The graph represents a network of 607 specified Twitter users (Bundestag September 2022). The network was obtained from Twitter on Sunday, 02 October 2022 at 11:36 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 : 7960
Unique Edges : 14651
Edges With Duplicates : 29544
Total Edges : 44195
Number of Edge Types : 5
Retweet : 11978
MentionsInRetweet : 7695
Replies to : 5245
Mentions : 10702
Tweet : 8575
Self-Loops : 8651
Reciprocated Vertex Pair Ratio : 0.0208704504963095
Reciprocated Edge Ratio : 0.0408875592121665
Connected Components : 16
Single-Vertex Connected Components : 14
Maximum Vertices in a Connected Component : 7944
Maximum Edges in a Connected Component : 44148
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.756309
Graph Density : 0.000316556396759523
Modularity : 0.277011
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 607 specified Twitter users (Bundestag September 2022). The network was obtained from Twitter on Sunday, 02 October 2022 at 11:36 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 September 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:
[209] robert,#habeck [196] robert,habeck [192] herzlichen,glückwunsch [170] cdu,csu [147] milliarden,euro [129] olaf,scholz [125] mrd,euro [125] bürger,innen [108] bürgerinnen,bürger [101] unserem,land Top Word Pairs in Tweet in G1:
[103] olaf,scholz [93] herzlichen,glückwunsch [84] bundeskanzler,olaf [75] murdered,gas [68] milliarden,euro [67] cdu,csu [60] gas,chamber [55] bundeskanzler,olafscholz [53] bürgerinnen,bürger [53] mrd,euro Top Word Pairs in Tweet in G2:
[59] kalte,progression [48] anlasslose,#vorratsdatenspeicherung [46] kalten,progression [44] rentner,studierende [40] ausgleich,kalte [37] mitte,gesellschaft [37] rahmen,schuldenbremse [35] ans,netz [34] arbeitende,mitte [34] robert,#habeck Top Word Pairs in Tweet in G3:
[121] robert,habeck [120] robert,#habeck [52] cdu,csu [52] bürger,innen [45] ausbau,erneuerbaren [42] bm,cem_oezdemir [42] herzlichen,glückwunsch [41] milliarden,euro [40] #cdu,#csu [38] 65,milliarden Top Word Pairs in Tweet in G4:
[20] soziale,gerechtigkeit [20] soziale,kälte [19] herzlichen,glückwunsch [14] ip,adressen [13] milliarden,euro [13] mutigen,frauen [13] linksfraktion,dielinke [12] cdu,csu [12] strom,gas [12] #le0509,#heisserherbst Top Word Pairs in Tweet in G5:
[74] #berlin,#bundestag [74] #bundestag,#brandner [73] #wk194,#berlin [44] #unserlandzuerst,#afd [41] #gera,#greiz [40] #greiz,#altenburg [39] #altenburg,#altenburgerland [35] #wirhabendasdirektmandat,#deutschlandabernormal [32] #deutschlandabernormal,#wirhabendasdirektmandat [29] #afd,#thüringen Top Word Pairs in Tweet in G6:
[5] bayern,braucht [4] bayern,bayern [4] karlbaer,dimr_berlin [4] dangurneyh,edzardernst [4] #energy,#gas [3] öffentlich,rechtlichen [3] bmel,cem_oezdemir [3] kativahp,beauftragtgg [3] beauftragtgg,idf [3] idf,cufi Top Word Pairs in Tweet in G7:
[7] keep,calm [7] calm,carry [7] carry,united [6] drthomasmohr,heilrath [5] alexmuellerfdp,kristianklinck [5] highres_bn,wegmitputin [4] bürger,innen [4] fabian_baumert,nicobee15 [4] wegmitputin,bootslave692 [3] ukraine,unterstützen Top Word Pairs in Tweet in G8:
[7] loss,damage [6] #lossanddamage,finance [6] finance,facility [6] 100,milliarden [5] climate,crisis [5] fossil,fuel [5] climate,change [5] of,climate [4] #klimakrise,aufhalten [4] climate,conference Top Word Pairs in Tweet in G9:
[5] olafgersemann,welt [5] l8mal,sven_kindler [5] sven_kindler,derspiegel [5] derspiegel,traufetter [5] traufetter,gruenebundestag [5] gruenebundestag,fdp_fraktion [5] fdp_fraktion,spdde [5] spdde,finanzwende [5] finanzwende,bmwk [5] bmwk,bmf_bund Top Word Pairs in Tweet in G10:
[4] initiatived2030,kommlabor [4] kommlabor,alexanderfink77 [4] alexanderfink77,vbanholzer [4] vbanholzer,schfrrn [4] schfrrn,gsohn [4] wozukunft,dirklangolf [4] martingaedt,ammwiese [4] ammwiese,seni_bl [4] seni_bl,kooptech [4] geraldswarat,armandogarcasc1 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: