The graph represents a network of 9,511 Twitter users whose recent tweets were included in a list (Tweet ID List - #Covid19UK September 2021) of 16279 tweet IDs, or who were replied to or mentioned in those tweets. 15136 out of 16279 tweets were collected. The network was obtained from Twitter on Friday, 01 October 2021 at 19:39 UTC.
The tweets in the network were tweeted over the 29-day, 22-hour, 41-minute period from Wednesday, 01 September 2021 at 00:12 UTC to Thursday, 30 September 2021 at 22:54 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 : 9511
Unique Edges : 15729
Edges With Duplicates : 10045
Total Edges : 25774
Self-Loops : 4909
Reciprocated Vertex Pair Ratio : 0.00981266726137377
Reciprocated Edge Ratio : 0.019434628975265
Connected Components : 1523
Single-Vertex Connected Components : 1034
Maximum Vertices in a Connected Component : 6862
Maximum Edges in a Connected Component : 21986
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.658087
Graph Density : 0.000175213580246504
Modularity : 0.527612
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 9,511 Twitter users whose recent tweets were included in a list (Tweet ID List - #Covid19UK September 2021) of 16279 tweet IDs, or who were replied to or mentioned in those tweets. 15136 out of 16279 tweets were collected. The network was obtained from Twitter on Friday, 01 October 2021 at 19:39 UTC.
The tweets in the network were tweeted over the 29-day, 22-hour, 41-minute period from Wednesday, 01 September 2021 at 00:12 UTC to Thursday, 30 September 2021 at 22:54 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 : TwitterIDList
Graph Term : Tweet ID List - #Covid19UK September 2021
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1132] #covid19,#covid19uk [931] mask,works [931] works,glasses [931] glasses,wearers [931] wearers,#sales [894] covid,19 [884] #supportsmallstreamers,#maskup [818] learn,live [818] #sales,#covid_19 [795] people,uk Top Word Pairs in Tweet in G1:
[413] 150,000 [413] 000,#covid19uk [411] over,150 [409] agree,borisjohnson [409] borisjohnson,charged [409] charged,manslaughter [409] manslaughter,over [409] #covid19uk,dead [340] #coronavirusuk,#covid19uk [192] #covid19,#covid19uk Top Word Pairs in Tweet in G2:
[111] #covid19,#covid19uk [78] #covid19uk,#covid19 [61] #covid,#covid19uk [55] covid,19 [40] #covid19uk,#covid [38] #covid_19,#covid19uk [37] #covid19ph,#covid19uk [35] #covid,#covid19ph [34] #airporttransfer,#airportlife [34] #airportlife,#chauffeur Top Word Pairs in Tweet in G3:
[656] past,people [656] people,uk [656] uk,accept [656] accept,learn [656] learn,live [656] live,cholera [656] cholera,measles [656] measles,polio [656] polio,plague [656] plague,rabies Top Word Pairs in Tweet in G4:
[181] #covid19uk,#covid_19 [164] #longcovid,#longcovidkids [160] #covid_19,#longcovid [159] #covid,#covid19uk [157] 28,days [150] sep,2021 [124] organcadenza,gailyloulabell [122] gailyloulabell,leahbra_numbers [122] leahbra_numbers,aprilmay001 [122] aprilmay001,janepreece3 Top Word Pairs in Tweet in G5:
[178] more,more [92] second,highest [92] highest,number [92] number,new [92] new,daily [92] daily,#covid19uk [92] #covid19uk,cases [92] cases,world [89] care,much [89] much,cabinet Top Word Pairs in Tweet in G6:
[41] #covid19,#covid19uk [31] johnson,knows [31] knows,s [31] s,go [31] go,belly [31] belly,up [31] up,#covid19uk [18] the_tuc,calling [18] calling,general [18] general,strike Top Word Pairs in Tweet in G7:
[342] 28,days [260] sep,2021 [163] 7,days [115] deaths,24hrs [113] deaths,28 [112] ventilation,beds [106] 24hrs,1 [99] positive,test [98] within,28 [98] days,positive Top Word Pairs in Tweet in G8:
[190] bev,turner [185] #covid19uk,#covid19vaccination [184] turner,brings [184] brings,up [184] up,key [184] key,point [184] point,#pfizer [184] #pfizer,held [184] held,legally [184] legally,accountable Top Word Pairs in Tweet in G9:
[262] news,bbc [262] bbc,conseil [262] conseil,scientifique [262] scientifique,gouvernement [262] gouvernement,royaume [262] royaume,uni [262] uni,ne [262] ne,recommande [262] recommande,pas [262] pas,vaccination Top Word Pairs in Tweet in G10:
[425] #covid19uk,#coronavirusuk [425] #coronavirusuk,#dailycovidupdate [190] new,cases [167] cases,reported [121] reported,today [121] northern,ireland [93] population,#covid19uk [89] today,up [86] 16,population [85] number,new Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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: