The graph represents a network of 1,502 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 10,000 tweets, tweeted between 1/28/2024 1:00:00 PM and 1/31/2024 11:59:59 PM. The network was obtained from Twitter on Thursday, 01 February 2024 at 14:26 UTC.
The tweets in the network were tweeted over the 1514-day, 23-hour, 5-minute period from Monday, 09 December 2019 at 16:20 UTC to Thursday, 01 February 2024 at 15:26 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 : 5677
Unique Edges : 12786
Edges With Duplicates : 20500
Total Edges : 33286
Number of Edge Types : 9
Mentions : 4799
Quote : 2466
Replies to : 4980
MentionsInReplyTo : 3456
MentionsInQuote : 821
Tweet : 7382
MentionsInQuoteReply : 194
Retweet : 7083
MentionsInRetweet : 2105
Self-Loops : 9560
Reciprocated Vertex Pair Ratio : 0.0502654623181411
Reciprocated Edge Ratio : 0.0957195378151261
Connected Components : 35
Single-Vertex Connected Components : 30
Maximum Vertices in a Connected Component : 5639
Maximum Edges in a Connected Component : 33191
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.861928
Graph Density : 0.000472710936393441
Modularity : 0.294096
NodeXL Version : 1.0.1.529
Data Import : The graph represents a network of 1,502 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 10,000 tweets, tweeted between 1/28/2024 1:00:00 PM and 1/31/2024 11:59:59 PM. The network was obtained from Twitter on Thursday, 01 February 2024 at 14:26 UTC.
The tweets in the network were tweeted over the 1514-day, 23-hour, 5-minute period from Monday, 09 December 2019 at 16:20 UTC to Thursday, 01 February 2024 at 15:26 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:
[167] herzlichen,glückwunsch [113] robert,#habeck [100] cdu,csu [97] unserem,land [83] robert,habeck [82] #ept24,#streitbarineuropa [68] 01,2024 [61] olaf,scholz [60] wolfgang,schäuble [59] #reformoerr,#oerrblog Top Word Pairs in Tweet in G1:
[95] herzlichen,glückwunsch [81] #ept24,#streitbarineuropa [45] unserem,land [40] wolfgang,schäuble [36] wolfgang,#schäuble [36] #streitbarineuropa,#ept24 [35] unseres,landes [34] liebe,freunde [34] tl,#3k24 [31] #streitbarineuropa,fdp Top Word Pairs in Tweet in G2:
[79] robert,#habeck [40] robert,habeck [39] herzlichen,glückwunsch [36] 49,euro [32] unserem,land [30] dielinke,linke_sachsen [30] 10,000 [29] privatsphäre,robert [28] demokrat,innen [28] linke_sachsen,dielinkeleipzig Top Word Pairs in Tweet in G3:
[55] #berlin,#bundestag [55] #reformoerr,#oerrblog [53] #bundestag,#brandner [53] #wk194,#berlin [49] #deutschlandabernormal,#wirhabendasdirektmandat [42] #fürdiebürger,#afd [39] 01,2024 [37] #afd,#thüringen [37] #thüringen,#deutschlandabernormal [30] #wirhabendasdirektmandat,#gera Top Word Pairs in Tweet in G4:
[19] cdu,csu [14] friedrich,merz [9] eva,szepesi [8] afd,kandidaten [8] olaf,scholz [8] robert,habeck [8] millionen,euro [8] le,pen [7] thomas_bareiss,cducsubt [7] hass,hetze Top Word Pairs in Tweet in G5:
[17] cdu,berlin [17] mitglied,cdu [14] lieferung,#taurus [13] peter,kurth [12] kurth,mitglied [11] agrippinusjr,rechtsdirektor [10] cdu,csu [8] olaf,scholz [8] kaiwegner,peter [8] cdu,cduberlin Top Word Pairs in Tweet in G6:
[20] 000,euro [16] support,ukraine [16] ukraine,aid [14] aid,ukraine [13] donald,trump [12] of,russian [12] foreign,minister [12] military,aid [11] air,defense [10] of,ukraine Top Word Pairs in Tweet in G7:
[22] #aufgehtsdhb,#handball [21] #wirihralle,#aufgehtsdhb [19] #heretoplay,#wirihralle [7] #handball,ehfeuro [7] 10,000 [6] #gerden,#heretoplay [6] 12,000 [6] 30,000 [5] wehrhafte,demokratie [5] baden,württemberg Top Word Pairs in Tweet in G8:
[5] demo,rechts [5] nahen,osten [4] franz,beckenbauer [3] sonntag,münchen [3] unterstützung,ukraine [3] sicherheit,europa [3] frieden,sicherheit [3] hört,rein [3] hamas,terror [3] hält,hamas Top Word Pairs in Tweet in G9:
[6] radikal,neu [5] buch,radikal [4] nzz,spdbt [4] dfoest,duinbayern [3] abstieg,politik [3] gruenebundestag,_martinhagen [3] mittelmaß,abstieg [3] _martinhagen,gerohocker [3] gerohocker,dfoest [3] neues,buch Top Word Pairs in Tweet in G10:
[2] softening,debt [2] kriegs,gaza [2] investment,start [2] debt,brake [2] 90,kriegs [2] vertrieben,50 [2] 50,bevölkerung [2] start,arrest [2] public,investment [2] leiden,hunger Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G10: