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 party values.
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 : 0.083065
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 party values.
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : In-Degree
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 xternal:
[44] olaf,scholz [40] herzlichen,glückwunsch [39] robert,habeck [34] deported,#auschwitz [34] milliarden,euro [31] #reformoerr,#oerrblog [30] millionen,euro [29] gas,chamber [28] jüdinnen,juden [28] hamas,terroristen Top Word Pairs in Tweet in CDU/CSU:
[40] herzlichen,glückwunsch [31] olaf,scholz [23] schulden,trickserei [22] cducsubt,#bverfg [21] ampel,rechtswidrig [21] bestätigt,schulden [21] trickserei,ampel [21] #bverfg,bestätigt [21] rechtswidrig,klage [21] klage,erfolg Top Word Pairs in Tweet in SPD:
[30] digitalen,orbit [30] musiktipp,draußen [30] draußen,digitalen [19] bordesholm,musiktipp [19] jewish,boy [19] guten,bordesholm [18] friedrich,merz [17] dutch,jewish [17] jüdinnen,juden [16] herzlichen,glückwunsch Top Word Pairs in Tweet in Die Grünen:
[46] friedrich,merz [44] herzlichen,glückwunsch [44] humanitäre,hilfe [35] jüdinnen,juden [28] robert,habeck [26] bundesgeschäftsstelle,montag [26] #bdk23,#pizza [26] montag,#bdk23 [26] die_gruenen,bundesgeschäftsstelle [26] hamas,#israel Top Word Pairs in Tweet in FDP:
[31] herzlichen,glückwunsch [30] liebe,freunde [25] wichtiger,schritt [25] jüdisches,leben [24] ziehen,konsequenzen [24] urteil,#bverfg [20] markus,söder [19] künftig,staatsbürger [19] straßen,schienen [18] bund,länder Top Word Pairs in Tweet in AfD:
[69] #berlin,#bundestag [68] #bundestag,#brandner [66] #wk194,#berlin [55] #deutschlandabernormal,#wirhabendasdirektmandat [45] findet,#telegram [45] #telegram,folgt [40] #afd,#thüringen [38] #fürdiebürger,#afd [35] #wirhabendasdirektmandat,#gera [35] #thüringen,#deutschlandabernormal Top Word Pairs in Tweet in Die Linke:
[20] herzlich,willkommen [20] herzlichen,glückwunsch [15] phoenix_de,#linkebpt [11] millionen,euro [11] martin,schirdewan [10] #stopptdensparhaushalt,motto [10] soziale,gerechtigkeit [10] christian,lindner [9] cdu,csu [9] linke,opposition Top Word Pairs in Tweet in fraktionslos:
[14] beitrag,facebook [14] beitrag,sieh [14] sieh,beitrag [3] steuern,abgaben [2] regierung,verantwortung [2] co2,einsparung [2] 25,mrd [2] tonnen,co2 [2] höheren,steuern [2] verantwortung,tragen Top Replied-To in Entire Graph:
Top Replied-To in xternal:
Top Replied-To in CDU/CSU:
Top Replied-To in SPD:
Top Replied-To in Die Grünen:
Top Replied-To in FDP:
Top Replied-To in AfD:
Top Replied-To in Die Linke:
Top Replied-To in fraktionslos:
Top Mentioned in Entire Graph:
Top Mentioned in xternal:
Top Mentioned in CDU/CSU:
Top Mentioned in SPD:
Top Mentioned in Die Grünen:
Top Mentioned in FDP:
Top Mentioned in AfD:
Top Mentioned in Die Linke:
Top Mentioned in fraktionslos:
Top Tweeters in Entire Graph:
Top Tweeters in xternal:
Top Tweeters in CDU/CSU:
Top Tweeters in SPD:
Top Tweeters in Die Grünen:
Top Tweeters in FDP:
Top Tweeters in AfD:
Top Tweeters in Die Linke:
Top Tweeters in fraktionslos: