The graph represents a network of 2,864 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 50,000 tweets, tweeted between 10/1/2023 12:00:00 AM and 10/31/2023 11:59:59 PM. The network was obtained from Twitter on Tuesday, 07 November 2023 at 17:58 UTC.
The tweets in the network were tweeted over the 1101-day, 7-hour, 38-minute period from Sunday, 01 November 2020 at 11:20 UTC to Tuesday, 07 November 2023 at 18:58 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 : 400
Unique Edges : 827
Edges With Duplicates : 674
Total Edges : 1501
Number of Edge Types : 8
Retweet : 96
Mentions : 332
MentionsInReplyTo : 463
Quote : 226
MentionsInQuote : 106
MentionsInQuoteReply : 40
Replies to : 222
MentionsInRetweet : 16
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0.050830889540567
Reciprocated Edge Ratio : 0.0967441860465116
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 398
Maximum Edges in a Connected Component : 1500
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.700975
Graph Density : 0.00673558897243108
Modularity : 0.369001
NodeXL Version : 1.0.1.523
Data Import : The graph represents a network of 2,864 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 50,000 tweets, tweeted between 10/1/2023 12:00:00 AM and 10/31/2023 11:59:59 PM. The network was obtained from Twitter on Tuesday, 07 November 2023 at 17:58 UTC.
The tweets in the network were tweeted over the 1101-day, 7-hour, 38-minute period from Sunday, 01 November 2020 at 11:20 UTC to Tuesday, 07 November 2023 at 18:58 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:
[13] herzlichen,glückwunsch [11] linksfraktion,dielinke [10] volle,solidarität [9] amira_m_ali,linksfraktion [9] fdp,die_gruenen [9] nouripour,die_gruenen [9] die_gruenen,spdbt [8] cnaeger,joern_privat [8] doppelresidenz,beideeltern [8] notjustsad_bs,kerbera131 Top Word Pairs in Tweet in G1:
[9] fdp,die_gruenen [9] die_gruenen,spdbt [8] katjasuding,katrinhelling [8] vafkberlin,notjustsad_bs [8] katrinhelling,fdp [8] tinokleinert,velofisch [8] hergetweed,michael_karalus [8] marceltschauder,katjasuding [8] velofisch,kinderrechte_ [8] spdbt,gruene Top Word Pairs in Tweet in G2:
[8] katdro,brihasselmann [5] hass,hetze [5] terrors,hamas [4] brutalen,terrors [4] bestürzt,nachricht [4] julia_verlinden,katdro [4] opfer,brutalen [4] #shanilouk,zutiefst [4] hamas,entsetzen [4] tod,#shanilouk Top Word Pairs in Tweet in G3:
[6] db_presse,beatrix_vstorch [3] frau,klöckner [3] dneuerer,db_presse [3] herzlichen,glückwunsch [3] deutschen,bundestag [3] cducsubt,csu_bt [2] _michaelbaumann,krebshilfe_bonn [2] innere,#sicherheit [2] höcke,gleichgesetzt [2] sebast_hartmann,otto_fricke Top Word Pairs in Tweet in G4:
[6] alice_weidel,tino_chrupalla [4] cem_oezdemir,tino_chrupalla [3] s_muenzenmaier,beatrix_vstorch [3] herzlichen,glückwunsch [3] beatrix_vstorch,stefankeuterafd [3] stbrandner,gtzfrmming [3] gtzfrmming,enricokomning [3] volle,solidarität [3] stefankeuterafd,joernkoenigafd [2] linken,verein Top Word Pairs in Tweet in G5:
[10] linksfraktion,dielinke [9] amira_m_ali,linksfraktion [4] swagenknecht,dielinkenrw [3] diyar_agu,b_riexinger [3] janine_wissler,besserung [3] kristine_lutke,carmenwegge [2] krieges,europa [2] willkommen,neumitgliedern [2] 1man_crowd,dielinke [2] meloni,co Top Word Pairs in Tweet in G6:
[3] eintreten,existenzrecht [3] tierschutz_bund,steffilemke [3] konkret,eintreten [3] bleibt,familienministerin [3] existenzrecht,israels [3] lisapaus,berlindirekt [3] israels,bleibt [3] familienministerin,lisapaus [2] fbsirske,detzer_sandra [2] vrieschristoph,konkret Top Word Pairs in Tweet in G7:
[2] roth,spd [2] legalisierung,cannabis [2] olafscholz,bundeskanzler [2] miro_spd,roth Top Word Pairs in Tweet in G9:
[2] kachelmann,karl_lauterbach [2] marburger_bund,dkgev [2] klausholetschek,markus_soeder [2] baekaktuell,dr_pantazis [2] buerger_berlin,marburger_bund [2] atyzak,buerger_berlin [2] dr_pantazis,armingrau [2] dkgev,bmg_bund [2] bmg_bund,baekaktuell Top Word Pairs in Tweet in G10:
[6] auswaertigesamt,rkiesewetter [4] rkiesewetter,afdimbundestag [3] digihumanrights,auswaertigesamt Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: