The graph represents a network of 11,369 Twitter users whose recent tweets contained "Merz OR Laschet OR Spahn lang:de", 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 Monday, 17 February 2020 at 10:41 UTC.
The tweets in the network were tweeted over the 1-day, 23-hour, 8-minute period from Saturday, 15 February 2020 at 11:13 UTC to Monday, 17 February 2020 at 10:22 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 : 11369
Unique Edges : 20067
Edges With Duplicates : 5170
Total Edges : 25237
Number of Edge Types : 5
Retweet : 10223
MentionsInRetweet : 4107
Replies to : 4080
Mentions : 4239
Tweet : 2588
Self-Loops : 2679
Reciprocated Vertex Pair Ratio : 0.00839019459186252
Reciprocated Edge Ratio : 0.0166407698862212
Connected Components : 972
Single-Vertex Connected Components : 734
Maximum Vertices in a Connected Component : 10069
Maximum Edges in a Connected Component : 23831
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.39901
Graph Density : 0.000154368376690593
Modularity : 0.573306
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 11,369 Twitter users whose recent tweets contained "Merz OR Laschet OR Spahn lang:de", 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 Monday, 17 February 2020 at 10:41 UTC.
The tweets in the network were tweeted over the 1-day, 23-hour, 8-minute period from Saturday, 15 February 2020 at 11:13 UTC to Monday, 17 February 2020 at 10:22 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 Laschet OR Spahn lang:de
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:
[4739] friedrich,merz [2423] til,schweiger [1308] merz,til [1225] merz,erholen [1224] schweiger,unterstützt [1224] unterstützt,glaube [1224] glaube,spätestens [1222] spätestens,friedrich [655] vergewaltigung,ehe [457] friedrich,#merz Top Word Pairs in Tweet in G1:
[353] friedrich,merz [275] giftiger,abschaum [260] til,schweiger [247] krebsgeschwür,brok [235] afd,gesindel [234] gesindel,merz [214] halten,fest [214] abschaum,wanderwitz [212] fest,afd [212] werteunion,krebsgeschwür Top Word Pairs in Tweet in G2:
[672] friedrich,merz [310] til,schweiger [157] schweiger,wünscht [145] merz,bundeskanzler [142] friedrich,#merz [141] wünscht,friedrich [117] vergewaltigung,ehe [116] erinnerung,#merz [112] finde,hilft [112] hilft,dinge Top Word Pairs in Tweet in G3:
[175] friedrich,merz [114] linke,grüne [112] spd,linke [111] #ipregkannweg,liebe [111] liebe,spd [111] grüne,#noafd [111] #noafd,#niewiedercdu [111] #niewiedercdu,jensspahn [111] jensspahn,#spahn [111] #spahn,cdu Top Word Pairs in Tweet in G4:
[2107] friedrich,merz [1209] til,schweiger [1049] merz,til [982] schweiger,unterstützt [982] unterstützt,glaube [982] glaube,spätestens [982] spätestens,friedrich [982] merz,erholen [86] eil,friedrich [86] merz,wünscht Top Word Pairs in Tweet in G5:
[153] friedrich,merz [50] til,schweiger [43] armin,laschet [34] jens,spahn [25] cdu,vorsitz [23] laschet,kritisiert [19] merkels,europapolitik [17] kritisiert,merkels [15] herr,merz [15] friedrich,#merz Top Word Pairs in Tweet in G6:
[309] 16,00 [309] 00,schäuble [309] schäuble,grund [309] grund,verstrickung [309] verstrickung,cdu [309] cdu,finanzskandal [309] finanzskandal,ämtern [309] ämtern,favoriten [309] favoriten,nachfolge [309] nachfolge,gelten Top Word Pairs in Tweet in G7:
[188] friedrich,merz [93] merz,cdu [91] dinge,längst [91] längst,wetten [91] wetten,zdf [91] zdf,domino [91] domino,day [91] day,rtl [91] rtl,captain [91] captain,picard Top Word Pairs in Tweet in G8:
[102] friedrich,merz [59] til,schweiger [37] wünscht,friedrich [37] cdu,chef [36] schweiger,wünscht [34] merz,nächsten [34] nächsten,cdu [31] spiegel_politik,derspiegel [15] merz,wowereits [15] wowereits,homosexualität Top Word Pairs in Tweet in G9:
[40] geschichte,erstaunlichen [40] erstaunlichen,wandlung [40] wandlung,knallharter [40] knallharter,höcke [40] höcke,fan [40] fan,plötzlich [40] plötzlich,#merz [40] #merz,#werteunion [40] #werteunion,bewunderer [40] bewunderer,erklärt Top Word Pairs in Tweet in G10:
[32] friedrich,merz [30] reden,gekommen [30] gekommen,land [30] land,sachen [30] sachen,gleichstellung [30] gleichstellung,gedöns [30] gedöns,satz [30] satz,schröder [30] schröder,erinnert [30] erinnert,überwunden 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: