The graph represents a network of 7,437 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 100,000 tweets, tweeted between 5/1/2023 12:00:00 AM and 5/31/2023 11:59:59 AM. The network was obtained from Twitter on Thursday, 01 June 2023 at 14:16 UTC.
The tweets in the network were tweeted over the 1955-day, 0-hour, 11-minute period from Monday, 22 January 2018 at 18:46 UTC to Wednesday, 31 May 2023 at 18:57 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 : 6725
Unique Edges : 6105
Edges With Duplicates : 43147
Total Edges : 49252
Number of Edge Types : 9
Retweet : 9805
MentionsInRetweet : 13649
Quote : 2412
Mentions : 3104
Replies to : 6052
MentionsInReplyTo : 8606
MentionsInQuote : 910
Tweet : 4515
MentionsInQuoteReply : 199
Self-Loops : 7469
Reciprocated Vertex Pair Ratio : 0.0177421314862073
Reciprocated Edge Ratio : 0.034865671641791
Connected Components : 12
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 6710
Maximum Edges in a Connected Component : 49200
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.802674
Graph Density : 0.000370420333090809
Modularity : 0.210785
NodeXL Version : 1.0.1.515
Data Import : The graph represents a network of 7,437 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 100,000 tweets, tweeted between 5/1/2023 12:00:00 AM and 5/31/2023 11:59:59 AM. The network was obtained from Twitter on Thursday, 01 June 2023 at 14:16 UTC.
The tweets in the network were tweeted over the 1955-day, 0-hour, 11-minute period from Monday, 22 January 2018 at 18:46 UTC to Wednesday, 31 May 2023 at 18:57 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 : TwitterSearch2
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:
[271] herzlichen,glückwunsch [110] robert,#habeck [110] cdu,csu [92] robert,habeck [74] volle,solidarität [71] #berlin,#bundestag [71] #wk194,#berlin [71] #bundestag,#brandner [60] sozial,gerecht [59] #telegram,folgt Top Word Pairs in Tweet in G1:
[72] herzlichen,glückwunsch [47] sozial,gerecht [39] robert,#habeck [37] cdu,csu [34] volle,solidarität [34] bündnis,90 [29] 101,fragen [27] robert,habeck [24] wärmewende,sozial [23] politiker,innen Top Word Pairs in Tweet in G2:
[91] herzlichen,glückwunsch [41] robert,#habeck [28] robert,habeck [23] patrick,#graichen [20] cdu,csu [19] cducsupm,presseinfo [18] #habeck,#graichen [18] minister,habeck [18] bürgerinnen,bürger [17] #graichen,#habeck Top Word Pairs in Tweet in G3:
[71] #bundestag,#brandner [71] #berlin,#bundestag [71] #wk194,#berlin [59] findet,#telegram [59] #telegram,folgt [59] verpasst,neuigkeiten [52] folgt,co [50] herzlichen,glückwunsch [48] oo7bogddms,verpasst [48] co,oo7bogddms Top Word Pairs in Tweet in G4:
[39] herzlichen,glückwunsch [28] fdpbt,erwarten [28] erwarten,#heizungsgesetz [28] betroffen,gesetz [28] einzelne,betroffen [28] #heizungsgesetz,bringen [28] bringen,einzelne [20] katastrophengebieten,gesetz [20] digitalisierung,bauleitplanverfahren [20] erleichterung,wiederaufbau Top Word Pairs in Tweet in G5:
[31] liebe,freunde [9] #putin,#angriffskrieg [7] maybritillner,mastrackzi [6] herzlichen,glückwunsch [6] diktator,kreml [5] eu,nato [5] militärische,hilfe [5] hilfe,überfallenen [5] kriegstreiber,sitzt [5] wichtige,arbeit Top Word Pairs in Tweet in G6:
[12] benbavarian,markus_soeder [12] cdu,csu [11] snoopy01887632,hubertaiwanger [8] horthum,thomas_bareiss [7] öl,gas [7] csu,markus_soeder [6] augustus,intelligence [6] andikynast,sascha_michaels [6] jensspahn,die_gruenen [6] 000,euro Top Word Pairs in Tweet in G7:
[29] maahl5,p4fchemnitz [18] gerhardriewe,spdklimaforum [13] ct,kwh [13] h777werner,arnolddrewer57 [13] sagtauchmalwas,p4fchemnitz [9] spdklimaforum,gruenebundestag [9] gruenebundestag,timon_gremmels [8] screenorigami,bitte [7] schicken,bekommen [7] kommunikation,längst Top Word Pairs in Tweet in G8:
[5] #ahrtal,gesetz [4] letzten,freitag [4] chkortenbusch,d0rfk1nd [4] gesetz,woche [4] frag,#spd [3] gesetz,fertig [3] cj_schroeder,sandra_weeser [3] teilzeittippse,chkortenbusch [3] frag,spd [3] christian,lindner Top Word Pairs in Tweet in G9:
[4] contangcontango,dcipriano83 [3] corso,leopold [3] tweetenti,forum_dl21 [3] herzliche,einladung [3] red,dragon [3] dcipriano83,tweetenti [2] sebastian,dippold [2] bayern,spd [2] bgm,sebastian [2] bruno,petroons Top Word Pairs in Tweet in G10:
[5] prof,dr [3] bancadapsc,etorrescobo [3] political,prisoners [3] of,bundestag [3] visit,of [2] sicherung,medienvielfalt [2] expert,innen [2] zentral,sicherung [2] nika,gvaramia [2] of,media 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 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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: