The graph represents a network of 3,737 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 52) of 4805 tweet IDs, or who were replied to or mentioned in those tweets. 4502 out of 4805 tweets were collected. The network was obtained from Twitter on Saturday, 27 March 2021 at 19:23 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 45-minute period from Tuesday, 16 March 2021 at 00:05 UTC to Monday, 22 March 2021 at 23:51 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 : 3737
Unique Edges : 5136
Edges With Duplicates : 2437
Total Edges : 7573
Self-Loops : 1844
Reciprocated Vertex Pair Ratio : 0.0135467980295567
Reciprocated Edge Ratio : 0.0267314702308627
Connected Components : 880
Single-Vertex Connected Components : 533
Maximum Vertices in a Connected Component : 1870
Maximum Edges in a Connected Component : 4706
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.229248
Graph Density : 0.000353688647410953
Modularity : 0.628882
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 3,737 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 52) of 4805 tweet IDs, or who were replied to or mentioned in those tweets. 4502 out of 4805 tweets were collected. The network was obtained from Twitter on Saturday, 27 March 2021 at 19:23 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 45-minute period from Tuesday, 16 March 2021 at 00:05 UTC to Monday, 22 March 2021 at 23:51 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 52
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:
[628] #covid19,#covid19uk [324] during,#covid19uk [312] high,court [305] #covid19uk,borisjohnson [302] borisjohnson,matthancock [302] preventable,deaths [299] people,believe [299] breaking,law [298] propaganda,working [298] working,people Top Word Pairs in Tweet in G1:
[108] #covid19,#covid19uk [58] #coronavirus,#covid19 [57] covid,19 [31] #covid19uk,#coronavirusuk [29] coronavirus,covid [29] 2021,more [29] more,insights [29] insights,#coronavirus [29] #covid2020,#covid19pandemic [29] #covid19pandemic,#coronaupdate Top Word Pairs in Tweet in G2:
[304] high,court [294] preventable,deaths [293] during,#covid19uk [293] borisjohnson,matthancock [290] propaganda,working [290] working,people [290] people,believe [290] believe,conservatives [290] conservatives,best [290] best,during Top Word Pairs in Tweet in G3:
[155] #vaccine,#covid19uk [145] vaccine,supply [145] supply,issues [145] issues,known [145] known,no10 [145] no10,48 [145] 48,hours [145] hours,tonight [145] tonight,warning [145] warning,email Top Word Pairs in Tweet in G4:
[111] family,friend [111] friend,20 [111] 20,years [111] years,old [111] old,#covidvaccine [111] #covidvaccine,fri [111] fri,within [111] within,24 [111] 24,hours [111] hours,chills Top Word Pairs in Tweet in G5:
[5] #covid19,#covid19uk [4] andrewp94729485,tracyaustin_ [4] acsavage,s9tmt [4] s9tmt,jreynoldsmp [4] jreynoldsmp,sophiamorrell [4] laserhaas01,cityvoiced [4] cityvoiced,belwalsh1 [4] belwalsh1,localjournalism [4] localjournalism,pb4p [4] pb4p,louiseakennedy Top Word Pairs in Tweet in G6:
[88] next,monday [88] monday,fined [88] fined,5000 [88] 5000,take [88] take,holiday [88] holiday,abroad [88] abroad,sink [88] sink,#covid19uk [7] world,wide [7] wide,rally Top Word Pairs in Tweet in G7:
[186] royaume,uni [93] 1,8 [93] 8,décembre [93] décembre,2020 [93] 2020,début [93] début,#vaccination [93] #vaccination,au [93] au,royaume [93] uni,par [93] par,suite Top Word Pairs in Tweet in G8:
[111] new,#covid19uk [111] reported,today [104] rolling,average [88] positive,tests [84] days,ago [83] date,death [82] #covid19,#covid19uk [79] coronavirus,covid [79] covid,19 [79] 19,weekly Top Word Pairs in Tweet in G9:
[13] government,immune [13] immune,scrutiny [13] scrutiny,#150k [13] #150k,#covid19uk [8] jeremy_hunt,sc_healthsocial [8] doctor_oxford,socialist1959 [8] socialist1959,annual [8] annual,appraisals [8] appraisals,everything [8] everything,happened Top Word Pairs in Tweet in G10:
[4] first,#covid19uk [4] #covid19,#covid19uk [4] even,more [4] anyone,flown [4] flown,lufthansa [4] lufthansa,received [4] received,poor [4] poor,customer [4] customer,service [4] service,refund Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
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 G5:
Top Mentioned in G6:
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: