April 12, 2012 Shapiro, Hemphill, and OtterbacherCongress
mentioning each other:Excluding self-loops
5. April 12, 2012 Shapiro, Hemphill, and OtterbacherCongress
mentioning each other:including self-loops
6. April 12, 2012 Shapiro, Hemphill, and OtterbacherHouse
only
7. April 12, 2012 Shapiro, Hemphill, and OtterbacherSenate
only
9. Results Low density indicates low cohesion 6 Republicans,
Senators, and males more likely to mention across chambers Senators
and men more likely to mention across party lines Conservatives
mention each other more 1 Explicitly engage small subset of those
under surveillance 2
10. Takeaways New medium, not new behavior 11 Congress less
polarized than political blogosphere 1 Echo chamber more than
broadcast medium
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