The graph represents a network of 9,179 Twitter users whose recent tweets contained "#bdk23", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 30,000 tweets, tweeted between 11/22/2023 12:00:00 AM and 11/29/2023 8:42:09 PM. The network was obtained from Twitter on Thursday, 30 November 2023 at 00:32 UTC.
The tweets in the network were tweeted over the 2360-day, 15-hour, 59-minute period from Tuesday, 13 June 2017 at 09:33 UTC to Thursday, 30 November 2023 at 01:32 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 : 9179
Unique Edges : 17368
Edges With Duplicates : 8197
Total Edges : 25565
Number of Edge Types : 9
Tweet : 1166
Retweet : 15919
MentionsInRetweet : 5334
Quote : 426
MentionsInQuote : 149
MentionsInReplyTo : 631
Replies to : 623
Mentions : 1283
MentionsInQuoteReply : 34
Self-Loops : 1402
Reciprocated Vertex Pair Ratio : 0.00699008868022953
Reciprocated Edge Ratio : 0.013883133029424
Connected Components : 213
Single-Vertex Connected Components : 171
Maximum Vertices in a Connected Component : 8917
Maximum Edges in a Connected Component : 25210
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.637352
Graph Density : 0.000229141570675254
Modularity : 0.504485
NodeXL Version : 1.0.1.526
Data Import : The graph represents a network of 9,179 Twitter users whose recent tweets contained "#bdk23", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 30,000 tweets, tweeted between 11/22/2023 12:00:00 AM and 11/29/2023 8:42:09 PM. The network was obtained from Twitter on Thursday, 30 November 2023 at 00:32 UTC.
The tweets in the network were tweeted over the 2360-day, 15-hour, 59-minute period from Tuesday, 13 June 2017 at 09:33 UTC to Thursday, 30 November 2023 at 01:32 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 : #bdk23
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1112] parteitag,grünen [1073] grünen,#bdk23 [934] #bdk23,konzernen [932] bild,derzeit [932] verbänden,gesponsert [932] konzernen,verbänden [932] gesponsert,bild [928] derzeit,dis [928] lobbycontrol,parteitag [782] bundestag,vorsitz Top Word Pairs in Tweet in G1:
[565] alice,weidel [467] #bdk23,parteitag [357] robert,#habeck [354] sponsored,diesel [354] diesel,kerosin [354] grüner,parteitag [354] kerosin,glyphosat [354] mindestlohn,#grüneheuchler [354] glyphosat,mindestlohn [354] #grüneheuchler,#bdk23 Top Word Pairs in Tweet in G2:
[447] phoenix_de,#bdk23 [213] omid,nouripour [182] herzlichen,glückwunsch [124] die_gruenen,listenplatz [118] bundestag,vorsitz [118] vorsitz,_friedrichmerz [113] robert,#habeck [112] #bdk23,#pizza [112] robert,habeck [99] glückwunsch,ricarda_lang Top Word Pairs in Tweet in G3:
[156] grünen,parteitag [95] konrad,adenauer [88] besserwisser,gehabe [88] moralinsauere,besserwisser [88] gehabe,abgestellt [88] aufregen,moralinsauere [87] politerei,aufregen [81] inzwischen,stürzen [81] 34,stimmenanteile [81] stürzen,die_gruenen Top Word Pairs in Tweet in G4:
[631] vorsitz,_friedrichmerz [631] bundestag,vorsitz [509] _friedrichmerz,lage [509] lage,realität [509] realität,anzukommen [509] cducsubt,bundestag [509] nurderk,cducsubt [508] anzukommen,tragf [392] befestigt,ziehen [392] rücken,befestigt Top Word Pairs in Tweet in G5:
[323] #bdk23,#pizza [317] bundesgeschäftsstelle,montag [317] montag,#bdk23 [316] die_gruenen,bundesgeschäftsstelle [90] beschlossen,#änderungsantrag [90] wesentlichen,elementen [90] elementen,#europawahlprogramm [90] #europawahlprogramm,die_gruenen [90] #änderungsantrag,wesentlichen [89] mfresow,beschlossen Top Word Pairs in Tweet in G6:
[831] parteitag,grünen [798] grünen,#bdk23 [794] bild,derzeit [794] #bdk23,konzernen [794] verbänden,gesponsert [794] gesponsert,bild [794] konzernen,verbänden [792] derzeit,dis [792] lobbycontrol,parteitag [34] frauen,parteitag Top Word Pairs in Tweet in G7:
[87] luigipantisano,grünen [81] asylverfahren,außengrenzen [81] #bdk23,abschiebungen [81] stimmen,#bdk23 [81] abschiebungen,asylverfahren [81] grünen,stimmen [81] außengrenzen,abkommen [80] abkommen,dik [76] parteitage,philosophien [76] #bdk23,grünen Top Word Pairs in Tweet in G8:
[538] help,ukraine [538] ukraine,win [538] of,putin [538] defeat,of [538] win,victory [538] putin,amp [538] amp,lukashenka [538] of,ultimate [538] lukashenka,common [538] victory,of Top Word Pairs in Tweet in G9:
[113] worte,sonntagabend [113] rückfahrt,#bdk23 [113] #pizza,essende [113] #grünen,mitglieder [113] randalierten,#pizza [113] mitglieder,rückfahrt [113] sonntagabend,randalierten [113] essende,#grünen [113] fehlen,worte [112] der_wolf_aus_dd,fehlen Top Word Pairs in Tweet in G10:
[91] schwäbischen,hausfrau [90] wüssten,geld [90] hausfrau,erzählen [90] erzählen,zuhören [90] zuhören,wüssten [89] cem_oezdemir,schwäbischen [78] #cang,#bdk23 [78] cem_oezdemir,#cang [77] sloetree,cem_oezdemir [11] hundert,fragezeichen 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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: