Drecksstaat, Twitter, 9/14/2023 12:14:14 PM, 292488


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Drecksstaat Twitter NodeXL SNA Map and Report for Thursday, 14 September 2023 at 08:29 UTC
Drecksstaat Twitter NodeXL SNA Map and Report for Thursday, 14 September 2023 at 08:29 UTC
From:
SMRFoundation
Uploaded on:
September 14, 2023
Short Description:
Drecksstaat via NodeXL https://bit.ly/3LpG5rL
@

Top hashtags:


Description:
Description
The graph represents a network of 7,472 Twitter users whose recent tweets contained "Drecksstaat", 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 8/31/2023 10:28:16 AM and 9/14/2023 10:28:16 AM. The network was obtained from Twitter on Thursday, 14 September 2023 at 12:07 UTC.

The tweets in the network were tweeted over the 300-day, 18-hour, 22-minute period from Thursday, 17 November 2022 at 19:45 UTC to Thursday, 14 September 2023 at 14:07 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.


[15122] de
[197] qme
[68] und
[51] en
[45] qht
[8] in
[4] sv
[2] es
[2] ru
[1] pl

[2119] de
[12] qht
[8] qme
[3] und
[2] en
[1] cy

[3105] de
[42] qme
[39] und
[14] qht
[5] en
[2] sv
[1] in

[1900] de
[16] qme
[4] und
[2] ru
[1] pl
[1] nl

[1186] de
[3] und
[3] qht
[1] es
[1] en
[1] qme
[1] in

[627] de
[9] qme
[4] und
[2] en
[1] qht

[604] de
[2] und

[656] de
[2] und
[1] qme

[646] de
[3] qme
[2] qht
[1] da

[678] de
[1] qht
[1] und
[1] qme

[260] de
[28] en
[21] qme
[6] in
[5] qht
[3] und
[1] pt
[1] fr
[1] no
[1] sv

[6212] Twitter for Android
[5230] Twitter Web App
[3299] Twitter for iPhone
[741] Twitter for iPad
[14] Twitter for Mac
[2] IFTTT
[2] Vista Social Twitter
[2] TweetDeck Web App
[1] twitter-forwarder-streamboat
[1] szde-social-bot-prod

[927] Twitter for Android
[645] Twitter Web App
[443] Twitter for iPhone
[130] Twitter for iPad

[1316] Twitter Web App
[1198] Twitter for Android
[589] Twitter for iPhone
[102] Twitter for iPad
[3] Twitter for Mac

[837] Twitter for Android
[535] Twitter Web App
[409] Twitter for iPhone
[138] Twitter for iPad
[5] Twitter for Mac

[443] Twitter Web App
[430] Twitter for Android
[238] Twitter for iPhone
[81] Twitter for iPad
[4] Twitter for Mac

[305] Twitter for Android
[178] Twitter Web App
[140] Twitter for iPhone
[19] Twitter for iPad
[1] Twitter for Mac

[230] Twitter for Android
[187] Twitter Web App
[161] Twitter for iPhone
[28] Twitter for iPad

[236] Twitter for Android
[227] Twitter Web App
[157] Twitter for iPhone
[38] Twitter for iPad
[1] TweetDeck Web App

[262] Twitter for Android
[212] Twitter for iPhone
[145] Twitter Web App
[32] Twitter for iPad
[1] SocialFlow

[289] Twitter for Android
[185] Twitter Web App
[166] Twitter for iPhone
[40] Twitter for iPad
[1] Twitter for Mac

[184] Twitter Web App
[93] Twitter for Android
[39] Twitter for iPhone
[7] Twitter for iPad
[2] Vista Social Twitter
[1] Cloud2Social
[1] IFTTT

[267] freiheit
[222] of
[164] leben
[128] satire
[113] not
[111] ungeimpft
[102] deutschland
[101] liberal
[100] politik
[99] konservativ

[53] freiheit
[31] of
[27] frieden
[23] leben
[22] ungeimpft
[18] not
[18] liebe
[17] politik
[17] satire
[16] demokratie

[38] of
[31] freiheit
[19] satire
[17] leben
[17] anti
[15] pronomen
[14] zustimmung
[13] politik
[13] pro
[13] liberal

[30] of
[23] freiheit
[22] not
[18] liberal
[17] leben
[12] pro
[12] satire
[11] pronomen
[11] freedom
[8] unternehmer

[22] leben
[15] satire
[14] of
[14] freiheit
[13] konservativ
[13] patriot
[12] deutschland
[11] zustimmung
[11] liebe
[10] not

[16] of
[11] freiheit
[11] not
[10] pronomen
[10] ungeimpft
[10] satire
[8] people
[8] demokratie
[7] konservativ
[7] weiß

[13] freiheit
[11] leben
[9] of
[9] deutschland
[9] wahrheit
[7] konservativ
[7] denken
[7] demokratie
[6] zustimmung
[6] not

[15] freiheit
[12] of
[12] ungeimpft
[10] liberal
[9] konservativ
[8] not
[8] liebe
[8] leben
[7] pro
[7] patriot

[17] freiheit
[11] of
[10] liberal
[9] satire
[8] politik
[7] pronomen
[7] welt
[6] tweets
[6] afd
[6] frieden

[18] freiheit
[10] leben
[9] rechts
[8] denken
[8] twitter
[7] afd
[7] grüne
[6] zustimmung
[6] liberal
[6] deutschland

[10] of
[7] freiheit
[7] people
[7] pronomen
[7] politik
[6] welt
[6] satire
[5] now
[5] time
[5] here

[28] frieden,freiheit
[27] gefallener,engel
[24] alter,weißer
[23] liberal,konservativ
[18] engel,hölle
[17] leben,leben
[16] dipl,ing
[15] sapere,aude
[15] rechts,links
[15] automatisch,zustimmung

[10] gefallener,engel
[8] frieden,freiheit
[8] engel,hölle
[4] freiheit,demokratie
[3] freiheit,aufgibt
[3] go,broke
[3] sicherheit,gewinnen
[3] alter,weißer
[3] beides,verlieren
[3] mitglied,kontrollgruppe

[5] enemy,of
[5] rot,grün
[4] alter,weißer
[4] ι,н
[4] ceterum,censeo
[3] werbung,stehen
[3] bedeutet,zustimmung
[3] einigkeit,freiheit
[3] mitglied,kontrollgruppe
[3] esse,delendam

[4] alter,weißer
[4] liberal,konservativ
[3] leben,leben
[3] english,german
[3] gefallener,engel
[2] non,woke
[2] of,freedom
[2] of,two
[2] of,life
[2] männlich,weiß

[4] männer,schaffen
[4] schwache,männer
[4] starke,männer
[4] harte,zeiten
[4] zeiten,schaffen
[3] rechts,links
[3] afd,wähler
[3] leben,leben
[3] liberal,konservativ
[3] dipl,ing

[4] fool,people
[3] mark,twain
[3] weiß,deutsch
[2] sapere,aude
[2] twitter,account
[2] fooled,mark
[2] frau,mutter
[2] mitte,rechts
[2] ehemann,vater
[2] people,convince

[4] frieden,freiheit
[3] freiheit,demokratie
[2] afd,wähler
[2] unbedingt,zustimmung
[2] leben,lassen
[2] mean,pressed
[2] wähler,afd
[2] go,broke
[2] woke,go
[2] soziale,gerechtigkeit

[5] liberal,konservativ
[4] rechts,links
[3] alte,weiße
[2] grüner,mist
[2] alter,weiser
[2] liebe,freiheit
[2] ungeimpft,stolz
[2] alter,weißer
[2] out,of
[2] weiße,frau

[3] alter,weißer
[3] frieden,freiheit
[2] conspiracy,theories
[2] public,health
[2] ex,fdp
[2] politik,medien
[2] father,of
[2] wahrheit,liebe
[2] #noafd,#nodielinke

[4] selber,denken
[4] dipl,ing
[3] cary,grant
[2] leben,leben
[2] pro,libertate
[2] german,english
[2] alter,weiser
[2] realist,patriot
[2] links,rechts
[2] grant,cary

[2] links,rechts
[2] ini,ya
[2] hkg,dll
[2] power,of
[2] sport,politik
[2] dll,bisa
[2] prediksi,angka

Author Description


Overall Graph Metrics
Vertices : 7472
Unique Edges : 16316
Edges With Duplicates : 2011
Total Edges : 18327
Number of Edge Types : 9
Retweet : 13569
MentionsInRetweet : 2446
Replies to : 815
Mentions : 85
Tweet : 819
MentionsInReplyTo : 337
Quote : 237
MentionsInQuote : 18
MentionsInQuoteReply : 1
Self-Loops : 908
Reciprocated Vertex Pair Ratio : 0.0016984107727769
Reciprocated Edge Ratio : 0.00339106212910258
Connected Components : 345
Single-Vertex Connected Components : 278
Maximum Vertices in a Connected Component : 7038
Maximum Edges in a Connected Component : 17824
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.627955
Graph Density : 0.000295826231163067
Modularity : 0.480587
NodeXL Version : 1.0.1.521
Data Import : The graph represents a network of 7,472 Twitter users whose recent tweets contained "Drecksstaat", 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 8/31/2023 10:28:16 AM and 9/14/2023 10:28:16 AM. The network was obtained from Twitter on Thursday, 14 September 2023 at 12:07 UTC.

The tweets in the network were tweeted over the 300-day, 18-hour, 22-minute period from Thursday, 17 November 2022 at 19:45 UTC to Thursday, 14 September 2023 at 14:07 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 : Drecksstaat
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 Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Replied-To in Entire Graph:
@janinisabel
@niusde_
@shoutingcassy
@manaf12hassan
@jreichelt
@ben_brechtken
@jeky
@corona_realism
@mainstreamwatch
@cbgspender

Top Replied-To in G1:
@manaf12hassan
@cowgirlgermany
@reitschuster
@schlautropf
@alice_weidel
@mrelativist
@lovis_lex
@jane_banane_
@ben_brechtken
@ernsterjuenger

Top Replied-To in G2:
@niusde_
@corona_realism
@unbasiert
@untergrundbonn
@jreichelt
@markus_soeder
@drbrandner
@janinisabel
@not_a_ruscist
@hadmut

Top Replied-To in G3:
@shoutingcassy
@cbgspender
@liberalmut
@markus_soeder
@rechtsanwaltsh
@janinisabel
@migo_offiziell
@docbrandenburg
@marcuspretzell
@ben_brechtken

Top Replied-To in G4:
@mainstreamwatch
@ralfh49079853
@georg_pazderski
@manaf12hassan
@vladis_shadow
@cbgspender
@corona_realism
@katharina_munz
@hellogeist
@markusvollmer13

Top Replied-To in G5:
@janinisabel
@polenz_r
@vanny_aline
@gamergateblogde
@bcmt_ecet
@ben_brechtken
@velofisch
@xxloulou00
@trinic_tw
@kaler_berlin

Top Replied-To in G6:
@jreichelt
@janinisabel
@ljudmylamelnyk
@superlame_
@juergenhillmann
@marcuspretzell

Top Replied-To in G7:
@derspiegel
@alicologne
@echtkunde
@janinisabel
@jeky
@untergrundbonn
@rolfbaumgartne8
@somkameister
@cleiserfluss

Top Replied-To in G8:
@ben_brechtken
@welt
@shoutingcassy
@letatcmoi1
@janinisabel
@joergwimalasena
@stohr_klaus
@indikativjetzt
@drluetke
@marcuspretzell

Top Replied-To in G9:
@papkegerhard
@ine_327
@frau_ambivalenz
@iskad901
@shoutingcassy
@timrealityde
@gy_meag
@nailfreak1

Top Replied-To in G10:
@chris09j
@julianjanssen04
@insane71295669

Top Mentioned
Top Mentioned in Entire Graph:
@manaf12hassan
@ralfh49079853
@janinisabel
@jreichelt
@alicologne
@ben_brechtken
@papkegerhard
@corona_realism
@niusde_
@liberalmut

Top Mentioned in G1:
@manaf12hassan
@marion33755286
@aggi_dunkel
@ralfh49079853
@janinisabel
@ben_brechtken
@papkegerhard
@niusde_
@mainstreamwatch
@corona_realism

Top Mentioned in G2:
@corona_realism
@niusde_
@reitschuster
@janinisabel
@manaf12hassan
@zac1967
@ralfh49079853
@mathiasmarkert
@jreichelt

Top Mentioned in G3:
@liberalmut
@markus_soeder
@hubertaiwanger
@manaf12hassan
@janinisabel
@buurmann
@cbgspender
@ben_brechtken
@shoutingcassy
@alicologne

Top Mentioned in G4:
@ralfh49079853
@mainstreamwatch
@manaf12hassan
@papkegerhard
@jreichelt
@alicologne
@ben_brechtken
@janinisabel
@corona_realism
@niusde_

Top Mentioned in G5:
@janinisabel
@manaf12hassan
@timrealityde
@ralfh49079853
@corona_realism
@gamergateblogde
@niusde_
@cbgspender
@ruebenhorst
@shoutingcassy

Top Mentioned in G6:
@jreichelt
@manaf12hassan
@ralfh49079853
@janinisabel
@niusde_
@timrealityde
@buurmann
@drbrandner
@reitschuster
@zac1967

Top Mentioned in G7:
@alicologne
@manaf12hassan
@ralfh49079853
@jreichelt
@janinisabel
@niusde_
@reitschuster
@echtkunde
@zac1967
@derspiegel

Top Mentioned in G8:
@ben_brechtken
@manaf12hassan
@ralfh49079853
@alicologne
@janinisabel
@jreichelt
@corona_realism
@papkegerhard
@niusde_
@welt

Top Mentioned in G9:
@papkegerhard
@manaf12hassan
@jreichelt
@ralfh49079853
@alicologne
@ine_327
@janinisabel
@niusde_
@corona_realism
@reitschuster

Top Mentioned in G10:
@busines73618521
@aiste_sab98
@zepank89

Top Tweeters
Top Tweeters in Entire Graph:
@andreasandy3131
@s_total_s2
@mrstone0856
@bernd471
@welt
@tinimaus1110
@hackenstad
@vertig0nix
@oude_lap
@buntewelt1966

Top Tweeters in G1:
@vertig0nix
@buntewelt1966
@lars9596
@schwester_gk
@eriksonsanne
@berlin4russia
@birgit93birgit
@stefanolix
@panpagan
@schnauzevoll61

Top Tweeters in G2:
@mrstone0856
@tinimaus1110
@uwewolff966
@ntvde
@artep21
@pipo1245671
@wiese_r
@raimundraimund
@dorisbrehm
@gefrkamnitzer

Top Tweeters in G3:
@woli2017
@witzigwalter
@besorgtebrgeri2
@gedanken_denker
@markrudolph2701
@timecodex
@ministryoftru16
@stoergroessem
@frankaskaralius
@fooled_trooper

Top Tweeters in G4:
@s_total_s2
@bernd471
@connyro_bln
@drehorgel123
@roman51110
@lupus071
@borginov
@stopumts
@donjoschi
@elkelahl

Top Tweeters in G5:
@oude_lap
@mich_ewa
@janejane24
@megatwingo
@gerry6868
@klarnamemiggi
@petzvalus
@ibikus31
@ellyb53292373
@mirtschi2804

Top Tweeters in G6:
@kohn_sylvia
@brennstoff
@silviaherrmann_
@ulrichham
@tilmanwinkler
@nixdorf4
@mueller_nyc
@psch27389151
@ludo7s
@zielereicher

Top Tweeters in G7:
@beltschazzara
@derspiegel
@wien_zehn
@g_riederer
@huttetomdie
@chrisleenders1
@alicologne
@hilde_knef
@rockypsr
@egyptian_debora

Top Tweeters in G8:
@welt
@deutschzuerst
@paulsch72969276
@nikola_sarik
@deraltepoet
@erlingplaethe
@mizumonoukiyo
@mm33842521
@maikqdf
@rockitmen2014

Top Tweeters in G9:
@linksapi
@sprachmittlerud
@bwv_8
@anina41632224
@hrdronline
@heischonin
@nobby1949z
@rot_pe
@lursa2000
@askgreen8

Top Tweeters in G10:
@chrmail
@arnoldschiller
@airjibeer
@poronyos
@dravenstales
@williw01
@dorfbanker
@creeptonian
@julianjanssen04
@onlinegeld2


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