The graph represents a network of 21,996 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 43) of 26661 tweet IDs, or who were replied to or mentioned in those tweets. 25587 out of 26661 tweets were collected. The network was obtained from Twitter on Thursday, 21 January 2021 at 08:15 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 48-minute period from Tuesday, 12 January 2021 at 00:10 UTC to Monday, 18 January 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 : 21996
Unique Edges : 32031
Edges With Duplicates : 7309
Total Edges : 39340
Self-Loops : 5897
Reciprocated Vertex Pair Ratio : 0.0066006600660066
Reciprocated Edge Ratio : 0.0131147540983607
Connected Components : 3118
Single-Vertex Connected Components : 2140
Maximum Vertices in a Connected Component : 16256
Maximum Edges in a Connected Component : 31713
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.58439
Graph Density : 6.36727395226667E-05
Modularity : 0.716442
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 21,996 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 43) of 26661 tweet IDs, or who were replied to or mentioned in those tweets. 25587 out of 26661 tweets were collected. The network was obtained from Twitter on Thursday, 21 January 2021 at 08:15 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 48-minute period from Tuesday, 12 January 2021 at 00:10 UTC to Monday, 18 January 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 - week 43
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:
[6124] covid,19 [5563] #covid19uk,#coviduk [5408] death,toll [5360] live,aid [5360] aid,1985 [5360] 80,500 [5358] over,80 [5353] people,day [5351] very,sobering [5349] 500,people Top Word Pairs in Tweet in G1:
[5038] #covid19uk,#coviduk [5020] covid,19 [5018] picture,live [5018] live,aid [5018] aid,1985 [5018] 1985,over [5018] over,80 [5018] 80,500 [5018] 500,people [5018] people,day Top Word Pairs in Tweet in G2:
[515] #covid19,#covid19uk [226] worth,reading [225] patients,over [224] dipped,toe [224] toe,sensitive [224] sensitive,issue [224] issue,care [224] care,rationing [224] rationing,many [224] many,doctors Top Word Pairs in Tweet in G3:
[304] #covid19,#covid19uk [183] #covid19uk,#covid19 [117] covid,19 [97] #covid19uk,#coronavirus [70] #coronavirus,#covid19uk [52] premium,masks [52] masks,stops [52] stops,steaming [52] steaming,eyes [52] glasses,#tier5 Top Word Pairs in Tweet in G4:
[1112] fighter,jet [1013] eurovision,typhoon [961] typhoon,fighter [961] essential,journey [919] a40,whitechapel [913] breaking,confirm [913] confirm,loud [913] loud,noise [913] noise,heard [913] heard,over Top Word Pairs in Tweet in G5:
[859] lockdown,crackdown [859] crackdown,gone [859] gone,far [859] far,jogger [859] jogger,stopped [859] stopped,covid [859] covid,marshal [859] marshal,'breathing [859] 'breathing,heavily' [859] heavily',run Top Word Pairs in Tweet in G6:
[564] covid,patients [556] #thunderclapforcarers,#nhspay15 [556] #nhspay15,#covid19uk [552] know,feels [552] feels,afraid [552] afraid,cuddle [552] cuddle,children [552] children,spent [552] spent,day [552] day,nursing Top Word Pairs in Tweet in G7:
[60] supermarket,profits [60] profits,soaring [60] soaring,sainsburys [60] sainsburys,even [60] even,spare [60] spare,few [60] few,pounds [60] pounds,help [60] help,pay [60] pay,funerals Top Word Pairs in Tweet in G8:
[174] #covid19,#covid19uk [174] #covid19uk,#vaccinationcovid [168] ma,conscience [168] conscience,et [168] et,ma [168] ma,science [168] science,plus [168] plus,belle [168] belle,phrase [168] phrase,j'ai Top Word Pairs in Tweet in G9:
[106] #covid19uk,#coronavirusuk [106] #coronavirusuk,#dailycovidupdate [54] throughout,uk [45] #covid19uk,vaccination [44] gps,senior [44] senior,consultants [42] vaccination,programme [39] deaths,reported [39] 16th,january [38] cahn,hosting Top Word Pairs in Tweet in G10:
[322] ont,été [186] 1,564 [161] alerte,info [161] info,1 [161] 564,décès [161] décès,liés [161] liés,à [161] à,#covid19 [161] #covid19,ont [161] été,enregistrés Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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 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 Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: