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.
[568] of
[545] mitglied
[416] impressum
[379] twittert
[378] berlin
[363] privat
[336] account
[302] spd
[300] politik
[294] sprecher
[332] of
[290] spd
[244] mitglied
[207] privat
[201] berlin
[198] social
[177] twittert
[148] sprecher
[140] politik
[140] impressum
[245] impressum
[244] cdu
[225] of
[208] mitglied
[182] fdp
[175] twittert
[149] berlin
[145] privat
[140] politik
[138] account
[228] afd
[130] #afd
[93] mitglied
[61] account
[54] fraktion
[53] sprecher
[50] alternative
[48] deutschland
[44] offizieller
[40] afdimbundestag
[88] mitglied,deutschen
[81] deutschen,bundestages
[73] bündnis,90
[72] twitter,account
[72] 90,grünen
[66] impressum,datenschutz
[62] offizieller,account
[59] member,of
[53] baden,württemberg
[51] privat,unterwegs
[71] bündnis,90
[70] 90,grünen
[39] member,of
[36] mastodon,social
[31] privat,unterwegs
[29] gruene,social
[28] mitglied,deutschen
[28] privater,account
[27] spd,bundestagsfraktion
[27] vorsitzender,spd
[51] mitglied,deutschen
[44] deutschen,bundestages
[42] impressum,datenschutz
[34] cdu,csu
[29] social,media
[23] twitter,account
[23] head,of
[23] offizieller,account
[20] nordrhein,westfalen
[19] privat,unterwegs
[37] afd,fraktion
[33] alternative,deutschland
[26] twitter,account
[23] offizieller,account
[19] sachsen,anhalt
[16] offizieller,twitter
[15] vorsitzender,afd
[14] account,#afd
[14] sprecher,afd
[12] deutschen,bundestages
Author Description
Vertices : 6800
Unique Edges : 167503
Edges With Duplicates : 0
Total Edges : 167503
Number of Edge Types : 1
Follows : 167503
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 6800
Maximum Edges in a Connected Component : 167503
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.956629
Graph Density : 0.00362300251767128
Modularity : 0.309128
NodeXL Version : 1.0.1.508
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=288394
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.
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3: