The graph represents a network of 11,572 Twitter users whose recent tweets contained "#Bundestag", 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, 18 March 2022 at 16:39 UTC.
The tweets in the network were tweeted over the 23-hour, 36-minute period from Thursday, 17 March 2022 at 16:40 UTC to Friday, 18 March 2022 at 16:16 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 : 11572
Unique Edges : 23264
Edges With Duplicates : 3035
Total Edges : 26299
Number of Edge Types : 5
Retweet : 15752
MentionsInRetweet : 6520
Replies to : 853
Tweet : 1704
Mentions : 1470
Self-Loops : 1792
Reciprocated Vertex Pair Ratio : 0.00220340447593537
Reciprocated Edge Ratio : 0.00439712031728241
Connected Components : 779
Single-Vertex Connected Components : 611
Maximum Vertices in a Connected Component : 10475
Maximum Edges in a Connected Component : 25045
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.103442
Graph Density : 0.000173241726794548
Modularity : 0.587793
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,572 Twitter users whose recent tweets contained "#Bundestag", 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, 18 March 2022 at 16:39 UTC.
The tweets in the network were tweeted over the 23-hour, 36-minute period from Thursday, 17 March 2022 at 16:40 UTC to Friday, 18 March 2022 at 16:16 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 : #Bundestag
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2000] land,geiselhaft [1973] 130,stgb [1973] geiselhaft,gruppe [1971] reicht,karl_lauterbach [1971] karl_lauterbach,beschlossen [1971] beschlossen,gem [1971] gem,130 [1971] stgb,#volksverhetzung [1971] #volksverhetzung,anzuzeigen [1971] anzuzeigen,aussage Top Word Pairs in Tweet in G1:
[883] rede,#impfpflicht [572] starke,rede [566] frau,#weidel [565] fassungslos,tweet [565] tweet,geschrieben [565] geschrieben,frau [565] #weidel,starke [565] rede,gehalten [565] gehalten,unglaublichen [565] unglaublichen,#hass Top Word Pairs in Tweet in G2:
[268] #selenskyj,#bundestag [208] tragen,verständnis [206] vorerkrankungen,hause [206] hause,einschließen [206] einschließen,gesellschaft [206] gesellschaft,rücksichtslos [206] rücksichtslos,masken [206] masken,öffentlichen [206] öffentlichen,räumen [206] räumen,tragen Top Word Pairs in Tweet in G3:
[1571] land,geiselhaft [1569] geiselhaft,gruppe [1567] reicht,karl_lauterbach [1567] karl_lauterbach,beschlossen [1567] beschlossen,gem [1567] gem,130 [1567] 130,stgb [1567] stgb,#volksverhetzung [1567] #volksverhetzung,anzuzeigen [1567] anzuzeigen,aussage Top Word Pairs in Tweet in G4:
[209] #selenskyj,#bundestag [174] rede,#bundestag [164] rede,#selenskyi [163] aktuellen,stunde [163] stunde,#ukraine [163] #ukraine,stunden [163] stunden,rede [163] #selenskyi,einziger [163] einziger,minister [163] minister,ampel Top Word Pairs in Tweet in G5:
[516] #covid19,#bundestag [499] echte,herausforderung [499] herausforderung,argumente [499] argumente,#impfpflicht [499] #impfpflicht,minuten [499] minuten,punkt [499] punkt,bringen [499] bringen,zentral [499] zentral,alarmismus [499] alarmismus,sachlichkeit Top Word Pairs in Tweet in G6:
[41] #papuaindonesia,bbb22 [40] bbb22,#bundestag [16] #selenskyj,#bundestag [15] #bundestag,#wahl [15] #wahl,#landtagswahl [15] #landtagswahl,#demokratie [15] #demokratie,#steuer [15] #steuer,#politik [15] #politik,#umfrage [15] #umfrage,#stimmen Top Word Pairs in Tweet in G7:
[226] emiliafester,#bundestag [221] impfen,lassen [219] freiheit,einfach [219] einfach,impfen [217] freund,innen [217] innen,freiheit [217] lassen,meisten [217] meisten,vernünftig [217] vernünftig,einfachen [217] einfachen,schritt Top Word Pairs in Tweet in G8:
[172] debatte,#bundestag [172] allgemeine,#impfpflicht [169] #bundestag,bestätigt [169] bestätigt,allgemeine [169] #impfpflicht,totes [169] totes,pferd [160] pferd,parlamentarische [160] parlamentarische,mehrheit [160] mehrheit,argumente [160] argumente,befürworter Top Word Pairs in Tweet in G9:
[141] tn,#bundestag [84] eigentlich,#tempolimit [84] #tempolimit,verabschiedet [84] verabschiedet,öl [84] öl,einzusparen [84] einzusparen,diktaturen [84] diktaturen,#russland [84] #russland,#saudiarabien [84] #saudiarabien,geld [84] geld,rachen Top Word Pairs in Tweet in G10:
[114] ukrainian,president [114] president,volodymyr [114] volodymyr,zelensky [114] zelensky,calls [114] calls,germany [114] germany,emotional [114] emotional,address [114] address,before [114] before,bundestag [114] bundestag,help 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 G7:
Top Replied-To in G8:
Top Replied-To in G9:
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 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: