The graph represents a network of 50,737 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - 20-23 March inclusive) of 65808 tweet IDs, or who were replied to or mentioned in those tweets. 60083 out of 65808 tweets were collected. The network was obtained from Twitter on Wednesday, 30 September 2020 at 13:16 UTC.
The tweets in the network were tweeted over the 3-day, 8-hour, 21-minute period from Friday, 20 March 2020 at 15:38 UTC to Monday, 23 March 2020 at 23:59 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 : 50737
Unique Edges : 80117
Edges With Duplicates : 17053
Total Edges : 97170
Self-Loops : 14680
Reciprocated Vertex Pair Ratio : 0.0078454641350211
Reciprocated Edge Ratio : 0.0155687839340616
Connected Components : 7966
Single-Vertex Connected Components : 5155
Maximum Vertices in a Connected Component : 35585
Maximum Edges in a Connected Component : 79233
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.598706
Graph Density : 2.96928073635173E-05
Modularity : 0.717472
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 50,737 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - 20-23 March inclusive) of 65808 tweet IDs, or who were replied to or mentioned in those tweets. 60083 out of 65808 tweets were collected. The network was obtained from Twitter on Wednesday, 30 September 2020 at 13:16 UTC.
The tweets in the network were tweeted over the 3-day, 8-hour, 21-minute period from Friday, 20 March 2020 at 15:38 UTC to Monday, 23 March 2020 at 23:59 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 - 20-23 March inclusive
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:
[3158] #covid19,#covid19uk [3049] #covid19uk,#coronavirus [2481] #coronavirusuk,#covid19uk [2424] covid,19 [2337] #coronavirus,#covid19uk [2284] #covid_19,#covid19uk [2074] stay,home [1757] #coronavirus,#covid_19 [1701] love,see [1675] people,edinburgh Top Word Pairs in Tweet in G1:
[389] #covid19,#covid19uk [284] #covidー19,#covid19uk [231] #covid_19,#covid19uk [214] #coronavirus,#covid19uk [207] social,distancing [194] stay,home [191] #covid19uk,#coronavirus [185] #coronavirusuk,#covid19uk [165] don,t [165] #covid19uk,#covid19 Top Word Pairs in Tweet in G2:
[1071] herd,immunity [811] #coronavirusuk,#covid19uk [749] hasn,t [744] #bbc,#coronavirusuk [743] laura,kuenssberg [743] kuenssberg,situation [743] situation,escalated [743] escalated,more [743] more,quickly [743] quickly,predicted Top Word Pairs in Tweet in G3:
[563] live,q [526] national,clinical [526] clinical,director [442] question,#covid19uk [441] youtube,live [439] #covid19uk,ask [408] first,minister [408] young,person [407] scotgovfm,national [407] director,jasonleitch Top Word Pairs in Tweet in G4:
[247] older,people [207] listen,live [197] right,now [185] stay,home [175] live,juliahb1 [171] #covid19,#covid19uk [157] help,older [150] self,employed [130] #coronacrisisuk,#covid19uk [127] #covid19uk,#mondaythoughts Top Word Pairs in Tweet in G5:
[1512] #coronavirus,#covid_19 [1511] people,edinburgh [1511] edinburgh,singing [1511] singing,sunshine [1511] sunshine,leith [1511] leith,flats [1511] flats,everyone [1511] everyone,joining [1511] joining,things [1511] things,love Top Word Pairs in Tweet in G6:
[1204] selling,toilet [761] #covid19uk,#coronavirus [628] toilet,roll [602] dj,lee [602] lee,marshall [602] marshall,dj [602] dj,known [602] known,disco [602] disco,boy [602] boy,made Top Word Pairs in Tweet in G7:
[548] panic,buying [527] advice,colleagues [527] colleagues,nswpolice [527] nswpolice,full [527] list,items [527] items,people [527] people,panic [526] #covid19uk,endorse [526] endorse,advice [526] full,list Top Word Pairs in Tweet in G8:
[473] #coronavirusuk,#covid19uk [388] gt,#coronavirusuk [326] #covid19uk,#covid_19uk [287] take,action [268] now,gt [256] action,now [251] freelancers,musicians [218] announcement,chancellor [217] government,provide [217] support,freelancers Top Word Pairs in Tweet in G9:
[226] #covid19,#covid19uk [162] #covid19uk,#covid [151] #coronavirus,#covid19uk [136] #covid_19,#covid19uk [125] peterjukes,borisjohnson [125] borisjohnson,schofe [125] schofe,hollywills [125] hollywills,mvdct [125] mvdct,cereinynord [125] cereinynord,afneil Top Word Pairs in Tweet in G10:
[244] here,#covid19uk [151] read,more [98] work,home [94] more,here [92] guidance,here [88] #teachersareheroes,#covid19uk [70] due,#coronavirus [68] more,#covid19uk [66] free,school [66] school,meals Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G9:
Top Tweeters in G10: