The graph represents a network of 10,993 Twitter users whose recent tweets contained "#Laschet OR #Merz OR #Roettgen", 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 Saturday, 16 January 2021 at 10:48 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 37-minute period from Thursday, 14 January 2021 at 09:34 UTC to Saturday, 16 January 2021 at 10:11 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 : 10993
Unique Edges : 16667
Edges With Duplicates : 6296
Total Edges : 22963
Number of Edge Types : 5
Retweet : 11017
Tweet : 4823
Replies to : 2048
Mentions : 2923
MentionsInRetweet : 2152
Self-Loops : 4929
Reciprocated Vertex Pair Ratio : 0.00543375244834776
Reciprocated Edge Ratio : 0.0108087727015648
Connected Components : 1726
Single-Vertex Connected Components : 1470
Maximum Vertices in a Connected Component : 8889
Maximum Edges in a Connected Component : 20322
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.300414
Graph Density : 0.000131691915630841
Modularity : 0.561747
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 10,993 Twitter users whose recent tweets contained "#Laschet OR #Merz OR #Roettgen", 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 Saturday, 16 January 2021 at 10:48 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 37-minute period from Thursday, 14 January 2021 at 09:34 UTC to Saturday, 16 January 2021 at 10:11 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 : #Laschet OR #Merz OR #Roettgen
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:
[2643] friedrich,#merz [1822] #merz,nennt [1820] stärkere,besteuerung [1815] besteuerung,höheren [1815] höheren,einkommen [1815] einkommen,#neidsteuer [1814] nennt,stärkere [1258] wertend,gemeint [1254] #neidsteuer,sei [1254] sei,wertend Top Word Pairs in Tweet in G1:
[366] friedrich,#merz [242] #lanz,#merz [228] tm,#lanz [162] #wegenmorgen,#cdupt21 [157] höhere,einkommen [155] genug,geld [154] steuer,abgabenbelastung [153] geld,projekte [153] projekte,andererseits [153] andererseits,neue Top Word Pairs in Tweet in G2:
[110] friedrich,#merz [78] #merz,#laschet [76] #merz,#cdupt21 [60] #laschet,#roettgen [59] #laschet,#merz [57] #cdupt21,#wegenmorgen [49] #cdupt21,#merz [42] #merz,#roettgen [38] #wegenmorgen,#cdupt21 [37] #cdupt21,#cduparteitag Top Word Pairs in Tweet in G3:
[1419] #merz,nennt [1418] nennt,stärkere [1418] stärkere,besteuerung [1418] besteuerung,höheren [1418] höheren,einkommen [1418] einkommen,#neidsteuer [1018] wertend,gemeint [1017] #neidsteuer,sei [1017] sei,wertend [1017] gemeint,versicherte Top Word Pairs in Tweet in G4:
[329] friedrich,#merz [130] höhere,steuern [114] #neidsteuer,#vermögensabgabe [109] stärkere,besteuerung [107] #merz,nennt [104] nennt,stärkere [104] besteuerung,höheren [104] höheren,einkommen [104] einkommen,#neidsteuer [91] #cduvorsitz,#cduparteitag Top Word Pairs in Tweet in G5:
[380] friedrich,#merz [268] retten,rechts [268] rechts,versöhnt [268] versöhnt,mitte [263] #merz,demokratie [263] demokratie,retten [263] cdu,chef [263] chef,echtes [263] echtes,risiko [262] mitte,hinein Top Word Pairs in Tweet in G6:
[620] keine,gute [620] gute,idee [187] friedrich,#merz [156] höhere,steuern [156] steuern,reiche [155] mail,keine [155] idee,post [155] post,internet [155] internet,keine [155] idee,zeitungen Top Word Pairs in Tweet in G7:
[103] herr,#merz [102] #merz,cdu [100] cdu,vorsitzender [99] prognostiziere,herr [99] vorsitzender,delegierten [99] delegierten,umfragen [99] umfragen,basis [99] basis,hinwegsetzen [99] hinwegsetzen,zuviel [99] zuviel,angst Top Word Pairs in Tweet in G8:
[91] inzwischen,sicher [91] sicher,#laschet [91] #laschet,mischung [91] mischung,volkstümlichkeit [91] volkstümlichkeit,biederkeit [91] biederkeit,inkompetenz [91] inkompetenz,bildet [91] bildet,genau [91] genau,markenkern [91] markenkern,#cdu Top Word Pairs in Tweet in G9:
[62] friedrich,#merz [53] #merz,#laschet [39] #laschet,#röttgen [37] armin,#laschet [34] #cdupt21,#wegenmorgen [33] #laschet,#roettgen [27] norbert,#röttgen [23] #cduvorsitz,#cdupt21 [21] #cduvorsitz,#cduparteitag [19] #laschet,#cdupt21 Top Word Pairs in Tweet in G10:
[32] armin,#laschet [16] arminlaschet,#laschet [15] #laschet,meint [15] meint,probleme [15] probleme,auszahlung [15] auszahlung,corona [15] corona,wirtschaftshilfen [15] wirtschaftshilfen,bundesfinanzminister [15] bundesfinanzminister,schuhe [15] schuhe,schieben Top Replied-To in Entire Graph:
Top Replied-To in G1:
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: