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Home , Christian Lindner, Dorothee Martin, Fabio De Masi, Heiko Maas, Hubertus Heil, Martin Schulz

Mapping Political Networks with NodeXL Pro 10 days of tweets from the German in review Sep-14-2018 until Sep-23-2018 19. BUNDESTAG: USEAGE

Twitter Twitter users Party Color Seats users per seat CDU/CSU 246 127 52 % SPD 153 119 78 % AfD 92 85 92 % FDP 80 69 86 % Die Linke 69 58 84 % B90/Die Grünen 67 64 96 % no affiliation 2 2 100 % All 709 524 74 %

https://www.bundestag.de/parlament/plenum/sitzverteilung_19wp 2 DATA OVERVIEW

Dataset 1: Internal network Edge data contains only edges between Members of the Bundestag (MdBs) ▪ Tweets in analysis: 12,511 ▪ Vertices in network: 521 ▪ Edges in network: 13,109

Dataset 2: Full network Edge data includes edges to all Twitter users mentioned in tweets by MdBs ▪ Tweets in analysis: 12,502 ▪ Vertices in network: 3,492 ▪ Edges in network: 18,182

All network data is based on tweets published by Members of the German Bundestag (MdB) between 9/14/2018 and 09/23/2018. Both datasets were collected with the NodeXL Pro Twitter Users Network importer on Sep-24-2018. The maximum number of collected tweets per user was limited to 1000. 3 MOST POPULAR BY NUMBER OF FOLLOWERS

Rank Name (MdB) Party Twitter Handle Followers

1 SPD martinschulz 696,763

2 Die Linke swagenknecht 389,374

3 Die Linke gregorgysi 316,491

Where is ? 4 FDP c_lindner 303,746

She does not have a 5 SPD heikomaas 290,816 Twitter account. 6 SPD sigmargabriel 262,188

7 CDU/CSU peteraltmaier 236,536

8 CDU/CSU petertauber 191,161

9 Katrin Göring-Eckardt B90/Die Grünen goeringeckardt 132,907

10 SPD thomasoppermann 125,155 4 TIME SERIES ANALYSIS: JOINED TWITTER DATE

Election Election Election Sep-27-2009 Joined Twitter DateSep- 22(UTC)-2013 by month Sep-24-2017 20 18 16 14 12 10 8 6 4 2

0

Jun Jun Jun Jun Jun Jun Jun Jun

Sep Sep Sep Feb Sep Sep Sep Sep Feb Feb Sep Sep

Dec Dec Dec Dec Dec Dec Dec

Aug

Nov

Mar Mar Mar Mar Mar Mar Mar

May May May 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018

Rank Name (MdB) Party Twitter Handle Joined Twitter Date Ranking of the earliest 1 Die Linke fabiodemasi 5/15/2008 11:26 2 Johannes Vogel FDP johannesvogel 7/28/2008 12:19 Twitter adopters: 3 Matthias Höhn Die Linke matthiashoehn 8/1/2008 5:44 4 Katharina Dröge B90/Die Grünen katdro 8/4/2008 13:32 5 SPD hubertus_heil 8/22/2008 10:14 5 TOP TWEETERS

Total Tweets Rank Name (MdB) Party Twitter Handle (Overall time) 1 Johannes Kahrs SPD kahrs 89,700 2 Anke Domscheit-Berg Die Linke anked 83,819 3 B90/Die Grünen djanecek 37,238 Top Tweeters ranked by the overall 4 SPD ulrichkelber 27,576 number of published tweets: 5 Dorothee Bär CDU/CSU dorobaer 26,748 6 CDU/CSU uweschummer 26,448 7 Sven Kindler B90/Die Grünen sven_kindler 25,425 8 Kordula Schulz-Asche B90/Die Grünen k_sa 25,317

Tweets and Rank Name (MdB) Party Twitter Handle Replies per day (10 day-period) 1 AfD udohemmelgarn 94.6 Top Tweeters ranked by the 2 Johannes Kahrs SPD kahrs 68.6 3 Nicole Höchst AfD nicole_hoechst 55.3 average number of daily tweets 4 Jörg Schneider AfD schneider_afd 51.3 and replies in this analysis: 5 AfD stbrandner 44.0 6 SPD eskensaskia 25.3 7 CDU/CSU drandreasnick 16.9 8 Martin E. Renner AfD renner_afd 16.0 6 INTERNAL NETWORK: GROUP BY PARTY

Overall Hashtag Frequency #maaßen 935 #afd 864 #seehofer 372 #spd 352 #hambacherforst 254 #groko 229 #bundestag 198 #merkel 193 #csu 155 #hambibleibt 151

https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=168962 7 INTERNAL NETWORK: PARTY INTERACTION

Members of the SPD are in the center of the current discussions.

Members of the CDU do not interact with other parties.

Members of the AfD are ignored by all other parties.

https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=169060 8 INTERNAL NETWORK: GROUP METRICS

Reciprocated Average Graph Sentiment List: Sentiment List: Vertices Vertex Pair Geodesic Positive Word Negative Word Ratio Distance Density Percentage (%) Percentage (%) SPD 96 7.0% 3.3 1.5 % 6.7 % 2.1 % CDU/CSU 86 12.5% 3.0 1.0 % 6.0 % 1.7 % AfD 67 3.6% 2.3 3.2 % 4.7 % 3.1 %

B90/Die Grünen 64 19.2% 2.3 6.3 % 5.1 % 2.8 %

FDP 59 38.2% 2.6 4.4 % 5.1 % 2.5 % Die Linke 57 7.5% 3.0 2.7 % 4.8 % 2.8 %

Low graph density suggests that the CDU/CSU is more fragmented than the other parties. 9 INTERNAL NETWORK: GROUP BY CLUSTER

Each party forms one dominant group cluster, but politicians from the CDU/CSU are clustered into several different groups (G2, G4, G5, G8).

https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=168958 10 INTERNAL NETWORK: TOP INFLUENCERS

Betweenness Eigenvector Eigenvector Rank Twitter Handle Party Centrality Centrality Centrality 1 udohemmelgarn AfD 15052.838 0.033 2 kahrs SPD 13470.306 0.017 3 jensspahn CDU/CSU 10052.358 0.004 4 heikomaas SPD 9648.088 0.013 5 c_lindner FDP 8342.422 0.013 6 petra_sitte_mdb Die Linke 6814.713 0.002 7 larsklingbeil SPD 6673.891 0.005 8 renatekuenast B90/Die Grünen 6196.034 0.018 9 andischeuer CDU/CSU 6135.250 0.004 10 nicole_hoechst AfD 5979.089 0.029 11 peteraltmaier CDU/CSU 5784.979 0.004 12 nicolabeerfdp FDP 5376.057 0.004 13 hhirte CDU/CSU 5311.880 0.004 14 konstantinnotz B90/Die Grünen 5308.777 0.020 Betweenness 15 petrapaumahe Die Linke 5258.955 0.010 Centrality Betweenness Centrality is the quality of being a gatekeeper or exclusive connection to a sub-group. Eigenvector Centrality is the quality of being connected to well connected others. The upper right quadrant shows users who both connect to otherwise disconnected groups and who connect to well connected others.

https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=169126 11 FULL NETWORK: GROUP BY CLUSTER

https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=169105 12 TOP INFLUENCERS OUTSIDE THE BUNDESTAG

Betweenness Rank Twitter Handle Category Centrality 1 spdde Party 847625.777 2 welt News/Media 648103.451 3 spdbt Party 644902.036 4 bmi_bund Government 569865.485 5 spiegelonline News/Media 328562.387 6 die_gruenen Party 317240.055 The most influential Twitter users 7 csu Party 239943.680 8 gruenebundestag Party 211394.961 outside the Bundestag are related 9 fdpbt Party 200028.478 national party accounts and large 10 afd Party 197661.879 11 News/Media 189905.909 news media outlets. 12 cdu Party 182811.517 13 cducsubt Party 167652.705 14 dielinke Party 166128.475 15 markus_soeder Politician 152811.696 16 faznet News/Media 151105.723 17 olafscholz Politician 139425.802 18 kuehnikev Politician 130505.593 19 zeitonline News/Media 114535.428 20 News/Media 97183.013 13 LEARN MORE ABOUT SOCIAL NETWORK ANALYSIS WITH NODEXL PRO

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