The graph represents a network of 609 specified Twitter users (Bundestag August 2022). The network was obtained from Twitter on Saturday, 03 September 2022 at 11:11 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 : 6693
Unique Edges : 10675
Edges With Duplicates : 21041
Total Edges : 31716
Number of Edge Types : 5
Retweet : 7716
MentionsInRetweet : 4707
Mentions : 8474
Replies to : 4497
Tweet : 6322
Self-Loops : 6411
Reciprocated Vertex Pair Ratio : 0.0140130976691782
Reciprocated Edge Ratio : 0.0276388888888889
Connected Components : 32
Single-Vertex Connected Components : 22
Maximum Vertices in a Connected Component : 6651
Maximum Edges in a Connected Component : 31584
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.836307
Graph Density : 0.000321503521937123
Modularity : 0.298621
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 609 specified Twitter users (Bundestag August 2022). The network was obtained from Twitter on Saturday, 03 September 2022 at 11:11 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 August 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:
[116] euro,ticket [95] herzlichen,glückwunsch [85] bürgerinnen,bürger [80] olaf,scholz [75] hans,christian [73] 000,euro [66] michail,#gorbatschow [63] mitte,gesellschaft [62] olaf,#scholz [62] #bundestag,#brandner Top Word Pairs in Tweet in G1:
[60] gas,chamber [57] murdered,gas [56] bürgerinnen,bürger [53] olaf,scholz [46] deported,#auschwitz [45] michail,#gorbatschow [42] mitte,gesellschaft [35] #auschwitz,murdered [34] herzlichen,glückwunsch [34] 000,euro Top Word Pairs in Tweet in G2:
[51] euro,ticket [46] hans,christian [33] herzlichen,glückwunsch [32] christian,ströbele [30] abbau,dienstwagenprivilegs [27] fürs,klima [22] mittleren,einkommen [21] november,spät [21] tonnen,co2 [21] volle,solidarität Top Word Pairs in Tweet in G3:
[62] #bundestag,#brandner [61] #berlin,#bundestag [59] #wk194,#berlin [32] öffentlich,rechtlichen [26] #fürdiebürger,#brandnerunterwegs [26] #deutschlandabernormal,#wirhabendasdirektmandat [23] #wirhabendasdirektmandat,#deutschlandabernormal [21] #afd,#thüringen [21] #wirhabendasdirektmandat,#wk194 [19] #brandnerunterwegs,#afd Top Word Pairs in Tweet in G4:
[11] #lichtenberg,#wirmachennachbarschaft [11] porsche,chef [10] soziale,kälte [10] #ltwnds,#ltwnds22 [9] umverteilung,unten [9] 100,milliarden [8] mittlere,einkommen [8] katze,sack [8] bürgerinnen,bürger [8] milliarden,euro Top Word Pairs in Tweet in G5:
[28] dunjahayali,igorpianist [23] hasnainkazim,dunjahayali [19] regendelfin,igorpianist [18] mmittermeier,regendelfin [18] igorpianist,mmittermeier [17] kristianklinck,alexmuellerfdp [17] igorpianist,dunjahayali [17] dunjahayali,mmittermeier [17] mmittermeier,hasnainkazim [17] nmohnfeld,fhomburger Top Word Pairs in Tweet in G6:
[10] c_lindner,bmf_bund [9] dneuerer,c_lindner [9] bmf_bund,handelsblatt [9] handelsblatt,eskensaskia [9] eskensaskia,anaudretsch [9] anaudretsch,christianduerr [8] kalte,progression [8] euro,ticket [8] kalten,progression [8] 000,euro Top Word Pairs in Tweet in G7:
[10] rostock,lichtenhagen [10] bdew_ev,bweev [9] euro,ticket [8] herzlichen,glückwunsch [7] 49,euro [6] works,council [5] hello,fresh [5] bund,länder [5] brigitteknopf,spdde [5] bdew_ev,spdbt Top Word Pairs in Tweet in G8:
[5] euro,ticket [5] karin25155,h777werner [5] patrick_j_ber,spdde [5] spdde,jensbest [4] geburtstag,liebe [3] mittleren,einkommen [3] muebereck,bundestag [3] bundestag,bundeskanzler [3] bundeskanzler,spdbt [3] 000,kwh Top Word Pairs in Tweet in G9:
[9] thomasheilmann,derspiegel [8] radtkemdep,thomasheilmann [7] unvernunft2,bundeskanzler [7] bundeskanzler,spdde [4] moritz_harrer,c_lindner [4] spdde,ntvde [4] klauskosel1955,unvernunft2 [3] mitte,gesellschaft [3] kalte,progression [3] mrd,euro Top Word Pairs in Tweet in G10:
[44] liebe,freunde [14] letzte,woche [13] brauchen,#zeitenwende [11] #frieden,#freiheit [11] mitte,gesellschaft [11] stand,letzte [11] woche,zeitung [8] abbau,kalten [7] #charkiw,nacht [7] ukrainerinnen,ukrainer 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: