The graph represents a network of 25,695 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - February 2021) of 41597 tweet IDs, or who were replied to or mentioned in those tweets. 37588 out of 41597 tweets were collected. The network was obtained from Twitter on Saturday, 20 March 2021 at 00:21 UTC.
The tweets in the network were tweeted over the 27-day, 23-hour, 57-minute period from Monday, 01 February 2021 at 00:00 UTC to Sunday, 28 February 2021 at 23:58 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 : 25695
Unique Edges : 39480
Edges With Duplicates : 18883
Total Edges : 58363
Self-Loops : 14081
Reciprocated Vertex Pair Ratio : 0.0132587078193773
Reciprocated Edge Ratio : 0.0261704295597147
Connected Components : 5742
Single-Vertex Connected Components : 4303
Maximum Vertices in a Connected Component : 16409
Maximum Edges in a Connected Component : 46043
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.195946
Graph Density : 5.64883155720189E-05
Modularity : 0.592087
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 25,695 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - February 2021) of 41597 tweet IDs, or who were replied to or mentioned in those tweets. 37588 out of 41597 tweets were collected. The network was obtained from Twitter on Saturday, 20 March 2021 at 00:21 UTC.
The tweets in the network were tweeted over the 27-day, 23-hour, 57-minute period from Monday, 01 February 2021 at 00:00 UTC to Sunday, 28 February 2021 at 23:58 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 - February 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:
[3714] #covid19,#covid19uk [2543] covid,19 [1171] #covid19uk,#coronavirusuk [1111] long,term [1069] unleashed,state [1069] state,corruption [1069] corruption,grand [1069] grand,scale [1068] journal,argued [1068] scale,politicians Top Word Pairs in Tweet in G1:
[480] #covid19,#covid19uk [242] #covid19uk,#covid19 [214] covid,19 [122] #covid19uk,#lockdown [114] don,t [109] #lockdown,#covid19uk [84] #covid19uk,#covidvaccine [81] #covid19uk,#covid [79] #covid,#covid19uk [75] #covid19uk,#vaccine Top Word Pairs in Tweet in G2:
[412] #coronavirusuk,#covid19uk [379] #covid19,#covid19uk [321] #covid19uk,#covid19 [248] exercise,cygnus [211] don,t [176] covid,19 [159] #covid19uk,#torycovidcatastrophe [151] #covid_19,#covid19uk [144] #covid19,#coviduk [131] borisjohnson,matthancock Top Word Pairs in Tweet in G3:
[409] covid,19 [403] raw,data [402] interesting,implications [402] implications,accuracy [402] accuracy,official [402] official,#covid19uk [402] #covid19uk,'case' [402] 'case',data [402] data,claim [402] claim,critical Top Word Pairs in Tweet in G4:
[780] long,term [586] covid,patients [558] one,10 [558] 10,covid [558] patients,within [558] within,months [558] months,leaving [558] leaving,hospital [558] hospital,sage [558] sage,papers Top Word Pairs in Tweet in G5:
[908] bmj,journal [908] journal,argued [908] argued,#covid19uk [908] #covid19uk,unleashed [908] unleashed,state [908] state,corruption [908] corruption,grand [908] grand,scale [908] scale,politicians [908] politicians,industry Top Word Pairs in Tweet in G6:
[126] long,covid [102] inquiry,government [102] government,handling [102] handling,#covid19uk [102] #covid19uk,overhaul [102] overhaul,#nhs [102] #nhs,yes [102] yes,see [81] #covid19,#covid19uk [73] boris,johnson Top Word Pairs in Tweet in G7:
[271] bbcbreaking,skynews [270] #newvariant,#covid19uk [270] channel4news,itn [270] itn,bbcbreaking [269] tv,report [269] report,#newvariant [269] #covid19uk,always [269] always,include [269] include,question [269] question,worried Top Word Pairs in Tweet in G8:
[1199] #covid19,#covid19uk [756] covid,19 [621] coronavirus,covid [432] #coronavirus,#covid19 [398] positive,test [365] #corona,#covid19 [340] 19,weekly [340] weekly,overview [340] date,reported [340] reported,#coronavirus Top Word Pairs in Tweet in G9:
[70] people,learning [69] learning,disabilities [62] jolyonmaugham,goodlawproject [61] #covid19,#covid19uk [61] #corruption,#covid19uk [60] question,dodgy [60] dodgy,contracts [60] contracts,taken [60] taken,ukhouseoflords [60] ukhouseoflords,monday Top Word Pairs in Tweet in G10:
[438] #covid19uk,#coronavirusuk [392] #coronavirusuk,#dailycovidupdate [173] throughout,uk [111] fewer,people [99] cases,down [99] deaths,down [85] new,cases [84] first,dose [78] 000,new [77] people,hospital 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:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: