The graph represents a network of 11,408 Twitter users whose recent tweets contained "Wagenknecht", 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 Friday, 24 March 2023 at 13:31 UTC.
The tweets in the network were tweeted over the 5-day, 20-hour, 59-minute period from Saturday, 18 March 2023 at 15:40 UTC to Friday, 24 March 2023 at 12:40 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 : 11408
Unique Edges : 20477
Edges With Duplicates : 6177
Total Edges : 26654
Number of Edge Types : 5
Retweet : 10322
Replies to : 6049
Mentions : 5558
Tweet : 2093
MentionsInRetweet : 2632
Self-Loops : 2193
Reciprocated Vertex Pair Ratio : 0.0101895057613561
Reciprocated Edge Ratio : 0.0201734539969834
Connected Components : 871
Single-Vertex Connected Components : 590
Maximum Vertices in a Connected Component : 9998
Maximum Edges in a Connected Component : 25101
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.343732
Graph Density : 0.000163035640008946
Modularity : 0.541926
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 11,408 Twitter users whose recent tweets contained "Wagenknecht", 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 Friday, 24 March 2023 at 13:31 UTC.
The tweets in the network were tweeted over the 5-day, 20-hour, 59-minute period from Saturday, 18 March 2023 at 15:40 UTC to Friday, 24 March 2023 at 12:40 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
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:
[2820] sahra,wagenknecht [1443] frau,wagenknecht [930] sahra,#wagenknecht [622] frau,#wagenknecht [596] 790,000 [542] nebeneinkünfte,#wagenknecht [539] blind,leute [539] erzählen,experten [539] hört,blind [539] leute,erzählen Top Word Pairs in Tweet in G1:
[452] sahra,wagenknecht [335] sahra,#wagenknecht [313] frau,wagenknecht [226] wagenknecht,partei [135] janine,wissler [129] dielinke,schirdewan [126] gregorgysi,dielinke [117] partei,gründen [116] sogar,linke [115] inhalte,sprechen Top Word Pairs in Tweet in G2:
[451] sahra,wagenknecht [296] wagenknecht,lässt [169] frau,#wagenknecht [164] investmentkonferenz,dekabank [164] efficiency,club [164] swiss,rock [164] rock,asset [164] unternehmertag,wollerau [164] linker,doppelmoral [164] kritikerin,linker Top Word Pairs in Tweet in G3:
[1064] sahra,wagenknecht [463] leute,erzählen [463] blind,leute [463] hört,blind [463] erzählen,experten [370] #impfschäden,#mrna [370] #mrna,#covid19 [370] wagenknecht,karl [370] karl,lauterbach [370] #covid19,#impflüge Top Word Pairs in Tweet in G4:
[243] frau,wagenknecht [205] sahra,wagenknecht [128] #wagenknecht,#schwarzer [101] #ganser,#wagenknecht [83] krieg,gekommen [83] hineingezogen,tages [83] #ukrainekrieg,#maischberger [83] europäischen,krieg [83] krieg,hineingezogen [83] deutschland,krieg Top Word Pairs in Tweet in G5:
[400] 790,000 [399] #abschaum,#dreckspack [399] eil,soso [399] bundesländer,verweigert [399] nebeneinkünfte,#wagenknecht [399] belaufen,790 [399] 000,proletarier [399] verweigert,#abschaum [399] soso,nebeneinkünfte [399] #wagenknecht,belaufen Top Word Pairs in Tweet in G6:
[312] frau,wagenknecht [96] wagenknecht,dielinke [96] auswaertigesamt,abaerbock [94] abaerbock,wagenknecht [90] swagenknecht,frau [84] sahra,wagenknecht [62] agenthina,auswaertigesamt [48] swagenknecht,wagenknecht [47] frau,#wagenknecht [32] skandal,swagenknecht Top Word Pairs in Tweet in G7:
[153] sahra,wagenknecht [48] 000,euro [30] #,# [28] 750,000 [26] sahra,#wagenknecht [26] wagenknecht,partei [25] sarah,wagenknecht [24] frau,wagenknecht [22] 800,000 [19] partei,gründen Top Word Pairs in Tweet in G8:
[64] sahra,wagenknecht [58] frau,wagenknecht [40] sahra,#wagenknecht [23] wagenknecht,partei [20] 000,euro [17] janine,wissler [17] tagesschau,wagenknecht [15] kritik,aushalten [15] wagenknecht,zuhören [15] stabilen,genossin Top Word Pairs in Tweet in G9:
[42] frau,wagenknecht [22] sahra,wagenknecht [10] sarah,wagenknecht [9] wartet,befehle [9] befehle,russland [8] maurice_conrad,frau [8] oskar,lafontaine [8] lieblings,ushanka [8] lafontaine,wartet [8] sitzt,lieblings Top Word Pairs in Tweet in G10:
[40] wydawnictwo,campus [40] książce,którą [40] swojej,książce [40] 99,euro [40] 868,99 [40] wzbogaciła,ciągu [40] którą,opublikowało [40] się,wzbogaciła [40] 720,868 [40] jest,normalna 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 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:
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Top Tweeters in G9:
Top Tweeters in G10: