The graph represents a network of 8,357 Twitter users whose recent tweets were included in a list (Tweet ID List - COVID19uk week 20) of 10016 tweet IDs, or who were replied to or mentioned in those tweets. 9664 out of 10016 tweets were collected. The network was obtained from Twitter on Saturday, 15 August 2020 at 09:30 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 57-minute period from Tuesday, 04 August 2020 at 00:00 UTC to Monday, 10 August 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 : 8357
Unique Edges : 12632
Edges With Duplicates : 3769
Total Edges : 16401
Self-Loops : 2726
Reciprocated Vertex Pair Ratio : 0.0135765450608029
Reciprocated Edge Ratio : 0.026789382858082
Connected Components : 1568
Single-Vertex Connected Components : 918
Maximum Vertices in a Connected Component : 5242
Maximum Edges in a Connected Component : 12210
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.213242
Graph Density : 0.000174263349626553
Modularity : 0.692892
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 8,357 Twitter users whose recent tweets were included in a list (Tweet ID List - COVID19uk week 20) of 10016 tweet IDs, or who were replied to or mentioned in those tweets. 9664 out of 10016 tweets were collected. The network was obtained from Twitter on Saturday, 15 August 2020 at 09:30 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 57-minute period from Tuesday, 04 August 2020 at 00:00 UTC to Monday, 10 August 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 20
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:
[1327] #covid19,#covid19uk [1217] covid,19 [847] coronavirus,covid [839] #corona,#covid19 [668] daily,coronavirus [666] 19,report [666] report,#coronavirus [473] #coronavirus,#uk [420] 60,000 [413] now,60 Top Word Pairs in Tweet in G1:
[140] #covid19,#covid19uk [56] #covid19uk,#covid19 [46] covid,19 [32] #coronavirus,#covid19 [32] #covid19uk,#coronavirus [28] #coronavirus,#covid19uk [26] #coronavirusuk,#coronavirus [26] #coronavirusuk,#covid19uk [22] #covid__19,#covid19uk [20] social,distancing Top Word Pairs in Tweet in G2:
[366] pm,took [366] took,over [366] over,4 [366] 4,weeks [366] weeks,post [366] post,feb [366] feb,march [366] march,despite [366] despite,clear [366] clear,warnings Top Word Pairs in Tweet in G3:
[104] #covid19,#coronavirus [102] online,see [102] see,huge [102] huge,awakening [102] awakening,encouraging [102] encouraging,real [102] real,life [102] life,sadly [102] sadly,much [102] much,think Top Word Pairs in Tweet in G4:
[144] #covid19uk,#kbf [78] #kbf,#covidhoax [76] covid,19 [68] scientific,proof [68] proof,new [68] new,virus [68] virus,exists [68] exists,legislation [68] legislation,refers [68] refers,covid Top Word Pairs in Tweet in G5:
[138] bme,communities [119] black,ethnic [85] #zerocovid,strategy [85] test,trace [84] risk,schools [84] schools,remaining [84] remaining,closed [84] closed,high [84] high,#covid19uk [84] #covid19uk,local Top Word Pairs in Tweet in G6:
[91] disabled,people [78] #covid19uk,#facemasks [78] #facemasks,#ppecorruption [78] #ppecorruption,heights [78] heights,incompetence [78] incompetence,disregard [78] disregard,public [78] public,funds [78] funds,50m [78] 50m,ffp Top Word Pairs in Tweet in G7:
[182] find,totally [182] totally,ridiculous [182] ridiculous,now [182] now,millions [182] millions,out [182] out,work [182] work,govt [182] govt,forcing [182] forcing,#50swomen [182] #50swomen,fight Top Word Pairs in Tweet in G8:
[709] #covid19,#covid19uk [706] #corona,#covid19 [703] covid,19 [702] coronavirus,covid [571] daily,coronavirus [571] 19,report [571] report,#coronavirus [357] #coronavirus,#uk [357] #uk,#corona [355] united,kingdom Top Word Pairs in Tweet in G9:
[215] man,leaves [215] leaves,wife [215] wife,undergoing [215] undergoing,cancer [215] cancer,treatment [215] treatment,lectures [215] lectures,morally [215] morally,indefensible [215] indefensible,#covid19uk [15] coronica',social Top Word Pairs in Tweet in G10:
[29] #covid19,#covid19uk [22] #coronavirusuk,#covid19uk [20] wear,face [19] covid,19 [14] face,masks [14] protect,#nhs [14] #nhs,save [14] save,lives [14] lives,treat [14] treat,workers 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 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: