The graph represents a network of 10,480 Twitter users whose recent tweets contained "Tagesschau", 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 Sunday, 08 January 2023 at 22:20 UTC.
The tweets in the network were tweeted over the 1-day, 0-hour, 43-minute period from Saturday, 07 January 2023 at 21:03 UTC to Sunday, 08 January 2023 at 21:46 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 : 10480
Unique Edges : 18070
Edges With Duplicates : 15773
Total Edges : 33843
Number of Edge Types : 5
Retweet : 5946
Replies to : 12840
Mentions : 10851
MentionsInRetweet : 2869
Tweet : 1337
Self-Loops : 1414
Reciprocated Vertex Pair Ratio : 0.0250047719030349
Reciprocated Edge Ratio : 0.0487895716945996
Connected Components : 634
Single-Vertex Connected Components : 472
Maximum Vertices in a Connected Component : 9540
Maximum Edges in a Connected Component : 32782
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.831253
Graph Density : 0.000195592930681428
Modularity : 0.412634
NodeXL Version : 1.0.1.508
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=287473
Data Import : The graph represents a network of 10,480 Twitter users whose recent tweets contained "Tagesschau", 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 Sunday, 08 January 2023 at 22:20 UTC.
The tweets in the network were tweeted over the 1-day, 0-hour, 43-minute period from Saturday, 07 January 2023 at 21:03 UTC to Sunday, 08 January 2023 at 21:46 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 : Tagesschau
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:
[1146] pcr,tests [402] #pcrtests,#corona [399] #investigativ,#pcrtests [353] sachgerecht,erforderlich [344] weder,sachgerecht [311] tests,weder [304] kosten,steuerzahlers [301] hinweise,mögliche [300] investigatives,örr [300] profit,kosten Top Word Pairs in Tweet in G1:
[308] pcr,tests [225] #pcrtests,#corona [224] #investigativ,#pcrtests [178] sachgerecht,erforderlich [176] weder,sachgerecht [175] tests,weder [146] erforderlich,#investigativ [84] hinweise,mögliche [82] mögliche,milliardenverschwendung [79] milliardenverschwendung,pcr Top Word Pairs in Tweet in G2:
[605] pcr,tests [269] kosten,steuerzahlers [265] abermilliarden,profit [265] eilmeldung,investigatives [265] 34,monaten [265] laborbranche,schwachsinnige [265] pcr,massentests [265] recherche,laborbranche [265] reporterteam,deckt [265] investigatives,örr Top Word Pairs in Tweet in G3:
[249] svenlehmann,tagesschau [243] die_gruenen,svenlehmann [69] akzeptanz,vielfalt [68] wären,rape [68] cultur,#frauensagennein [68] rape,cultur [68] frauen,trimmen [68] grenzen,körper [68] sogenannte,akzeptanz [68] mädchen,jungen Top Word Pairs in Tweet in G4:
[148] ard_bab,tagesschau [104] lindateuteberg,sawsanchebli [80] sawsanchebli,tagesschau [79] ard_bab,lindateuteberg [57] denklaut,tagesschau [49] tagesschau,franziskagiffey [41] tagesschau,matthiasdeiss [40] abbaschoucair2,tagesschau [35] gruneliebe,tagesschau [30] _onlinefirst,tonline Top Word Pairs in Tweet in G5:
[32] pcr,tests [22] sachgerecht,erforderlich [21] weder,sachgerecht [16] hinweise,mögliche [14] mögliche,milliardenverschwendung [12] tests,beeinflusst [11] labormediziner,gesetze [10] bolsonaro,anhänger [10] milliarden,verdient [10] pcr,test Top Word Pairs in Tweet in G6:
[40] verantwortungslos,#marder [40] bevölkerungsmehrheit,67 [40] #ukraine,amp [40] lieferung,eskalieren [40] panzer,lieferung [40] diplomatie,setzen [40] amp,vollkommen [40] anstatt,diplomatie [40] vollkommen,verantwortungslos [40] 67,ausbau Top Word Pairs in Tweet in G7:
[72] null,setzen [72] mehrwertsteuer,obst [57] obst,gemüse [48] cheflobbyist,rwe [48] cem_oezdemir,sympathien [48] politikerin,märz [48] langjähriger,mitarbeiter [48] bürochef,grünen [48] grünen,politikerin [48] gemüse,hülsenfrüchte Top Word Pairs in Tweet in G8:
[88] vassiligolod,tagesschau [84] tagesschau,tagesthemen [83] weltspiegel_ard,wdraktuell [83] tagesthemen,weltspiegel_ard [83] wdraktuell,ukrverstehen [83] ukrverstehen,ukraine_world [83] ukraine_world,klitschko [83] vitaliy_klychko,makeiev [83] makeiev,melnykandrij [83] klitschko,vitaliy_klychko Top Word Pairs in Tweet in G9:
[91] maximloboda_,tagesschau [26] marella03273759,tagesschau [20] maximloboda_,marella03273759 [18] chropinionmb,tagesschau [17] deutsche,staatsbürgerschaft [16] maurice_conrad,chropinionmb [14] baha_jam,tagesschau [14] maximloboda_,baha_jam [12] tagesschau,deutsche [10] islamistischen,anschlag Top Word Pairs in Tweet in G10:
[32] tagesschau,experte [31] experte,tauglich [31] lässt,tagesschau [31] floskelfrei,bauchgefühl [31] lieblingstweet,sympathischen [31] freien,lauf [31] rotschopfs,sprachlich [31] sprachlich,sensibel [31] absoluter,lieblingstweet [31] lauf,lässt 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 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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: