The graph represents a network of 7,305 Twitter users whose recent tweets contained "#hartaberfair", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 28 February 2023 at 13:29 UTC.
The tweets in the network were tweeted over the 10-day, 6-hour, 23-minute period from Saturday, 18 February 2023 at 06:47 UTC to Tuesday, 28 February 2023 at 13:10 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 7305
Unique Edges : 15995
Edges With Duplicates : 5837
Total Edges : 21832
Number of Edge Types : 5
Retweet : 11259
Replies to : 850
MentionsInRetweet : 5692
Tweet : 2859
Mentions : 1172
Self-Loops : 2927
Reciprocated Vertex Pair Ratio : 0.00114217012323414
Reciprocated Edge Ratio : 0.00228173411792963
Connected Components : 752
Single-Vertex Connected Components : 680
Maximum Vertices in a Connected Component : 6438
Maximum Edges in a Connected Component : 20592
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.634703
Graph Density : 0.00031213148281009
Modularity : 0.437481
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 7,305 Twitter users whose recent tweets contained "#hartaberfair", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 28 February 2023 at 13:29 UTC.
The tweets in the network were tweeted over the 10-day, 6-hour, 23-minute period from Saturday, 18 February 2023 at 06:47 UTC to Tuesday, 28 February 2023 at 13:10 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #hartaberfair
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:
[973] massenmörder,terrorist [861] danke,mastrackzi [843] wladimir,putin [841] #wagenknecht,#hartaberfair [839] frage,gestellt [838] ukraine,frage [838] mastrackzi,deutlichkeit [838] ausgesprochen,#hartaberfair [838] terrorist,integrität [838] gestellt,land Top Word Pairs in Tweet in G1:
[397] strack,zimmermann [341] göring,eckardt [191] sahra,#wagenknecht [190] zimmermann,putin [189] viertelstundentakt,fernseher [189] putin,göring [189] vergewaltigen,viertelstundentakt [189] fernseher,#hartaberfair [189] eckardt,russen [189] russen,vergewaltigen Top Word Pairs in Tweet in G2:
[321] kriegsverbrechen,seiten [321] seiten,begangen [271] #wagenknecht,#hartaberfair [247] russische,soldaten [211] unfassbar,#hartaberfair [203] vergewaltigungen,russische [199] soldaten,ukraine [199] begangen,#wagenknecht [198] sahra,wagenknecht [197] bericht,un Top Word Pairs in Tweet in G3:
[600] danke,mastrackzi [599] wladimir,putin [596] mastrackzi,deutlichkeit [596] massenmörder,terrorist [595] frage,gestellt [595] vernichtet,danke [595] land,vernichtet [595] deutlichkeit,ausgesprochen [595] terrorist,integrität [595] ukraine,frage Top Word Pairs in Tweet in G4:
[258] distanziere,swagenknecht [215] swagenknecht,distanziere [192] #hartaberfair,daserste [145] worum,eigentlich [145] neu,moderator [145] moderator,louisklamroth [145] gebremst,einzuladen [145] einzuladen,frau [145] frau,ausgelutscht [145] fragt,worum Top Word Pairs in Tweet in G5:
[51] #impfquote,gg [51] #luther,#maskenrunter [51] #lauterbach,#luther [51] gg,#impftote [51] #buildbackbetter,#lauterbach [48] #auf1,info [40] frau,wagenknecht [35] #wagenknecht,#hartaberfair [32] #auf1,tv [30] #auf1clip,#buildbackbetter Top Word Pairs in Tweet in G6:
[265] verhandeln,frieden [265] letzte,russische [265] ukraine,verlassen [265] sofort,letzte [265] verlassen,kämpfen [265] maul,halten [265] frieden,sofort [265] 20,20 [265] 20,gulag [265] satz,waffenlieferungen Top Word Pairs in Tweet in G7:
[106] knecht,hilft [106] soso,peter [106] mitverantwortlich,putins [106] manifest,#sahra_wagenknecht [106] #gauweiler,erstunterzeichner [106] krieg,afd [106] hilft,übelkeit [106] afd,knecht [106] #sahra_wagenknecht,vertritt [106] peter,#gauweiler Top Word Pairs in Tweet in G8:
[257] gesehen,politischen [257] fernsehen,gesehen [257] folge,#hartaberfair [257] klar,abgesprochen [257] #wagenknecht,person [257] gestrige,folge [257] schlimmste,fernsehen [257] zerstören,klar [257] politischen,diskussionen [257] abgesprochen,medienkrieg Top Word Pairs in Tweet in G9:
[157] #wagenknecht,#hartaberfair [140] #hartaberfair,#vergewaltigungen [139] talkshowwelt,#klamroth [139] lassen,#wagenknecht [139] falschmeldungen,stehen [139] lichtblick,talkshowwelt [139] moderator,sendung [139] verantwortung,moderator [139] sendung,falschmeldungen [139] problem,verantwortung Top Word Pairs in Tweet in G10:
[12] selbstgefällige,lügenpresse [12] unterstellungen,infantile [12] argumenten,stattfindet [12] #hartaberfair,selbstbewussten [12] undemokratische,gruppenspezifische [12] #friedensbewegung,#hartaberfair [12] opferrolle,undemokratische [12] diffamierung,#friedensbewegung [12] entmenschlichende,unterstellungen [12] selbstbewussten,argumenten Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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 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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: