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A Network Analysis of Twitter Interactions by Members of the U.S. Congress
Joshua M. Chamberlain
,
Francesca Spezzano
,
Jaclyn J. Kettler
, Bogdan Dit
Political Science Department
Computer Science Department
Boise State University
Research output
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peer-review
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Dive into the research topics of 'A Network Analysis of Twitter Interactions by Members of the U.S. Congress'. Together they form a unique fingerprint.
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Social Sciences
United States of America
100%
Political Science
100%
Political Doctrines
100%
U.S. Congress
100%
Political Agenda
100%
Network Analysis
100%
Echo Chambers
100%
Public Perception
100%
Arts and Humanities
United States of America
100%
senator
100%
Metrics
100%
Network Analysis
100%
Political Science
100%
Political Agenda
100%
U.S. Congress
100%
Political Ideology
100%
Keyphrases
Intra-party
50%
Community Detection
50%
Political Affiliation
50%
Echo Chamber Effect
50%
Party Factions
50%
Spearman Rank Correlation
50%
Interaction Network
50%
Computer Science
United States of America
100%
Community Detection
50%
Political Agenda
50%
Detection Algorithm
50%
Mathematics
Community Detection
100%
Spearman's Coefficient
100%
Psychology
United States of America
100%
Political Ideology
50%