The graph represents a network of 607 specified Twitter users (Bundestag October 2022). The network was obtained from Twitter on Thursday, 03 November 2022 at 18:15 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
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.
Author Description
Vertices : 8053
Unique Edges : 14694
Edges With Duplicates : 26209
Total Edges : 40903
Number of Edge Types : 5
Retweet : 10688
Replies to : 5164
Mentions : 10038
MentionsInRetweet : 7073
Tweet : 7940
Self-Loops : 8003
Reciprocated Vertex Pair Ratio : 0.0193804443069945
Reciprocated Edge Ratio : 0.0380239672346665
Connected Components : 15
Single-Vertex Connected Components : 11
Maximum Vertices in a Connected Component : 8035
Maximum Edges in a Connected Component : 40843
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.781084
Graph Density : 0.000304999374178359
Modularity : 0.297398
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 607 specified Twitter users (Bundestag October 2022). The network was obtained from Twitter on Thursday, 03 November 2022 at 18:15 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterUsers
Graph Term : Bundestag October 2022
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 Word Pairs in Tweet in Entire Graph:
[323] herzlichen,glückwunsch [153] kritische,infrastruktur [102] 200,mrd [96] cdu,csu [85] hamburger,hafen [83] unseres,landes [81] kritischen,infrastruktur [68] saudi,arabien [67] olaf,scholz [60] bürgerinnen,bürger Top Word Pairs in Tweet in G1:
[59] #bundestag,#brandner [56] #wk194,#berlin [56] #berlin,#bundestag [54] murdered,gas [52] herzlichen,glückwunsch [51] #deutschlandabernormal,#wirhabendasdirektmandat [51] #afd,#unserlandzuerst [50] gas,chamber [45] deported,#auschwitz [43] unseres,landes Top Word Pairs in Tweet in G2:
[122] herzlichen,glückwunsch [58] kritischen,infrastruktur [56] kritische,infrastruktur [49] eg,savechildrende [46] schutz,kritischen [38] saudi,arabien [33] 15,23 [31] brennstäbe,geben [30] ausbau,erneuerbaren [29] kohleausstieg,2030 Top Word Pairs in Tweet in G3:
[89] herzlichen,glückwunsch [33] 12,euro [27] leben,freiheit [26] stephanweil,spdnds [25] #mindestlohn,12 [25] guten,händen [24] bürgerinnen,bürger [21] olaf,scholz [19] friedrich,#merz [18] ost,west Top Word Pairs in Tweet in G4:
[39] kritische,infrastruktur [37] 200,mrd [32] liebe,freunde [32] weiterlaufen,lassen [28] ans,netz [28] 2024,weiterlaufen [27] betrieb,befindlichen [27] #cl,pk [27] saß,direkt [27] befindlichen,kernkraftwerke Top Word Pairs in Tweet in G5:
[23] saudi,arabien [18] herzlichen,glückwunsch [13] georgrestle,swagenknecht [11] mieter,innen [11] öffentliche,hand [10] pascal,meiser [10] swagenknecht,dielinke [8] kritische,infrastruktur [8] jemen,krieg [8] soziale,gerechtigkeit Top Word Pairs in Tweet in G6:
[9] loss,damage [8] technischen,fehler [8] fehler,falsche [8] formulierung,lesen [8] falsche,formulierung [8] originaltweet,technischen [8] lesen,sorry [7] sorry,tweet [7] matthiasgrimm7,asltf [7] umgehend,korrigiert Top Word Pairs in Tweet in G7:
[7] tilojung,greenpeace_de [7] greenpeace_de,tierschutz_bund [4] janboehm,zdfmagazin [3] zusätzliche,monate [3] evin,gefängnis [2] tierhalter,innen [2] verbraucher,innen [2] die_gruenen,gruenebundestag [2] janfleischhauer,olliluksic [2] 70,000 Top Word Pairs in Tweet in G8:
[6] taro,kono [4] jan_wiebe,linksfraktion [4] oktober,2022 [4] onkel_mo,jan_wiebe [3] position,ukraine [3] tagesschau_eil,db_info [3] zwischenlager,nord [3] jan_wiebe,janschipmann [3] kkw,rheinsberg [3] fürstenberg,havel Top Word Pairs in Tweet in G9:
[5] unterstützung,#ukraine [5] kritische,infrastruktur [4] mil,unterstützung [4] cdu,csu [3] eu,uk [3] cducsubt,cdu_csu_ep [3] hamburger,hafen [3] wegeheld,hinschauhen [3] of,russian [3] cdu,außenpolitiker Top Word Pairs in Tweet in G10:
[7] christian_henne,fdp [4] cbvttr,colinhajok [4] colinhajok,bens085 [4] mrd,schulden [4] kante,zeigen [4] rot,grün [3] einfachich2017,dramadj [3] #habeck,#gruenen [3] weiterlaufen,lassen [2] weigern,höhere Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: