The graph represents a network of 5,130 Twitter users whose recent tweets contained "#cdupt19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 22 November 2019 at 16:25 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 17-minute period from Wednesday, 13 November 2019 at 20:55 UTC to Friday, 22 November 2019 at 16:13 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 5130
Unique Edges : 11797
Edges With Duplicates : 8557
Total Edges : 20354
Number of Edge Types : 4
Retweet : 8056
Mentions : 9982
Tweet : 1606
Replies to : 710
Self-Loops : 1665
Reciprocated Vertex Pair Ratio : 0.0201250190577832
Reciprocated Edge Ratio : 0.0394559856523689
Connected Components : 374
Single-Vertex Connected Components : 311
Maximum Vertices in a Connected Component : 4659
Maximum Edges in a Connected Component : 19758
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.300315
Graph Density : 0.00050859368259908
Modularity : 0.403696
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,130 Twitter users whose recent tweets contained "#cdupt19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 22 November 2019 at 16:25 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 17-minute period from Wednesday, 13 November 2019 at 20:55 UTC to Friday, 22 November 2019 at 16:13 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #cdupt19
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[765] #duohnec,#cdupt19 [656] akk,#cdupt19 [467] konrad,adenauer [403] #cdu,#cdupt19 [391] bewahrung,schöpfung [354] anspruch,bewahrung [341] cdu,#cdupt19 [338] #klimaschutz,#duohnec [336] cdu,zentrale [336] berlin,fehlt Top Word Pairs in Tweet in G1:
[674] #duohnec,#cdupt19 [357] bewahrung,schöpfung [322] anspruch,bewahrung [304] #klimaschutz,#duohnec [302] breaking,cdu [302] cdu,zentrale [302] zentrale,berlin [302] berlin,fehlt [302] fehlt,anspruch [302] schöpfung,partei Top Word Pairs in Tweet in G2:
[381] akk,#cdupt19 [237] friedrich,#merz [198] #cdupt19,passieren [198] passieren,#deutschland [198] #deutschland,10 [198] 10,abgehängt [198] abgehängt,erinnert [198] erinnert,geisterfahrer [198] geisterfahrer,völlig [198] völlig,bewusst Top Word Pairs in Tweet in G3:
[210] akk,#cdupt19 [175] cdu,#cdupt19 [85] #cdupt19,cdu [85] #cdupt19,#leipzig [83] #cdupt19,leipzig [69] cdu,parteitag [63] leipzig,#cdupt19 [58] cdu,deutschlands [56] christian,stetten [54] cdu,scheint Top Word Pairs in Tweet in G4:
[95] #cdupt19,simpler [95] simpler,ard [95] ard,familienfilm [95] familienfilm,übermächtige [95] übermächtige,oma [95] oma,hintergrund [95] hintergrund,fäden [95] fäden,zieht [95] zieht,überforderte [95] überforderte,mutter Top Word Pairs in Tweet in G5:
[23] #cdu,#cdupt19 [13] cdu,parteitag [12] #cdupt19,#cdu [9] leipzig,#cdupt19 [8] #cdupt19,#leipzig [8] #akk,#merz [7] #cdupt19,#cdubpt19 [7] friedrich,merz [6] parteitag,leipzig [6] #cdupt19,#akk Top Word Pairs in Tweet in G6:
[59] #cdupt19,#duohnec [56] christ,demokraten' [56] demokraten',oxymoron [56] oxymoron,bildung [56] bildung,#greenpeace [56] #greenpeace,#cdupt19 [56] #duohnec,#cdu [36] politik,schwarzen [36] schwarzen,null [34] ära,#merkel Top Word Pairs in Tweet in G7:
[22] hallaschka_hh,#cdupt19 [21] #cdupt19,#spdvorsitz [21] #spdvorsitz,#spd [21] #spd,#cdu [21] #cdu,#afd [21] #afd,#afdverbotjetzt [18] kramp,karrenbauer [17] #cdupt19,#cdubpt19 [15] wohlstand,wohlstand [14] tilman,kuban Top Word Pairs in Tweet in G8:
[70] akk,freut [53] #akk,#cdupt19 [46] lasst,ärmel [46] ärmel,hochkrempeln [46] hochkrempeln,anfangen [46] anfangen,annegret [46] annegret,kramp [46] kramp,karrenbauer [46] karrenbauer,350 [46] 350,amt Top Word Pairs in Tweet in G9:
[59] #cdupt19,cartoon [24] #cdu,parteitag [21] conservative,cdu [21] chancellor,angela [20] #cdupt19,convention [20] angela,merkel [18] germany's,largest [18] largest,political [18] political,party [18] party,gathered Top Word Pairs in Tweet in G10:
[66] #cdu,parteitag [63] angela,#merkel [63] #merkel,#cdu [62] parteitag,meinte [62] meinte,deutschland [62] deutschland,überall [62] überall,welt [62] welt,menschenrechte [62] menschenrechte,verteidigen [62] verteidigen,bisschen 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 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:
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Top Tweeters in G9:
Top Tweeters in G10: