The graph represents a network of 17,485 Twitter users whose recent tweets contained "#covid19UK", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 04 April 2020 at 15:12 UTC.
The tweets in the network were tweeted over the 1-day, 18-hour, 7-minute period from Thursday, 02 April 2020 at 20:17 UTC to Saturday, 04 April 2020 at 14:24 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 : 17485
Unique Edges : 25073
Edges With Duplicates : 4698
Total Edges : 29771
Self-Loops : 4606
Reciprocated Vertex Pair Ratio : 0.00643114388612588
Reciprocated Edge Ratio : 0.0127800971287382
Connected Components : 3150
Single-Vertex Connected Components : 1804
Maximum Vertices in a Connected Component : 10641
Maximum Edges in a Connected Component : 21861
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.904028
Graph Density : 7.67857562258646E-05
Modularity : 0.771848
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 17,485 Twitter users whose recent tweets contained "#covid19UK", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 04 April 2020 at 15:12 UTC.
The tweets in the network were tweeted over the 1-day, 18-hour, 7-minute period from Thursday, 02 April 2020 at 20:17 UTC to Saturday, 04 April 2020 at 14:24 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 : TwitterSearch
Graph Term : #covid19UK
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:
[1310] #coronavirusuk,#covid19uk [898] #coronavirus,#lockdown [893] isolation,going [892] #lockdown,#coronavirusuk [890] going,nuts [890] nuts,threw [890] threw,dinner [890] dinner,party [890] party,kids [890] kids,#coronavirus Top Word Pairs in Tweet in G1:
[125] #covid19,#covid19uk [89] #coronavirus,#covid19uk [88] #covid19pandemic,#covid19uk [80] #coronavirusuk,#covid19uk [77] stay,home [70] covid,19 [67] #covid19uk,#coronavirus [65] #covid19uk,#covid19 [48] #covid19uk,#stayhomesavelives [43] #covid19uk,#covid19pandemic Top Word Pairs in Tweet in G2:
[178] #covid19,#covid19uk [144] listen,live [143] matt,hancock [121] live,juliahb1 [120] health,secretary [108] secretary,matt [107] juliahb1,matthancock [99] #covid19pandemic,#covid19uk [97] matthancock,#covid19uk [81] #covid19uk,#covidー19 Top Word Pairs in Tweet in G3:
[888] isolation,going [888] going,nuts [888] nuts,threw [888] threw,dinner [888] dinner,party [888] party,kids [888] kids,#coronavirus [888] #coronavirus,#lockdown [888] #lockdown,#coronavirusuk [888] #coronavirusuk,#covid19uk Top Word Pairs in Tweet in G4:
[347] #wedemandppenow,#wedemandppenow [195] save,lives [116] psst,pass [116] pass,type [116] type,#wedemandppenow [116] #wedemandppenow,doctors [116] doctors,#wedemandppenow [116] #wedemandppenow,nurses [116] nurses,#wedemandppenow [116] #wedemandppenow,carers Top Word Pairs in Tweet in G5:
[342] disabled,people [162] leading,disabled [154] #coronavirus,#covid19uk [128] #coronavirus,crisis [118] during,#coronavirus [114] government,face [114] face,legal [114] legal,action [114] action,reconsider [114] reconsider,strategy Top Word Pairs in Tweet in G6:
[417] brother,secondary [417] secondary,school [417] school,teacher [417] teacher,head [417] head,dt [417] dt,spent [417] spent,day [417] day,3d [417] 3d,printing [417] printing,visors Top Word Pairs in Tweet in G7:
[180] positivity,rate [120] dhscgovuk,cmo_england [105] new,cases [103] #coronavirusuk,#covid19uk [102] spreadsheet,#coronavirusuk [95] newly,confirmed [92] total,cases [90] daily,positivity [90] overall,positivity [89] new,tests Top Word Pairs in Tweet in G8:
[139] covid,19 [116] areema,nasreen [115] last,tweet [115] tweet,areema [115] nasreen,#nhs [115] #nhs,nurse [115] nurse,lost [115] lost,covid [115] 19,celebrating [115] celebrating,17 Top Word Pairs in Tweet in G9:
[202] #covid19uk,rules [202] rules,apply [202] apply,religion [202] religion,peace [64] proof,#coronavirus [64] #coronavirus,spread [64] spread,shopping [64] shopping,going [64] going,hairdresser [64] hairdresser,even Top Word Pairs in Tweet in G10:
[88] ambulance,service [65] showing,appreciation [64] firefighters,#london [64] #london,showing [64] appreciation,brilliant [64] brilliant,front [64] front,line [64] line,workers [64] workers,nhs [64] nhs,london Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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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: