The graph represents a network of 13,967 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 33) of 16829 tweet IDs, or who were replied to or mentioned in those tweets. 16188 out of 16829 tweets were collected. The network was obtained from Twitter on Thursday, 12 November 2020 at 07:53 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 51-minute period from Tuesday, 03 November 2020 at 00:04 UTC to Monday, 09 November 2020 at 23:56 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 : 13967
Unique Edges : 19182
Edges With Duplicates : 6979
Total Edges : 26161
Self-Loops : 5753
Reciprocated Vertex Pair Ratio : 0.0149707468165653
Reciprocated Edge Ratio : 0.0294998587171517
Connected Components : 3329
Single-Vertex Connected Components : 2244
Maximum Vertices in a Connected Component : 7614
Maximum Edges in a Connected Component : 17461
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.943996
Graph Density : 9.07142253162543E-05
Modularity : 0.663515
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 13,967 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 33) of 16829 tweet IDs, or who were replied to or mentioned in those tweets. 16188 out of 16829 tweets were collected. The network was obtained from Twitter on Thursday, 12 November 2020 at 07:53 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 51-minute period from Tuesday, 03 November 2020 at 00:04 UTC to Monday, 09 November 2020 at 23:56 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 33
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:
[1198] #covid19,#covid19uk [962] covid,19 [840] #covid19uk,#covid19 [385] job,losses [376] thousands,more [375] separated,families [374] s,pathetic [374] pathetic,#covid19uk [373] defeated,boris [373] boris,sleeps Top Word Pairs in Tweet in G1:
[239] #covid19,#covid19uk [105] #covid19uk,#covid19 [80] covid,19 [67] #lockdown2,#covid19uk [55] #covid19uk,#lockdown2uk [54] #covid19uk,#lockdown2 [54] #covid19uk,#coronavirus [50] #lockdown2uk,#covid19uk [45] don,t [44] stay,safe Top Word Pairs in Tweet in G2:
[154] #covid19,#covid19uk [132] #covid19uk,#covid19 [132] #over60sclinicallyvulnerable,#covid19uk [96] jeremy,hunt [96] hunt,announces [96] announces,hoc [96] hoc,health [96] health,science [96] science,select [96] select,committees Top Word Pairs in Tweet in G3:
[190] 7,days [143] specimen,date [126] nations,england [119] #covid19uk,positives [117] new,#covid19uk [113] positives,today [113] nov,shown [113] shown,here [113] here,specimen [113] date,against Top Word Pairs in Tweet in G4:
[336] defeated,boris [336] boris,sleeps [336] sleeps,whilst [336] whilst,hancock [336] hancock,tries [336] tries,justify [336] justify,millions [336] millions,job [336] job,losses [336] losses,collapse Top Word Pairs in Tweet in G5:
[56] #covid19,#covid19uk [45] #datascience,#data [38] #covid,#covid19uk [32] #covid19uk,#coronavirusuk [32] #covid19,#diagnosis [32] #diagnosis,#ai [32] #ai,uses [32] uses,#cough [32] #cough,recordings [32] recordings,ieeeorg Top Word Pairs in Tweet in G6:
[91] covid,19 [86] private,companies [75] billions,handed [75] handed,private [75] companies,fail [75] fail,staff [75] staff,nhs [75] nhs,pay [75] pay,nurses [75] nurses,living Top Word Pairs in Tweet in G7:
[172] current,dismal [172] dismal,four [172] four,week [172] week,lockdown [172] lockdown,month [172] month,late [172] late,pointless [172] pointless,unless [172] unless,government [172] government,fires Top Word Pairs in Tweet in G8:
[163] ways,covid19 [163] covid19,different [163] different,flu [163] flu,make [163] make,unemployed [163] unemployed,destroy [163] destroy,business [163] business,remove [163] remove,civil [163] civil,liberties Top Word Pairs in Tweet in G9:
[226] #covid19uk,#covid19 [225] covid,19 [224] meanwhile,uk [224] uk,government [224] government,awarded [224] awarded,new [224] new,347m [224] 347m,covid [224] 19,testing [224] testing,contract Top Word Pairs in Tweet in G10:
[52] uk,gov [27] #covid19,#covid19uk [11] guardian,thetimes [10] excess,deaths [9] yourmrbumbles,ianlex2 [9] ianlex2,sardariclare [9] sardariclare,russelldunkeld [9] russelldunkeld,public_eye_xva [9] public_eye_xva,jadetaylor8 [9] jadetaylor8,drbobgill Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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 G3:
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: