The graph represents a network of 13,500 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - 2 April) of 15540 tweet IDs, or who were replied to or mentioned in those tweets. 14074 out of 15540 tweets were collected. The network was obtained from Twitter on Monday, 05 October 2020 at 17:14 UTC.
The tweets in the network were tweeted over the 23-hour, 55-minute period from Thursday, 02 April 2020 at 00:01 UTC to Thursday, 02 April 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 : 13500
Unique Edges : 21110
Edges With Duplicates : 3048
Total Edges : 24158
Self-Loops : 3180
Reciprocated Vertex Pair Ratio : 0.0121492476616511
Reciprocated Edge Ratio : 0.0240068303952589
Connected Components : 2241
Single-Vertex Connected Components : 1262
Maximum Vertices in a Connected Component : 8375
Maximum Edges in a Connected Component : 17320
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.571947
Graph Density : 0.000109259122074886
Modularity : 0.782351
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 13,500 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - 2 April) of 15540 tweet IDs, or who were replied to or mentioned in those tweets. 14074 out of 15540 tweets were collected. The network was obtained from Twitter on Monday, 05 October 2020 at 17:14 UTC.
The tweets in the network were tweeted over the 23-hour, 55-minute period from Thursday, 02 April 2020 at 00:01 UTC to Thursday, 02 April 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 - 2 April
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:
[859] nhs,staff [727] #covid19,#covid19uk [697] covid,19 [683] visors,nhs [639] 3d,printing [638] staff,others [637] #covid19uk,#inittogether [636] brother,secondary [636] secondary,school [636] school,teacher Top Word Pairs in Tweet in G1:
[183] #coronavirus,#covid19uk [129] #covid19pandemic,#covid19 [127] #covid19,#coronavirus [127] #flattenthecurve,#coronaoutbreak [126] #covid19uk,#flattenthecurve [125] #coronaoutbreak,#coronavirusuk [125] #coronavirusuk,#coronaviruslockdownuk [121] #coronaviruslockdownuk,#coronaviruslockdow [120] #coronaviruslockdow,#coronavirususa [119] #covid19,#covid19uk Top Word Pairs in Tweet in G2:
[72] #covid19,#covid19uk [72] #covidー19,#covid19uk [58] #coronavirus,#covid19uk [46] #covid19uk,#coronavirus [40] #coronavirusuk,#covid19uk [38] covid,19 [37] #covid19pandemic,#covid19uk [30] #covid19uk,#covidー19 [29] #covid19uk,#coronavirusuk [27] #covid19uk,#covid19 Top Word Pairs in Tweet in G3:
[524] due,interviewed [524] interviewed,#covid19uk [524] #covid19uk,testing [524] testing,scandal [524] scandal,chemical [524] chemical,industry [524] industry,bbcnewsnight [524] bbcnewsnight,chose [524] chose,use [524] use,pre Top Word Pairs in Tweet in G4:
[542] one,shows [370] chris,whitty [370] man,trying [370] trying,save [271] thick,journalists [271] journalists,#peston [271] #peston,seem [271] seem,know [271] know,difference [271] difference,between Top Word Pairs in Tweet in G5:
[125] listen,live [108] #stayhomesavelives,#covid19uk [88] public,health [79] coronavirus,testing [75] live,juliahb1 [59] health,england [57] covid,19 [57] tonight,8pm [54] prof,paul [54] paul,cosford Top Word Pairs in Tweet in G6:
[576] nhs,staff [575] brother,secondary [575] secondary,school [575] school,teacher [575] teacher,head [575] head,dt [575] dt,spent [575] spent,day [575] day,3d [575] 3d,printing Top Word Pairs in Tweet in G7:
[105] #covid19,#covid19uk [104] tonight,won [104] won,t [104] t,clapping [104] clapping,carers [104] carers,chanting [104] chanting,#ppenow [104] #ppenow,carers [104] carers,need [104] need,more Top Word Pairs in Tweet in G8:
[298] #stophs2,#rethinkhs2 [248] #rethinkhs2,#covid19uk [243] nesting,season [242] #hs2,ltd [240] #notanaprilfool,#hs2 [240] ltd,getting [240] getting,ready [240] ready,carry [240] carry,essential [240] essential,work Top Word Pairs in Tweet in G9:
[124] ambulance,service [109] showing,appreciation [89] response,#covid19uk [87] new,partnership [87] partnership,ldn_ambulance [87] ldn_ambulance,boost [87] boost,emergency [87] emergency,response [75] firefighters,#london [75] #london,showing Top Word Pairs in Tweet in G10:
[244] covid,19 [240] sadly,reality [240] reality,frontline [240] frontline,chest [240] chest,drain [240] drain,insertion [240] insertion,traumatic [240] traumatic,pneumothorax [240] pneumothorax,signs [240] signs,possible 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:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: