The graph represents a network of 16,011 Twitter users whose recent tweets contained "Queen Elizabeth", 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 Monday, 19 September 2022 at 03:01 UTC.
The tweets in the network were tweeted over the 2-hour, 32-minute period from Sunday, 18 September 2022 at 22:17 UTC to Monday, 19 September 2022 at 00:49 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 : 16011
Unique Edges : 19370
Edges With Duplicates : 3587
Total Edges : 22957
Number of Edge Types : 5
Retweet : 14688
Tweet : 4052
Mentions : 1426
MentionsInRetweet : 2046
Replies to : 745
Self-Loops : 4131
Reciprocated Vertex Pair Ratio : 0.00272696284513124
Reciprocated Edge Ratio : 0.00543909348441926
Connected Components : 2661
Single-Vertex Connected Components : 1548
Maximum Vertices in a Connected Component : 10733
Maximum Edges in a Connected Component : 17098
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.778449
Graph Density : 6.88549108434235E-05
Modularity : 0.73995
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 16,011 Twitter users whose recent tweets contained "Queen Elizabeth", 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 Monday, 19 September 2022 at 03:01 UTC.
The tweets in the network were tweeted over the 2-hour, 32-minute period from Sunday, 18 September 2022 at 22:17 UTC to Monday, 19 September 2022 at 00:49 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 : Queen Elizabeth
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:
[17461] queen,elizabeth [11734] elizabeth,ii [2982] majesty,queen [1662] westminster,hall [1625] state,funeral [1190] elizabeth,gta [1187] gta,development [1096] lying,state [1039] condolence,book [933] funeral,queen Top Word Pairs in Tweet in G1:
[3402] queen,elizabeth [2782] elizabeth,ii [731] westminster,hall [708] state,funeral [471] majesty,queen [454] respects,queen [427] buckingham,palace [324] funeral,queen [317] lying,state [312] hm,queen Top Word Pairs in Tweet in G2:
[1478] queen,elizabeth [752] elizabeth,ii [133] state,funeral [120] elizabeth,ii's [105] majesty,queen [86] ii,funeral [85] queen,elizabeth's [79] big,ben [78] uk,parliament [77] lying,state Top Word Pairs in Tweet in G3:
[1182] queen,elizabeth [1181] elizabeth,gta [1181] gta,development Top Word Pairs in Tweet in G4:
[1248] queen,elizabeth [1185] elizabeth,ii [820] majesty,queen [814] condolence,book [809] ii,met [806] jill,signed [806] signed,official [806] official,condolence [806] book,majesty [806] met,queen Top Word Pairs in Tweet in G5:
[781] queen,elizabeth [560] elizabeth,ii [111] elizabeth,ii's [103] british,empire [101] genocide,biafran [101] biafran,people [101] people,direction [101] empire,millions [101] millions,biafrans [101] biafrans,killed Top Word Pairs in Tweet in G6:
[718] queen,elizabeth [620] elizabeth,ii [232] majesty,queen [170] prime,minister [158] ii,hospital [155] maroondah,hospital [130] hospital,aboriginal [126] aboriginal,derived [115] united,kingdom [102] offered,condolences Top Word Pairs in Tweet in G7:
[599] queen,elizabeth [574] elizabeth,ii [303] westminster,hall [239] lying,state [232] ii,lying [224] stand,vigil [221] vigil,coffin [219] scenes,westminster [219] hall,queen [219] state,guards Top Word Pairs in Tweet in G8:
[420] queen,elizabeth [416] elizabeth,ii [362] ii,died [362] died,introduced [362] introduced,12 [362] 12,mourning [362] mourning,200 [362] 200,000 [362] 000,people [362] people,died Top Word Pairs in Tweet in G9:
[442] queen,elizabeth [286] elizabeth,ii [128] state,funeral [111] westminster,hall [91] joe,biden [90] president,joe [85] biden,lady [70] lady,jill [70] jill,biden [69] biden,paid Top Word Pairs in Tweet in G10:
[556] queen,elizabeth [518] elizabeth,ii [159] #queenelizabethii,#queenelizabeth [157] ii,longtime [157] longtime,dresser [157] dresser,angela [157] angela,kelly [157] kelly,shares [157] shares,queen [157] queen,told Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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 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: