Gary Bogle | George Mason University (original) (raw)
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Conference Papers by Gary Bogle
Politial Networks Conference, 2013
This paper compares congressional networks within the 112 th House of Representatives in order to... more This paper compares congressional networks within the 112 th House of Representatives in order to examine the similarities and differences between social media networks and job-related networks within organizations. An understanding of the dynamics between social media networks and job-related networks becomes more and more important as social media networks gain importance in the day-today activities of political leaders. The paper compares Twitter and cosponsorship networks to analyze and compare coalitions that form within the body. The results indicate that while congressional cosponsorship networks are structured by committee, state of representation, and ideology, congressional Twitter networks show little evidence of social media relationships grounded in committee or state. Congressional Twitter networks tend to be structured by ideology and the leadership hierarchy of the parties. Both data sets can be useful, but not sufficient, for ideological prediction of the members' voting patterns.
Politial Networks Conference, 2013
This paper compares congressional networks within the 112 th House of Representatives in order to... more This paper compares congressional networks within the 112 th House of Representatives in order to examine the similarities and differences between social media networks and job-related networks within organizations. An understanding of the dynamics between social media networks and job-related networks becomes more and more important as social media networks gain importance in the day-today activities of political leaders. The paper compares Twitter and cosponsorship networks to analyze and compare coalitions that form within the body. The results indicate that while congressional cosponsorship networks are structured by committee, state of representation, and ideology, congressional Twitter networks show little evidence of social media relationships grounded in committee or state. Congressional Twitter networks tend to be structured by ideology and the leadership hierarchy of the parties. Both data sets can be useful, but not sufficient, for ideological prediction of the members' voting patterns.