The graph represents a network of 7,760 Twitter users whose recent tweets contained "Merz OR Spahn OR Laschet", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Thursday, 13 February 2020 at 09:14 UTC.
The tweets in the network were tweeted over the 17-hour, 59-minute period from Wednesday, 12 February 2020 at 15:01 UTC to Thursday, 13 February 2020 at 09:01 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 : 7760
Unique Edges : 10824
Edges With Duplicates : 2605
Total Edges : 13429
Number of Edge Types : 5
MentionsInRetweet : 1473
Retweet : 5275
Tweet : 1962
Replies to : 2188
Mentions : 2531
Self-Loops : 2003
Reciprocated Vertex Pair Ratio : 0.0132536123567514
Reciprocated Edge Ratio : 0.0261605035405193
Connected Components : 1064
Single-Vertex Connected Components : 754
Maximum Vertices in a Connected Component : 6122
Maximum Edges in a Connected Component : 11585
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.607691
Graph Density : 0.000168876050824915
Modularity : 0.639184
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 7,760 Twitter users whose recent tweets contained "Merz OR Spahn OR Laschet", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Thursday, 13 February 2020 at 09:14 UTC.
The tweets in the network were tweeted over the 17-hour, 59-minute period from Wednesday, 12 February 2020 at 15:01 UTC to Thursday, 13 February 2020 at 09:01 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 : Merz OR Spahn OR Laschet
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:
[1499] friedrich,merz [1106] vergewaltigung,ehe [877] ändert,bestehen [876] titel,ändert [876] bestehen,wohlstandsillusion [875] #merz,nen [875] nen,laptop [875] laptop,voll [875] voll,sensibler [875] sensibler,informationen Top Word Pairs in Tweet in G1:
[125] friedrich,merz [76] merz,cdu [55] cdu,vorsitzender [43] cdu,vorsitz [38] vorsitzender,kandidieren [34] #merz,#cdu [29] jens,spahn [29] friedrich,#merz [20] cdu,chef [19] kramp,karrenbauer Top Word Pairs in Tweet in G2:
[663] vergewaltigung,ehe [661] strafbarkeit,vergewaltigung [657] merz,stimmte [657] stimmte,strafbarkeit [657] ehe,renten [657] renten,voll [657] voll,besteuern [657] besteuern,eintrittsalter [657] eintrittsalter,70 [657] 70,erhöhen Top Word Pairs in Tweet in G3:
[653] #merz,nen [653] nen,laptop [653] laptop,voll [653] voll,sensibler [653] sensibler,informationen [653] informationen,verloren [653] verloren,obdachloser [653] obdachloser,zurückgab [653] zurückgab,ließ [653] ließ,millionär Top Word Pairs in Tweet in G4:
[130] cdu,vorsitzender [129] merz,cdu [107] friedrich,merz [106] vorsitzender,kandidieren [61] _friedrichmerz,jensspahn [53] dpa,meldet [51] meldet,merz [42] _friedrichmerz,cdu [36] cdu,vorsitz [36] jensspahn,arminlaschet Top Word Pairs in Tweet in G5:
[149] friedrich,#merz [121] vergewaltigung,ehe [98] friedrich,merz [90] #cdu,zeitonline [89] ehe,strafbar [88] 20,vergewaltigung [88] strafbar,138 [88] 138,stimmen [88] stimmen,gesetz [88] gesetz,friedrich Top Word Pairs in Tweet in G6:
[68] nächsten,wochen [64] merkel,weiß [64] weiß,parteivorsitzender [64] parteivorsitzender,merz [64] merz,fall [64] fall,2021 [64] 2021,weitermachen [64] weitermachen,ließe [64] ließe,stehen [64] stehen,nächsten Top Word Pairs in Tweet in G7:
[176] friedrich,merz [145] vergewaltigung,ehe [123] stelle,nochmal [123] nochmal,hinweisen [123] hinweisen,friedrich [123] merz,1997 [123] 1997,fand [123] fand,vergewaltigung [123] ehe,verbrechen [123] verbrechen,schwere Top Word Pairs in Tweet in G8:
[67] friedrich,#merz [50] wertkonservativen,raum [50] raum,geben [46] #merz,fordert [46] fordert,#cdu [46] #cdu,müsse [46] müsse,liberalen [46] liberalen,wertkonservativen [46] geben,tue [46] tue,liefert Top Word Pairs in Tweet in G9:
[67] jens,spahn [61] bundesgesundheitsminister,jens [55] spahn,cdu [55] cdu,angeordnet [55] angeordnet,papier [55] papier,keinesfalls [55] keinesfalls,öffentlichkeit [55] öffentlichkeit,gelangen [55] gelangen,dürfe [55] dürfe,regierung Top Word Pairs in Tweet in G10:
[129] bitte,minuten [129] minuten,ruhe [129] ruhe,#merz [58] friedrich,merz [20] finde,liebt [20] liebt,bild [20] bild,friedrich [19] #merz,nen [19] nen,laptop [19] laptop,voll 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: