The graph represents a network of 11,110 Twitter users whose recent tweets contained "Habeck", 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 1/2/2024 12:00:00 AM and 1/6/2024 11:59:59 PM. The network was obtained from Twitter on Tuesday, 09 January 2024 at 21:03 UTC.
The tweets in the network were tweeted over the 1925-day, 12-hour, 34-minute period from Tuesday, 02 October 2018 at 09:28 UTC to Tuesday, 09 January 2024 at 22:03 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 : 11110
Unique Edges : 21855
Edges With Duplicates : 3275
Total Edges : 25130
Number of Edge Types : 9
Retweet : 16706
Replies to : 2782
MentionsInReplyTo : 1260
MentionsInRetweet : 2203
Quote : 448
MentionsInQuote : 62
Tweet : 1240
MentionsInQuoteReply : 147
Mentions : 282
Self-Loops : 1482
Reciprocated Vertex Pair Ratio : 0.00307497512887763
Reciprocated Edge Ratio : 0.00613109728608782
Connected Components : 428
Single-Vertex Connected Components : 239
Maximum Vertices in a Connected Component : 10324
Maximum Edges in a Connected Component : 24375
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.458432
Graph Density : 0.000179726317217193
Modularity : 0.567202
NodeXL Version : 1.0.1.528
Data Import : The graph represents a network of 11,110 Twitter users whose recent tweets contained "Habeck", 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 1/2/2024 12:00:00 AM and 1/6/2024 11:59:59 PM. The network was obtained from Twitter on Tuesday, 09 January 2024 at 21:03 UTC.
The tweets in the network were tweeted over the 1925-day, 12-hour, 34-minute period from Tuesday, 02 October 2018 at 09:28 UTC to Tuesday, 09 January 2024 at 22:03 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 : Habeck
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:
[2196] robert,habeck [627] robert,#habeck [603] habeck,fähre [537] habeck,blockade [443] habeck,wirtschaftsminister [436] erfolg,feiert [436] wirtschaftsminister,rückgang [436] produktion,wohlstand [436] wohlstand,erfolg [436] rückgang,produktion Top Word Pairs in Tweet in G1:
[900] robert,habeck [367] habeck,wirtschaftsminister [363] wohlstand,erfolg [363] erfolg,feiert [363] produktion,wohlstand [363] rückgang,produktion [363] wirtschaftsminister,rückgang [358] rolandtichy,robert [358] feiert,schwieri [333] robert,#habeck Top Word Pairs in Tweet in G2:
[316] robert,habeck [280] demonstranten,richtung [274] angst,bekommen [274] kinder,angst [257] unheimlich,demonstranten [257] bekommen,unheimlich [197] habeck,fähre [187] bürger,innen [181] angriff,#habeck [178] habeck,co Top Word Pairs in Tweet in G3:
[102] robert,habeck [47] habeck,fähre [37] bauern,bedrängt [37] schlug,habeck [37] nutzen,heizung [37] habeck,geschlossene [37] grünen,letzten [37] bedrängt,unsäglich [37] aufgebrachten,bauern [37] hotels,nutzen Top Word Pairs in Tweet in G4:
[288] habeck,blockade [189] grünen,dortmund [189] protestforscher,rechnungsprüfer [189] rechnungsprüfer,grünen [156] interviewte,protestforscher [156] dortmund,#reformoerr [156] blockade,interviewte [156] phoenix,habeck [155] #reformoerr,#oerrblo [155] oerrblog,phoenix Top Word Pairs in Tweet in G5:
[80] gefährliche,situation [72] robert,#habeck [71] c_lindner,gefährliche [63] völlig,inakzeptabel [61] situation,kollege [60] #habeck,gekommen [59] gekommen,völlig [59] kollege,robert [58] inakzeptabel,ka [36] robert,habeck Top Word Pairs in Tweet in G6:
[108] verletzt,polizei [108] #habeck,gefahr [108] nichtmal,gewalt [108] gewalt,sprechen [108] gefahr,verletzt [108] staatsfernsehens,abend [108] berichterstattung,staatsfernsehens [108] abend,habeck [108] habeck,afähre [108] fassen,#habeck Top Word Pairs in Tweet in G7:
[162] robert,habeck [73] 22,minuten [73] bauernprotest,habeck [73] minuten,sehen [73] habeck,spricht [73] sehen,bilder [73] spricht,22 [71] komplette,beweis [71] beweis,bauernprotest [70] habeck,regierung Top Word Pairs in Tweet in G8:
[225] german,farmers [224] basis,of [224] trying,vilify [224] farmers,violent [224] vilify,german [224] now,trying [224] media,now [224] german,mainstream [224] mainstream,media [224] of,entire Top Word Pairs in Tweet in G9:
[264] habeck,liest [264] neuesten,kinderbuch [264] liest,neuesten [263] kinderbuch,#bauern [263] snicklink,habeck [28] impfen,nadel [28] nadel,glüht [22] robert,habeck [21] #habeck,#generalstreik2024 [19] verdient,impfen Top Word Pairs in Tweet in G10:
[139] robert,habeck [131] sigmargabriel,klartext [129] aktionen,robert [129] habeck,gesprochen [129] klartext,aktionen [129] beschämend,empörend [129] gesprochen,beschämend [28] fähre,habeck [27] rechtspopulistische,zündel [27] stürmen,bietet Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: