The graph represents a network of 606 specified Twitter users (Bundestag May 2022). The network was obtained from Twitter on Thursday, 02 June 2022 at 21:27 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 : 7809
Unique Edges : 14127
Edges With Duplicates : 27023
Total Edges : 41150
Number of Edge Types : 5
Retweet : 9802
Mentions : 11065
Replies to : 4783
MentionsInRetweet : 8234
Tweet : 7266
Self-Loops : 7327
Reciprocated Vertex Pair Ratio : 0.0229230932879481
Reciprocated Edge Ratio : 0.0448188010190818
Connected Components : 12
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 7793
Maximum Edges in a Connected Component : 41065
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.808405
Graph Density : 0.000315436397473281
Modularity : 0.297932
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 606 specified Twitter users (Bundestag May 2022). The network was obtained from Twitter on Thursday, 02 June 2022 at 21:27 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 May 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:
[410] herzlichen,glückwunsch [125] schleswig,holstein [114] cdu,csu [94] #bundestag,#brandner [93] olaf,scholz [87] #berlin,#bundestag [85] #wk194,#berlin [76] nordrhein,westfalen [70] daniel,günther [69] bundeskanzler,olafscholz Top Word Pairs in Tweet in G1:
[130] herzlichen,glückwunsch [45] robert,#habeck [43] schleswig,holstein [39] bm,cem_oezdemir [35] bürger,innen [34] stehen,seite [29] homo,bi [29] stimmen,wandel [28] monaneubaur,gruenenrw [28] ärzt,innen Top Word Pairs in Tweet in G2:
[169] herzlichen,glückwunsch [74] olaf,scholz [61] cdu,csu [58] bundeskanzler,olafscholz [55] schleswig,holstein [52] olaf,#scholz [47] daniel,günther [44] rot,grün [43] hendrikwuest,cdunrw_de [42] nordrhein,westfalen Top Word Pairs in Tweet in G3:
[94] #bundestag,#brandner [85] #wk194,#berlin [85] #berlin,#bundestag [56] #wirhabendasdirektmandat,#deutschlandabernormal [48] herzlichen,glückwunsch [44] #deutschlandabernormal,#gera [44] #gera,#greiz [44] #afd,#nrw [43] #afd,#thüringen [39] #thüringen,#wirhabendasdirektmandat Top Word Pairs in Tweet in G4:
[16] bezahlbare,mieten [14] herzlichen,glückwunsch [13] kolleg,innen [12] soziale,gerechtigkeit [11] 100,mrd [10] 100,000 [10] jules,el [10] el,khatib [10] mai,2022 [10] reichsten,deutschen Top Word Pairs in Tweet in G5:
[13] herzlichen,glückwunsch [11] ärzt,innen [7] andikempft,spdde [6] zuckerwaffe1,andikempft [5] euro,ticket [5] olaf,#scholz [5] spd,bundestagsfraktion [5] kaptain_space,spdde [5] abschaffung,#219a [5] jakobbla,woelken Top Word Pairs in Tweet in G6:
[15] noz_de,ewertburkhard [13] strack,zimmermann [9] eu,perspektive [9] okomuenster,wdr2 [8] schwere,waffen [8] zeroc60331895,noz_de [8] noz_de,chefofmembers [7] marie,agnes [6] unterstützung,#ukraine [6] roiebbelwoi,masaomoritr Top Word Pairs in Tweet in G7:
[6] one,of [4] 18,30 [3] lesung,diskussion [3] bibliothek,lichtenrade [3] schleswig,holstein [3] bundagrar,bund_net [3] bund_net,nabu_de [3] nabu_de,cem_oezdemir [2] diskussion,livestream [2] kantine,zukunft Top Word Pairs in Tweet in G8:
[16] bundestagspräsidentin,baerbelbas [16] #bundestagspräsidentin,baerbelbas [10] herzlichen,glückwunsch [9] baerbelbas,empfängt [9] #president,of [8] of,#germanbundestag [8] receives,#ambassador [8] baerbelbas,receives [7] bundestag,baerbelbas [7] #germanbundestag,baerbelbas Top Word Pairs in Tweet in G9:
[6] lususnaturaesic,holzheustefan [6] asts1972,wissing [5] guidonegele,bundestag_tweet [5] m_hundhausen,holzheustefan [4] wolflotter,fdpbt [4] flying__doc,halleverkehrt [4] haoyichen1983,fdp [3] fettiz,halleverkehrt [3] bitte,lesen [3] holzheustefan,sophiaglencairn Top Word Pairs in Tweet in G10:
[10] bundesfinanzminister,c_lindner [5] sven_kindler,dennisrohde [4] milliarden,euro [3] wachstum,stärken [3] minister,c_lindner [3] c_lindner,mai [3] mai,treffen [3] #eurogruppe,#eurogroup [3] live,bundesfinanzminister [3] dennisrohde,otto_fricke 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: