The graph represents a network of 2,283 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 11/20/2023 12:00:00 AM and 11/26/2023 11:59:59 PM. The network was obtained from Twitter on Monday, 27 November 2023 at 16:15 UTC.
The tweets in the network were tweeted over the 4257-day, 6-hour, 57-minute period from Sunday, 01 April 2012 at 10:18 UTC to Monday, 27 November 2023 at 17:15 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 : 2283
Unique Edges : 4487
Edges With Duplicates : 4610
Total Edges : 9097
Number of Edge Types : 9
Mentions : 1484
Tweet : 1752
Retweet : 2087
Replies to : 1420
MentionsInRetweet : 696
MentionsInReplyTo : 735
MentionsInQuote : 252
Quote : 627
MentionsInQuoteReply : 44
Self-Loops : 2409
Reciprocated Vertex Pair Ratio : 0.0541871921182266
Reciprocated Edge Ratio : 0.102803738317757
Connected Components : 43
Single-Vertex Connected Components : 34
Maximum Vertices in a Connected Component : 2230
Maximum Edges in a Connected Component : 9036
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.372588
Graph Density : 0.000944756868106029
Modularity : 0.381404
NodeXL Version : 1.0.1.526
Data Import : The graph represents a network of 2,283 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 11/20/2023 12:00:00 AM and 11/26/2023 11:59:59 PM. The network was obtained from Twitter on Monday, 27 November 2023 at 16:15 UTC.
The tweets in the network were tweeted over the 4257-day, 6-hour, 57-minute period from Sunday, 01 April 2012 at 10:18 UTC to Monday, 27 November 2023 at 17:15 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:
[70] herzlichen,glückwunsch [48] gewalt,frauen [35] milliarden,euro [35] friedrich,merz [33] robert,habeck [27] cdu,csu [21] hamas,terroristen [21] christian,lindner [21] 60,milliarden [20] 000,tote Top Word Pairs in Tweet in G1:
[26] herzlichen,glückwunsch [23] gewalt,frauen [18] friedrich,merz [14] phoenix_de,#bdk23 [13] omid,nouripour [13] die_gruenen,listenplatz [13] bm,hubertus_heil [12] europawahl,gewählt [12] gewählt,#bdk23 [12] deported,#auschwitz Top Word Pairs in Tweet in G2:
[17] herzlichen,glückwunsch [13] olaf,scholz [12] robert,habeck [12] #bverfg,urteil [10] friedrich,merz [10] 60,milliarden [9] haushalt,2024 [9] aufweichung,#schuldenbremse [9] gewalt,frauen [8] verschweigt,deutschen Top Word Pairs in Tweet in G3:
[10] 000,tote [9] 000,killed [8] rechtsklarheit,ziehen [8] greta,thunberg [8] neu,geschaffenen [8] bundesverfassungsgericht,neu [8] c_lindner,bundesverfassungsgericht [8] geschaffenen,rechtsklarheit [8] konsequenzen,bundesregierung [8] ziehen,konsequenzen Top Word Pairs in Tweet in G4:
[16] #bundestag,#brandner [16] #berlin,#bundestag [15] #wk194,#berlin [15] milliarden,euro [14] 11,05 [14] 05,2023 [13] #reformoerr,#oerrblog [12] #deutschlandabernormal,#wirhabendasdirektmandat [11] findet,#telegram [11] #telegram,folgt Top Word Pairs in Tweet in G5:
[17] herzlich,willkommen [8] alfred,salomon [7] ca,14 [7] partner,ex [7] beschließen,aussteigen [7] stunde,ca [7] 14,frauen [7] aussteigen,mut [7] frauen,opfer [7] mut,steigen Top Word Pairs in Tweet in G6:
[3] _friedrichmerz,cducsubt [3] dienen,erhalt [3] daserste,weltspiegel_ard [3] abgelehnt,letztlich [3] ausbeutung,autobahn [3] jm_luczak,tagesspiegel [3] menschlichen,gesundheit [3] 000,euro [3] robert,#habeck [3] 850,000 Top Word Pairs in Tweet in G7:
[10] adressel,fhh_fb [6] herr_franke,fdp [6] fdp,c_lindner [5] hogrefejens,fhh_fb [5] sbachtax,adressel [5] adressel,hogrefejens [5] hogrefejens,sbachtax [4] hogrefejens,adressel [4] bmjotzo,herr_franke [3] bundesfinanzminister,christian Top Word Pairs in Tweet in G8:
[6] support,ukraine [6] gerhart,baum [4] nicolange_,carlomasala1 [4] united,states [4] of,international [4] message,united [4] moritz_gathmann,dlf [3] of,eu [3] representatives,of [3] shares,thoughts Top Word Pairs in Tweet in G9:
[7] liebe,freunde [7] wofür,deutschland [7] deutschland,geld [7] geld,ausgibt [6] millionen,euro [3] digital,euro [3] apvogt,alicologne [3] alicologne,hartwigja [2] support,recognizing [2] ukraine,herausreden Top Word Pairs in Tweet in G10:
[4] #fdp,#landtagbw [4] friedrich,merz [3] deutschen,wirtschaft [3] robert,habeck [3] reform,schuldenbremse [2] slowing,ships' [2] die_gruenen,erfolgreich [2] drought,last [2] worst,drought [2] patrickbernau,ralphbollmann Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
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Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: