The graph represents a network of 8,100 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 Tuesday, 26 October 2021 at 16:05 UTC.
The tweets in the network were tweeted over the 8-day, 14-hour, 6-minute period from Monday, 18 October 2021 at 01:28 UTC to Tuesday, 26 October 2021 at 15:34 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 : 8100
Unique Edges : 15167
Edges With Duplicates : 5326
Total Edges : 20493
Number of Edge Types : 5
Tweet : 3027
Retweet : 10323
MentionsInRetweet : 4503
Mentions : 1924
Replies to : 716
Self-Loops : 3102
Reciprocated Vertex Pair Ratio : 0.0090884790163058
Reciprocated Edge Ratio : 0.0180132450331126
Connected Components : 1045
Single-Vertex Connected Components : 895
Maximum Vertices in a Connected Component : 6756
Maximum Edges in a Connected Component : 18789
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.414531
Graph Density : 0.000230176260138807
Modularity : 0.564828
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,100 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 Tuesday, 26 October 2021 at 16:05 UTC.
The tweets in the network were tweeted over the 8-day, 14-hour, 6-minute period from Monday, 18 October 2021 at 01:28 UTC to Tuesday, 26 October 2021 at 15:34 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 Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[828] fraktion,#bundestag [792] #afd,fraktion [776] deutschen,#bundestag [744] #bundestag,#konstituierung [641] #berlin,#bundestag [634] #bundestag,#brandner [539] #wk194,#berlin [425] platz,nehmen [406] #afd,#bundestag [390] tribüne,3g Top Word Pairs in Tweet in G1:
[652] #afd,fraktion [618] #berlin,#bundestag [617] #bundestag,#brandner [525] #wk194,#berlin [428] fraktion,#bundestag [425] deutschen,#bundestag [371] kandidaten,amt [325] #afd,#bundestag [291] #wirhabendasdirektmandat,#deutschlandabernormal [251] kaufmannafd,kandidaten Top Word Pairs in Tweet in G2:
[252] herzlichen,glückwunsch [184] #bundestag,#konstituierung [165] deutschen,#bundestag [144] liebe,baerbelbas [131] konstituierenden,sitzung [119] #konstituierung,#bundestag [116] wahl,#bundestagspräsidentin [112] glückwunsch,wahl [103] stephan,brandner [96] 20,deutschen Top Word Pairs in Tweet in G3:
[41] #bundestag,#konstituierung [27] bärbel,bas [19] konstituierenden,sitzung [19] konstituierende,sitzung [18] #afd,#bundestag [17] sitzung,#bundestag [17] #konstituierung,#bundestag [16] #หน,งจ [16] งจ,กรวาล [16] #mflatetoken,#bundestag Top Word Pairs in Tweet in G4:
[91] wolfgang,schäuble [84] deutsche,#bundestag [77] schäuble,zutreffenden [77] zutreffenden,hinweis [77] hinweis,befürworter [77] befürworter,paritätsgesetzen [77] paritätsgesetzen,#bundestag [73] besonderer,moment [69] 20,deutsche [68] konstituiert,20 Top Word Pairs in Tweet in G5:
[152] #bundestag,#konstituierendesitzung [116] angela,merkel [116] platz,nehmen [107] #bundestag,#konstituierung [104] tribüne,platz [101] deutschen,bundestags [99] 31,angela [99] merkel,abgeordnete [99] abgeordnete,deutschen [99] bundestags,tribüne Top Word Pairs in Tweet in G6:
[206] fraktion,#bundestag [205] tribüne,3g [203] 3g,abgeordneten [203] abgeordneten,platz [203] platz,nehmen [203] nehmen,sitzen [203] sitzen,bislang [203] bislang,ausschließlich [203] ausschließlich,mitglieder [203] mitglieder,afd Top Word Pairs in Tweet in G7:
[150] wenigsten,weiblichen [150] weiblichen,bundestagsabgeordneten [130] #afd,wenigsten [130] bundestagsabgeordneten,meisten [130] meisten,faschos [130] faschos,#bundestag [32] fraktion,#bundestag [31] afd,fraktion [30] #noafd,#fckafd [30] #fckafd,#fcknzs Top Word Pairs in Tweet in G8:
[60] #bundestag,#konstituierung [43] rede,alterspräsidenten [43] alterspräsidenten,jüngste [43] jüngste,mitglied [43] mitglied,#bundestag [43] #konstituierung,sprechen [21] deutschen,#bundestag [20] konstituiert,20 [18] #pflegewissenschaft,unbekannte [18] unbekannte,wesen Top Word Pairs in Tweet in G9:
[35] konstituiert,#bundestag [35] gewählt,#noafd [35] michael,kaufmann [34] #bundestag,zuge [34] zuge,vize [34] vize,präsident [34] präsident,innen [34] innen,fraktionen [34] fraktionen,gewählt [34] #noafd,schlägt Top Word Pairs in Tweet in G10:
[19] #konstituierung,#bundestag [16] katapult,afd [16] afd,recherche [16] recherche,#afd [16] #afd,stellt [16] stellt,stärkste [16] stärkste,#oppositionsfraktion [16] #oppositionsfraktion,#bundestag [16] #bundestag,streiten [16] streiten,partei 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 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: