The graph represents a network of 2,381 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 20,000 tweets, tweeted between 11/1/2023 12:00:00 AM and 11/8/2023 12:54:30 PM. The network was obtained from Twitter on Wednesday, 08 November 2023 at 13:11 UTC.
The tweets in the network were tweeted over the 1102-day, 2-hour, 50-minute period from Sunday, 01 November 2020 at 11:20 UTC to Wednesday, 08 November 2023 at 14:11 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 : 6123
Unique Edges : 14906
Edges With Duplicates : 24461
Total Edges : 39367
Number of Edge Types : 9
Tweet : 7759
Mentions : 6541
MentionsInReplyTo : 3315
MentionsInQuote : 1048
MentionsInRetweet : 3007
Retweet : 9456
Quote : 2656
Replies to : 5431
MentionsInQuoteReply : 154
Self-Loops : 10485
Reciprocated Vertex Pair Ratio : 0.0638944048592454
Reciprocated Edge Ratio : 0.120114185331577
Connected Components : 17
Single-Vertex Connected Components : 15
Maximum Vertices in a Connected Component : 6105
Maximum Edges in a Connected Component : 39308
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.898203
Graph Density : 0.000485954303968899
Modularity : 0.284068
NodeXL Version : 1.0.1.526
Data Import : The graph represents a network of 2,381 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 20,000 tweets, tweeted between 11/1/2023 12:00:00 AM and 11/8/2023 12:54:30 PM. The network was obtained from Twitter on Wednesday, 08 November 2023 at 13:11 UTC.
The tweets in the network were tweeted over the 1102-day, 2-hour, 50-minute period from Sunday, 01 November 2020 at 11:20 UTC to Wednesday, 08 November 2023 at 14:11 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:
[210] herzlichen,glückwunsch [113] jüdinnen,juden [105] milliarden,euro [105] olaf,scholz [98] millionen,euro [98] robert,habeck [96] friedrich,merz [88] cdu,csu [85] jüdisches,leben [85] bund,länder Top Word Pairs in Tweet in G1:
[75] herzlichen,glückwunsch [63] olaf,scholz [49] cdu,csu [43] milliarden,euro [40] bund,länder [37] friedrich,merz [34] jüdinnen,juden [33] 60,milliarden [32] robert,habeck [30] draußen,digitalen Top Word Pairs in Tweet in G2:
[69] #berlin,#bundestag [68] #bundestag,#brandner [66] #wk194,#berlin [55] #deutschlandabernormal,#wirhabendasdirektmandat [45] #reformoerr,#oerrblog [45] #telegram,folgt [45] findet,#telegram [43] 11,2023 [43] #afd,#thüringen [39] hamas,terroristen Top Word Pairs in Tweet in G3:
[53] herzlichen,glückwunsch [44] jüdinnen,juden [44] friedrich,merz [42] humanitäre,hilfe [38] robert,habeck [28] gewalt,frauen [25] ddvmanufaktur,eeestaudt [24] bundesgeschäftsstelle,montag [24] #bdk23,#pizza [24] montag,#bdk23 Top Word Pairs in Tweet in G4:
[41] herzlichen,glückwunsch [31] minister,c_lindner [26] jüdisches,leben [23] wichtiger,schritt [22] ziehen,konsequenzen [22] urteil,#bverfg [20] bund,länder [18] georgien,moldau [18] künftig,staatsbürger [18] straßen,schienen Top Word Pairs in Tweet in G5:
[16] lieferung,#taurus [10] #taurus,#ukraine [9] unterstützung,#ukraine [8] einstimmig,unverzügliche [8] woche,einstimmig [8] #ukraine,ausgesprochen [8] ukraine,braucht [8] cducsubt,woche [8] unverzügliche,lieferung [7] cruise,missiles Top Word Pairs in Tweet in G6:
[35] deported,#auschwitz [29] gas,chamber [28] murdered,gas [23] jewish,boy [18] dutch,jewish [15] bm,hubertus_heil [13] chamber,selection [11] chamber,arrival [11] arrival,selection [10] #auschwitz,murdered Top Word Pairs in Tweet in G7:
[10] توماج,صالحی [7] minister,svenjaschulze68 [6] ministerin,svenjaschulze68 [4] کفیل,سیاسی [4] سیاسی,توماج [4] kolleg,innen [4] در,گفت [4] ministerin,schulze [3] cdu,vorsitzende [3] لباس,شخصی Top Word Pairs in Tweet in G8:
[30] liebe,freunde [13] #putin,#angriffskrieg [9] überfallene,#ukraine [6] transportpanzer,#fuchs [6] of,ukraine [5] soldatinnen,soldaten [5] sitzt,kreml [5] rechenschaft,ziehen [4] 155,mm [4] #invasionstruppen,heimreise Top Word Pairs in Tweet in G9:
[3] herzlichen,glückwunsch [2] spdbt,schienenallianz [2] #mitteldeutscheregiobahn,#verkehrspolitik [2] fraktionssitzung,spdbt [2] erfolg,verkehrswende [2] erfolgreiche,projekte [2] euro,tickets [2] #nahverkehr,#regionalverkehr [2] deutschlandticket,erfolg [2] fraktionsvize,detlef Top Word Pairs in Tweet in G10:
[8] hamas,terroristen [6] hamas,terror [4] antisemitismus,israelhass [4] nahen,osten [3] foreign,affairs [3] danke,miro_spd [3] sachsen,anhalt [3] 10,hamas [3] civil,society [3] frieden,sicherheit 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: