The graph represents a network of 2,222 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 40,000 tweets, tweeted between 11/6/2023 12:00:00 AM and 11/12/2023 11:59:59 PM. The network was obtained from Twitter on Monday, 13 November 2023 at 19:04 UTC.
The tweets in the network were tweeted over the 2099-day, 8-hour, 4-minute period from Tuesday, 13 February 2018 at 12:00 UTC to Monday, 13 November 2023 at 20:04 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 : 2216
Unique Edges : 4461
Edges With Duplicates : 4554
Total Edges : 9015
Number of Edge Types : 9
Mentions : 1507
MentionsInQuote : 246
Quote : 568
Tweet : 1848
Replies to : 1145
Retweet : 2240
MentionsInReplyTo : 701
MentionsInRetweet : 734
MentionsInQuoteReply : 26
Self-Loops : 2580
Reciprocated Vertex Pair Ratio : 0.0686317641882974
Reciprocated Edge Ratio : 0.128447920955126
Connected Components : 49
Single-Vertex Connected Components : 33
Maximum Vertices in a Connected Component : 2142
Maximum Edges in a Connected Component : 8793
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.406348
Graph Density : 0.000989723822640187
Modularity : 0.387611
NodeXL Version : 1.0.1.523
Data Import : The graph represents a network of 2,222 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 40,000 tweets, tweeted between 11/6/2023 12:00:00 AM and 11/12/2023 11:59:59 PM. The network was obtained from Twitter on Monday, 13 November 2023 at 19:04 UTC.
The tweets in the network were tweeted over the 2099-day, 8-hour, 4-minute period from Tuesday, 13 February 2018 at 12:00 UTC to Monday, 13 November 2023 at 20:04 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:
[79] jüdinnen,juden [59] jüdisches,leben [57] bund,länder [43] leben,deutschland [40] herzlichen,glückwunsch [39] sachsen,anhalt [29] jüdischen,lebens [26] gedenken,opfer [25] ddvmanufaktur,eeestaudt [25] unserem,land Top Word Pairs in Tweet in G1:
[22] jüdinnen,juden [21] leben,deutschland [20] jüdisches,leben [19] bund,länder [12] #stopptdensparhaushalt,motto [11] sachsen,anhalt [11] bm,hubertus_heil [10] herzlichen,glückwunsch [9] gedenken,opfer [8] milliarden,euro Top Word Pairs in Tweet in G2:
[29] jüdinnen,juden [13] protesten,antisemitismus [13] jüdische,organisationen [13] stets,jüdische [13] organisationen,protesten [13] leid,stets [13] antisemitismus,aufrufen [11] #9november,1938 [10] gedenken,opfer [10] stärken,wettbewerbsfähigkeit Top Word Pairs in Tweet in G3:
[19] straßen,schienen [19] herzlichen,glückwunsch [16] jüdisches,leben [15] senkung,#stromsteuer [14] senkung,stromsteuer [13] industrie,mittelstand [13] wichtiger,schritt [13] tempo,ausbau [13] schienen,brücken [12] pull,faktoren Top Word Pairs in Tweet in G4:
[11] river,sea [7] ahed,tamimi [7] october,7th [7] hamas,terroristen [6] 07,10 [6] hamas,terrorists [6] out,of [6] breaking,house [6] pro,hamas [6] part,of Top Word Pairs in Tweet in G5:
[16] #wk194,#berlin [15] findet,#telegram [15] #bundestag,#brandner [15] #telegram,folgt [15] #berlin,#bundestag [14] 11,2023 [13] #deutschlandabernormal,#wirhabendasdirektmandat [13] sachsen,anhalt [12] deported,#auschwitz [10] #fürdiebürger,#afd Top Word Pairs in Tweet in G6:
[25] ddvmanufaktur,eeestaudt [5] nächste,woche [4] ct,kwh [4] storzcoretta,tschk_e [4] chfurtenbacher,storzcoretta [4] susanne_mrtn,vhs_dachverband [4] tschk_e,susanne_mrtn [4] vmsinfahrt,spdbt [4] p4fchemnitz,chemnitzgruene [4] chemnitzgruene,chfurtenbacher Top Word Pairs in Tweet in G7:
[7] lieferung,#taurus [5] #ukraine,ausgesprochen [5] einstimmig,unverzügliche [5] zeichen,solidarität [5] alten,synagoge [5] woche,einstimmig [5] cducsubt,woche [5] unverzügliche,lieferung [5] #taurus,#ukraine [5] jüdinnen,juden Top Word Pairs in Tweet in G8:
[5] romanreher,btcimbundestag [4] betroffenen,ehemaligen [4] rahmen,journalistischen [4] journalistischen,arbeit [4] gesprächen,rahmen [4] arbeit,betroffenen [4] ehemaligen,betroffenen [3] freddy2805,gesprächen [3] betroffenen,sozial [3] digitalen,euro Top Word Pairs in Tweet in G9:
[3] klappe,halten [3] st,martin [3] auge,aushacken [3] krähe,auge [2] urteil,ehemaliger [2] leider,bleiben [2] behinderungen,unternehmen [2] fesselt,schranke [2] nurderk,alenaisabelle [2] unterstützung,besuchte Top Word Pairs in Tweet in G10:
[6] 14,11 [4] 11,mittelstandspreis [4] mittelstandspreis,2023 [4] 2023,vergeben [3] bund,ländern [3] gestern,vereinbarten [3] ländern,gestern [3] einordnung,bund [3] pogrom,of [3] vereinbarten,maßnahmen Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G6:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: