The graph represents a network of 4,741 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 7/1/2023 12:00:00 AM and 7/31/2023 12:00:00 AM. The network was obtained from Twitter on Wednesday, 16 August 2023 at 14:02 UTC.
The tweets in the network were tweeted over the 2456-day, 9-hour, 12-minute period from Thursday, 24 November 2016 at 06:49 UTC to Wednesday, 16 August 2023 at 16:02 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 : 4508
Unique Edges : 4224
Edges With Duplicates : 18272
Total Edges : 22496
Number of Edge Types : 7
Replies to : 5426
MentionsInReplyTo : 7913
Quote : 2194
Mentions : 2231
MentionsInQuote : 733
Tweet : 3757
MentionsInQuoteReply : 242
Self-Loops : 5356
Reciprocated Vertex Pair Ratio : 0.0115853658536585
Reciprocated Edge Ratio : 0.0229053646775166
Connected Components : 36
Single-Vertex Connected Components : 29
Maximum Vertices in a Connected Component : 4464
Maximum Edges in a Connected Component : 22341
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.034982
Graph Density : 0.000408267608564731
Modularity : 0.004224
NodeXL Version : 1.0.1.519
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=292256
Data Import : The graph represents a network of 4,741 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 7/1/2023 12:00:00 AM and 7/31/2023 12:00:00 AM. The network was obtained from Twitter on Wednesday, 16 August 2023 at 14:02 UTC.
The tweets in the network were tweeted over the 2456-day, 9-hour, 12-minute period from Thursday, 24 November 2016 at 06:49 UTC to Wednesday, 16 August 2023 at 16:02 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.
Vertex Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[138] herzlichen,glückwunsch [62] #telegram,folgt [62] folgt,co [62] verpasst,neuigkeiten [62] findet,#telegram [61] oo7bogddms,verpasst [61] co,oo7bogddms [46] cdu,csu [43] #berlin,#bundestag [43] #bundestag,#brandner Top Word Pairs in Tweet in SPD:
[30] digitalen,orbit [30] musiktipp,draußen [30] draußen,digitalen [22] bordesholm,musiktipp [22] guten,bordesholm [18] #csd,#leipzig [15] spdbt,seeheimer [14] #leipzig,fordert [14] herzlichen,glückwunsch [10] friedrich,merz Top Word Pairs in Tweet in Die Grünen:
[22] herzlichen,glückwunsch [20] cdu,csu [19] naturfreund_81,mkreutzfeldt [15] bürger,innen [15] robert,#habeck [14] saudi,arabien [13] leo_proettel,timderarchitekt [11] wichtiger,schritt [11] timon_gremmels,bengtbergt [11] bmwsb_bund,bmwk Top Word Pairs in Tweet in CDU/CSU:
[47] herzlichen,glückwunsch [19] cducsubt,cdu [14] carsten,#linnemann [13] zusammenarbeit,afd [12] bartelhei,spdbt [12] tagesthemen,aufstandlastgen [12] unserem,land [9] tknuewer,cdu [9] spdbt,cducsubt [9] familie,beruf Top Word Pairs in Tweet in FDP:
[30] liebe,freunde [24] philippefolliot,yehorcherniev [20] herzlichen,glückwunsch [15] sitzt,kreml [13] bmf_bund,c_lindner [13] letzte,woche [9] ernmedblog,renatekuenast [9] abschaffung,#ehegattensplitting [9] lisa,paus [8] mitte,gesellschaft Top Word Pairs in Tweet in AfD:
[62] findet,#telegram [62] #telegram,folgt [62] verpasst,neuigkeiten [62] folgt,co [61] oo7bogddms,verpasst [61] co,oo7bogddms [43] #bundestag,#brandner [43] #berlin,#bundestag [42] #wk194,#berlin [33] herzlichen,glückwunsch Top Word Pairs in Tweet in Die Linke:
[10] schirdewan,carorackete [10] carorackete,oezlemademirel [10] oezlemademirel,trabertwaehlen [7] mieter,innen [7] trabertwaehlen,dielinke [7] kaffee2602,cptnftr81 [6] muhiddin,fidan [6] versteuerndes,einkommen [5] klosterschuler,schirdewan [5] liberal_nelli,aufstandlastgen Top Word Pairs in Tweet in fraktionslos:
[4] göring,eckardt [3] millionen,euro [3] wirtschaftsland,trm_dk [3] katrin,göring [2] ideologische,projekte [2] kauf,nehmen [2] links,grüne [2] #altersarmut,#ampel [2] geld,züge [2] 15,millionen Top Replied-To in Entire Graph:
Top Replied-To in SPD:
Top Replied-To in Die Grünen:
Top Replied-To in CDU/CSU:
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 SPD:
Top Mentioned in Die Grünen:
Top Mentioned in CDU/CSU:
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 SPD:
Top Tweeters in Die Grünen:
Top Tweeters in CDU/CSU:
Top Tweeters in FDP:
Top Tweeters in AfD:
Top Tweeters in Die Linke:
Top Tweeters in fraktionslos: