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Bundestag Follower Network 2023-01-26 Internal network (experimental version)
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From:
SMRFoundation
Uploaded on:
February 02, 2023
Short Description:
Bundestag Follower Network 2023-01-26 via NodeXL https://bit.ly/3jvwhSf
@karl_lauterbach
@c_lindner
@swagenknecht
@olafscholz
@abaerbock
@gregorgysi
@heikomaas
@cem_oezdemir
@_friedrichmerz
@alice_weidel

Top hashtags:


Description:
Description
The graph represents a network of 616 specified Twitter users (Bundestag Follower Network 2023-01-26). The network was obtained from Twitter on Friday, 27 January 2023 at 16:53 UTC.

It shows who was mentioned or replied to in the users' recent tweets, along with some of the follow relationships.

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.


[191] mitglied
[185] mdb
[104] sprecher
[93] deutschen
[91] bundestages
[86] bundestagsabgeordneter
[83] spd
[82] wahlkreis
[66] cdu
[63] bundestagsabgeordnete

[76] mdb
[71] mitglied
[57] fdpbt
[45] gruenebundestag
[41] fdp
[34] sprecher
[30] bundestages
[29] deutschen
[23] bundestag
[20] bundestagsabgeordnete

[78] spd
[40] mitglied
[39] mdb
[32] spdbt
[30] bundestagsabgeordneter
[29] wahlkreis
[27] bundestagsabgeordnete
[22] sprecher
[19] bundestages
[17] bundestagsfraktion

[65] cdu
[39] mdb
[34] mitglied
[33] deutschen
[33] csu
[32] bundestagsabgeordneter
[32] cducsubt
[27] wahlkreis
[19] sprecher
[19] bundestages

[46] mitglied
[31] mdb
[29] afd
[29] sprecher
[23] bundestages
[23] afdimbundestag
[22] linksfraktion
[18] deutschen
[16] #afd
[16] wahlkreis

[61] mitglied,deutschen
[54] deutschen,bundestages
[35] mitglied,bundestages
[20] direkt,gewählter
[20] deutschen,bundestag
[20] cdu,csu
[17] spd,bundestagsfraktion
[17] deutschen,bundestags
[16] 90,grünen
[16] arbeit,soziales

[18] mitglied,deutschen
[15] deutschen,bundestages
[15] 90,grünen
[14] bündnis,90
[14] mitglied,bundestages
[10] sprecher,fdpbt
[9] mdb,gruenebundestag
[8] deutschen,bundestag
[8] mdb,fdpbt
[8] bundesvorstand,fdp

[16] spd,bundestagsfraktion
[10] mitglied,deutschen
[9] direkt,gewählter
[9] mitglied,bundestages
[9] deutschen,bundestages
[8] spd,bundestagsabgeordneter
[8] spd,bundestagsabgeordnete
[8] vorsitzender,spd
[6] sprecher,spdbt
[6] bundestagsabgeordneter,wahlkreis

[22] mitglied,deutschen
[20] cdu,csu
[18] deutschen,bundestages
[8] csu,bundestagsfraktion
[8] deutschen,bundestags
[8] direkt,gewählter
[7] bundestagsabgeordneter,wahlkreis
[7] deutschen,bundestag
[6] csu,fraktion
[6] cdu,bundestagsabgeordneter

[12] deutschen,bundestages
[11] mitglied,deutschen
[11] mitglied,bundestages
[6] sprecher,afdimbundestag
[6] sprecher,afd
[5] parlamentarischer,geschäftsführer
[5] afd,fraktion
[4] afdimbundestag,mdb
[4] afd,bundestagsfraktion
[3] afdimbundestag,afd

Author Description


Overall Graph Metrics
Vertices : 588
Unique Edges : 44616
Edges With Duplicates : 0
Total Edges : 44616
Number of Edge Types : 1
Follows : 44616
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0.376187538556447
Reciprocated Edge Ratio : 0.546709700555854
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 588
Maximum Edges in a Connected Component : 44616
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.882931
Graph Density : 0.129263289642944
Modularity : Not Applicable
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 616 specified Twitter users (Bundestag Follower Network 2023-01-26). The network was obtained from Twitter on Friday, 27 January 2023 at 16:53 UTC.

It shows who was mentioned or replied to in the users' recent tweets, along with some of the follow relationships.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterUsers
Graph Term : Bundestag Follower Network 2023-01-26
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Top Tweeters in Entire Graph:
@anked
@ralf_stegner
@olliluksic
@djanecek
@renatekuenast
@sebroloff
@juliakloeckner
@sven_kindler
@k_sa
@dorobaer

Top Tweeters in G1:
@olliluksic
@djanecek
@sven_kindler
@k_sa
@konstantinnotz
@anikomerten
@svenlehmann
@marcobuschmann
@dfoest
@sarananni

Top Tweeters in G2:
@sebroloff
@larsklingbeil
@w_sk
@martinrosemann
@miro_spd
@derya_tn
@thomashitschler
@frankschwabe
@soenkerix
@helmut_kleebank

Top Tweeters in G3:
@juliakloeckner
@dorobaer
@rkiesewetter
@wanderwitz
@mgrossebroemer
@matthiashauer
@meister_schafft
@erwin_rueddel
@arminlaschet
@christianhirte

Top Tweeters in G4:
@anked
@ralf_stegner
@renatekuenast
@stbrandner
@schneider_afd
@petrapaumahe
@c_lindner
@goeringeckardt
@renner_afd
@gtzfrmming


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