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Tuesday, September 10 • 15:00 - 16:00
Social Network Analysis – Insights from Mapping the Twitter Network of the German Bundestag

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Relevance & Research Questions: Of the 709 members of the German Bundestag 524 have Twitter accounts. How do members of the Bundestag tweet about one another? What factions can be found? How does party affiliation align with network clustering? Which parties are most central, which are most peripheral? Which politicians are most influential? How do vertex centrality metrics align with party influence?
Methods & Data: Social network and content analysis is applied to tweets published by members of the current Bundestag. The data is drawn from the free Twitter API via NodeXL Pro. Overall network metrics, cluster analysis and vertex centrality metrics are considered to measure, map and compare the changing networks of tweets to reveal the hidden patterns of affiliation and conflict.
Added Value: Social media network analysis of content from elected officials can reveal implicit coalitions and highlight leaders, key topics and linked web resources. This method complements traditional methods by offering a comprehensive overview of the structure of connections.

avatar for Harald Meier

Harald Meier

Chief Data Scientist, Social Media Research Foundation
Diplom-Geograf Harald Meier absolvierte sein Studium an der Universität Münster und arbeitet seit 2015 als Chief Data Scientist für die Social Media Research Foundation, wo er an der Entwicklung des Netzwerkanalyse-Tools NodeXL beteiligt ist. Harald ist Experte für die Analyse... Read More →

Tuesday September 10, 2019 15:00 - 16:00 CEST
Raum C55

Attendees (4)