The graph represents a network of 2,381 Twitter users whose recent tweets contained "list:912241909002833921", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 11/1/2023 12:00:00 AM and 11/8/2023 12:54:30 PM. The network was obtained from Twitter on Wednesday, 08 November 2023 at 13:11 UTC.
The tweets in the network were tweeted over the 1102-day, 2-hour, 50-minute period from Sunday, 01 November 2020 at 11:20 UTC to Wednesday, 08 November 2023 at 14:11 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 450
Unique Edges : 1735
Edges With Duplicates : 2460
Total Edges : 4195
Number of Edge Types : 8
Retweet : 1962
Quote : 238
Replies to : 274
Mentions : 399
MentionsInReplyTo : 619
MentionsInRetweet : 552
MentionsInQuote : 124
MentionsInQuoteReply : 27
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0.0843585237258348
Reciprocated Edge Ratio : 0.155591572123177
Connected Components : 5
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 442
Maximum Edges in a Connected Component : 4191
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.04328
Graph Density : 0.0122147983172482
Modularity : 0.323644
NodeXL Version : 1.0.1.526
Data Import : The graph represents a network of 2,381 Twitter users whose recent tweets contained "list:912241909002833921", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 11/1/2023 12:00:00 AM and 11/8/2023 12:54:30 PM. The network was obtained from Twitter on Wednesday, 08 November 2023 at 13:11 UTC.
The tweets in the network were tweeted over the 1102-day, 2-hour, 50-minute period from Sunday, 01 November 2020 at 11:20 UTC to Wednesday, 08 November 2023 at 14:11 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : list:912241909002833921
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[38] herzlichen,glückwunsch [38] friedrich,merz [24] bundestag,beschlossen [22] ziehen,konsequenzen [21] cdu,csu [20] humanitäre,hilfe [19] urteil,#bverfg [17] capitalmagazin,ronjakemmer [16] ronjakemmer,mueller_sepp [16] markus,söder Top Word Pairs in Tweet in G1:
[17] capitalmagazin,ronjakemmer [16] ronjakemmer,mueller_sepp [14] zwischenruf_d,11 [14] 11,05 [14] 05,2023 [13] lieferung,#taurus [12] herzlichen,glückwunsch [11] _friedrichmerz,herr [9] cdu,csu [8] #taurus,#ukraine Top Word Pairs in Tweet in G2:
[31] friedrich,merz [18] humanitäre,hilfe [14] sven_kindler,kriege [14] kriege,klimakrise [14] erhöhten,bedarf [14] bedarf,humanitäre [14] naturkatastrophen,sehen [14] klimakrise,hunger [14] hunger,naturkatastrophen [14] stellen,erhöhten Top Word Pairs in Tweet in G3:
[22] ziehen,konsequenzen [15] verschiebt,bverfg [15] urteil,#bverfg [15] #aktienrente,verschiebt [15] bverfg,gesetz [15] union,schuldenbremse [15] florian_toncar,#aktienrente [14] rechtsklarheit,ziehen [14] erfolg,vorliegenden [14] neu,geschaffenen Top Word Pairs in Tweet in G4:
[5] bisherigen,linksfraktion [5] dezember,gruppe [5] dietmarbartsch,28 [5] millionen,euro [5] dietmarbartsch,deutschland [5] 28,abgeordnete [5] gestern,entschieden [5] linke,bu [5] linksfraktion,gestern [5] entschieden,dezember Top Word Pairs in Tweet in G5:
[3] carmenwegge,spdbt [2] spdbt,spdde [2] lvz,mdrpresse [2] spdleipzigono,dhanfverband [2] liz_de,lvz [2] mdrpresse,mephisto976 [2] dhanfverband,liz_de [2] carowagner_in,lina_seitzl [2] spdleipzig,spdleipzigono [2] spdde,spdleipzig Top Word Pairs in Tweet in G6:
[2] deutschland,beklagenswerten [2] #guatemala,korrupten [2] korrupten,kräften [2] alvaro,ramazzini [2] kräften,klammern [2] öffentliche,infrastruktur [2] kardinal,alvaro [2] beklagenswerten,zustand [2] ramazzini,#guatemala [2] schweiz,öffentliche Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: