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 : 3953
Unique Edges : 5846
Edges With Duplicates : 11121
Total Edges : 16967
Number of Edge Types : 9
Quote : 1830
Retweet : 603
Replies to : 4321
MentionsInReplyTo : 2682
Mentions : 2392
Tweet : 4189
MentionsInRetweet : 160
MentionsInQuote : 592
MentionsInQuoteReply : 198
Self-Loops : 5744
Reciprocated Vertex Pair Ratio : 0.00692410119840213
Reciprocated Edge Ratio : 0.0137529754033325
Connected Components : 47
Single-Vertex Connected Components : 36
Maximum Vertices in a Connected Component : 3892
Maximum Edges in a Connected Component : 16767
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 4.073857
Graph Density : 0.000484053007452957
Modularity : 0.302132
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:
[157] herzlichen,glückwunsch [79] jüdinnen,juden [76] #berlin,#bundestag [76] #bundestag,#brandner [74] seite,israels [73] #wk194,#berlin [67] terror,hamas [67] #deutschlandabernormal,#wirhabendasdirektmandat [67] volle,solidarität [54] unserem,land Top Word Pairs in Tweet in G1:
[41] herzlichen,glückwunsch [28] terror,hamas [25] seite,israels [21] jüdinnen,juden [20] #hamas,#israel [17] volle,solidarität [16] existenzrecht,israels [15] unserem,land [15] spdbt,seeheimer [15] #hamas,terror Top Word Pairs in Tweet in G2:
[44] herzlichen,glückwunsch [28] jüdinnen,juden [22] volle,solidarität [20] cdu,csu [17] terror,hamas [15] seite,israels [15] jüdisches,leben [12] juden,deutschland [12] hass,hetze [11] arbeitsverbote,geflüchtete Top Word Pairs in Tweet in G3:
[16] jüdisches,leben [16] herzlichen,glückwunsch [15] shani,louk [15] jüdinnen,juden [14] seite,israels [12] christian,lindner [10] fest,seite [10] stand,israel [10] hamas,terror [9] fdp,die_gruenen Top Word Pairs in Tweet in G4:
[12] linksfraktion,dielinke [11] almakleen,erikvonmalottki [10] blauen,himmel [10] herzlichen,glückwunsch [9] amira_m_ali,linksfraktion [9] erikvonmalottki,forum_dl21 [7] genoss,innen [7] sahra,#wagenknecht [6] volle,solidarität [6] jüdinnen,juden Top Word Pairs in Tweet in G5:
[76] #bundestag,#brandner [76] #berlin,#bundestag [73] #wk194,#berlin [67] #deutschlandabernormal,#wirhabendasdirektmandat [42] #fürdiebürger,#afd [36] folgt,co [36] findet,#telegram [36] verpasst,neuigkeiten [36] #telegram,folgt [34] co,oo7bogddms Top Word Pairs in Tweet in G6:
[8] seite,israels [7] co2,preis [5] reste,linkspartei [4] unserem,land [4] fdpbt,#westandwithisrael [4] solidarität,#israel [3] #bahn,flächen [3] jüdisches,leben [3] 60,000 [3] ausbau,#schiene Top Word Pairs in Tweet in G7:
[8] herzlichen,glückwunsch [4] team,spd [4] spd,fraktion [3] deutschen,einheit [3] lkw,maut [3] deutschland,braucht [3] health,summit [3] townhall,meeting [3] ig,metall [3] nächste,pandemie Top Word Pairs in Tweet in G8:
[31] liebe,freunde [17] fdphessen,fdpbay [16] fdp,fdphessen [12] #putin,#angriffskrieg [9] diktator,kreml [7] 1300,km [6] 18,#leopard2 [6] km,front [5] überfallene,#ukraine [5] heimreise,antreten Top Word Pairs in Tweet in G9:
[4] rahaake,fdp [4] macbaer,markrudolph2701 [4] fdp,fdpbt [4] tobiashbner9,rahaake [3] alternative,druck [3] alternative,bündnis [3] sehen,aktuell [3] alternative,alternative [3] druck,innen [3] sehen,alternative Top Word Pairs in Tweet in G10:
[3] surface,windows [3] berichterstatter,innen [2] monacogreg71,fdpbay [2] bund,zahlen [2] canng,11 [2] öpnv,ländersache [2] bayernspd,hessenspd [2] #hessentriell,#ltwhessen [2] polizei,justiz [2] ne,windkraftanlage 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 G7:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: