The graph represents a network of 10,692 Twitter users whose recent tweets contained "Wagenknecht OR @SWagenknecht", 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, 24 January 2023 at 15:42 UTC.
The tweets in the network were tweeted over the 1-day, 20-hour, 47-minute period from Sunday, 22 January 2023 at 18:32 UTC to Tuesday, 24 January 2023 at 15:19 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 : 10692
Unique Edges : 17444
Edges With Duplicates : 14833
Total Edges : 32277
Number of Edge Types : 5
Retweet : 8388
MentionsInRetweet : 2711
Tweet : 361
Replies to : 9976
Mentions : 10841
Self-Loops : 405
Reciprocated Vertex Pair Ratio : 0.0246600268147864
Reciprocated Edge Ratio : 0.0481330903313239
Connected Components : 214
Single-Vertex Connected Components : 127
Maximum Vertices in a Connected Component : 10338
Maximum Edges in a Connected Component : 31967
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 2.90356
Graph Density : 0.000187204463386922
Modularity : 0.405945
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 10,692 Twitter users whose recent tweets contained "Wagenknecht OR @SWagenknecht", 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, 24 January 2023 at 15:42 UTC.
The tweets in the network were tweeted over the 1-day, 20-hour, 47-minute period from Sunday, 22 January 2023 at 18:32 UTC to Tuesday, 24 January 2023 at 15:19 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 : Wagenknecht OR @SWagenknecht
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2089] sahra,wagenknecht [1460] widerliche,hexe [1405] wagenknecht,widerliche [1232] strack,zimmermann [1129] melnyk,beleidigt [1014] lieferung,schwerer [1009] flugzeugen,truppen [1008] schwerer,#kampfpanzer [1007] #kampfpanzer,fordert [1006] direkte,kriegsteilnahme Top Word Pairs in Tweet in G1:
[612] lieferung,schwerer [611] flugzeugen,truppen [611] reden,verantwortungslos [610] #kampfpanzer,fordert [610] truppen,rufen [610] direkte,kriegsteilnahme [610] schwerer,#kampfpanzer [609] #strackzimmermann,reden [609] hinein,lieferung [609] verantwortungslos,direkte Top Word Pairs in Tweet in G2:
[1036] sahra,wagenknecht [870] strack,zimmermann [717] fordert,frieden [717] wagenknecht,fordert [715] falsch,abgebogen [713] heizt,krieg [713] frieden,öffentlich [713] deutschland,falsch [713] öffentlich,diffamiert [713] genau,deutschland Top Word Pairs in Tweet in G3:
[300] swagenknecht,dielinke [122] jonathanwieger1,swagenknecht [109] sahra,wagenknecht [93] schweizok2,swagenknecht [90] 185,stgb [89] stellt,strafanzeige [89] hoffe,swagenknecht [89] swagenknecht,stellt [89] frage,erlauben [89] stgb,info Top Word Pairs in Tweet in G4:
[675] widerliche,hexe [656] wagenknecht,widerliche [476] melnyk,beleidigt [436] erfordern,geschlossen [436] geschlossen,beleidigungen [436] beleidigungen,verwahren [436] hexe,mindestmaß [436] anstand,unseren [436] unseren,politikern [436] politikern,erfordern Top Word Pairs in Tweet in G5:
[408] mdrde,swagenknecht [255] arndtrommy,mdrde [220] ulrikeguerot,arndtrommy [161] frau,arndt [161] freien,medienlandschaft [158] #ukraine,krieg [157] mastrackzi,beschwert [156] mdr,mdrde [156] presse,mdr [155] offens,mastrackzi Top Word Pairs in Tweet in G6:
[138] sahra,wagenknecht [101] swagenknecht,marcfriedrich7 [77] olli441,swagenknecht [74] marcfriedrich7,swagenknecht [72] wagenknecht,verbaast [70] deskundigen,allemaal [70] huidige,militair [70] tot,huidige [70] verbaast,vele [70] vele,duitse Top Word Pairs in Tweet in G7:
[329] melnykandrij,swagenknecht [68] schmitt_news,melnykandrij [56] sahra,wagenknecht [43] frau,wagenknecht [38] sozusagen,baga [38] melnykandrij,denkt [38] #dielinke,melnykandrij [38] baga,jaga [38] beweis,tisch [38] denkt,liegt Top Word Pairs in Tweet in G8:
[134] moritz_harrer,swagenknecht [77] mysterx479,swagenknecht [73] arwo53732394,swagenknecht [51] lichtschattenx,swagenknecht [39] sugarwingl,mysterx479 [37] rkrypto1,arwo53732394 [36] alterweiserman7,arwo53732394 [31] pebelsberger,mysterx479 [30] norbert_berlin,swagenknecht [30] klauseuteneuer,swagenknecht Top Word Pairs in Tweet in G9:
[159] ukrainische,regime [159] dreht,komplett [159] regime,dreht [116] sahra,wagenknecht [70] widerliche,hexe [59] wagenknecht,widerliche [50] melnyk,beleidigt [49] wirtschaft,rechnet [49] institut,dt [49] rechnet,2023 Top Word Pairs in Tweet in G10:
[87] marcusfaber,swagenknecht [29] georgenigg,swagenknecht [26] sahra,wagenknecht [24] asow,nazis [24] drecks,amis [22] artjomka,swagenknecht [21] gewählte,regierung [20] frau,wagenknecht [20] demokratisch,gewählte [19] blundwerder,swagenknecht 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:
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: