The graph represents a network of 21,024 Twitter users whose recent tweets were included in a list (Tweet ID List - #covid19uk - week 39) of 26301 tweet IDs, or who were replied to or mentioned in those tweets. 25330 out of 26301 tweets were collected. The network was obtained from Twitter on Thursday, 24 December 2020 at 14:51 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 57-minute period from Tuesday, 15 December 2020 at 00:00 UTC to Monday, 21 December 2020 at 23:57 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 : 21024
Unique Edges : 25734
Edges With Duplicates : 9442
Total Edges : 35176
Self-Loops : 10367
Reciprocated Vertex Pair Ratio : 0.00775727531442211
Reciprocated Edge Ratio : 0.0153951263948987
Connected Components : 6396
Single-Vertex Connected Components : 5022
Maximum Vertices in a Connected Component : 11609
Maximum Edges in a Connected Component : 23507
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.420383
Graph Density : 4.96733446465931E-05
Modularity : 0.643531
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 21,024 Twitter users whose recent tweets were included in a list (Tweet ID List - #covid19uk - week 39) of 26301 tweet IDs, or who were replied to or mentioned in those tweets. 25330 out of 26301 tweets were collected. The network was obtained from Twitter on Thursday, 24 December 2020 at 14:51 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 57-minute period from Tuesday, 15 December 2020 at 00:00 UTC to Monday, 21 December 2020 at 23:57 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 - week 39
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:
[1734] covid,19 [1409] #covid19,#covid19uk [1348] tier,4 [1347] new,strain [1223] #covid19uk,#covid19 [1062] out,control [1008] #covid_19,#covid19uk [775] stay,safe [756] new,tier [713] #covid19uk,restrictions Top Word Pairs in Tweet in G1:
[361] tier,4 [343] #covid19,#covid19uk [315] #covid_19,#covid19uk [229] #tier4,#covid19uk [217] #covid19uk,#covid19 [190] covid,19 [174] #covid19uk,#tier4 [171] #covid19uk,#covid_19 [158] new,strain [158] don,t Top Word Pairs in Tweet in G2:
[416] #covid19uk,mutation [414] meeting,borisjohnson [413] wide,lockdown [412] secret,meeting [412] borisjohnson,tonight [412] tonight,england [412] england,wide [412] lockdown,discussed [412] discussed,#covid19uk [412] mutation,latest Top Word Pairs in Tweet in G3:
[623] #covid19uk,restrictions [623] many,now [574] latest,#covid19uk [574] restrictions,heartbreaking [574] heartbreaking,many [574] now,much [574] much,food [574] food,whilst [574] whilst,others [574] others,won Top Word Pairs in Tweet in G4:
[408] #covid19uk,#covid19 [404] covid,19 [398] #coronavirus,#indiaglitztelugu [396] new,strain [395] situation,out [395] out,control [395] control,new [395] strain,covid [395] 19,uk [395] uk,government Top Word Pairs in Tweet in G5:
[475] tier,5 [474] breaking,guidance [474] guidance,proposed [474] proposed,new [474] new,tier [474] 5,leaked [474] leaked,government [474] government,source [474] source,#covid19uk [26] u,k Top Word Pairs in Tweet in G6:
[340] tier,4 [300] 2,weeks [300] weeks,ago [300] ago,encouraged [300] encouraged,everyone [300] everyone,go [300] go,shopping [300] shopping,spend [300] spend,money [300] money,regent Top Word Pairs in Tweet in G7:
[271] age,children [227] school,age [213] #covid19uk,infection [211] infection,school [211] more,1 [211] 1,40 [211] 40,secondary [166] https,t [166] t,co [165] result,government Top Word Pairs in Tweet in G8:
[107] flights,uk [96] #covid19uk,variant [80] civil,aviation [78] pcr,test [76] temporary,suspension [76] suspension,flights [76] dec,passengers [75] aviation,minister [75] minister,hardeepspuri [75] wake,new Top Word Pairs in Tweet in G9:
[145] nhs,trusts [132] involved,#covid19uk [130] trusts,now [130] now,fully [130] fully,integrated [130] integrated,dashboard [130] dashboard,viewed [130] viewed,postcode [130] postcode,healthcare [130] healthcare,pages Top Word Pairs in Tweet in G10:
[94] new,strain [90] quick,analysis [90] analysis,tonight's [90] tonight's,news [90] news,one [90] one,major [90] major,threats [90] threats,nhs [90] nhs,lack [90] lack,beds Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: