The graph represents a network of 17,391 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, 28 March 2020 at 12:41 UTC.
The tweets in the network were tweeted over the 23-hour, 52-minute period from Friday, 27 March 2020 at 12:05 UTC to Saturday, 28 March 2020 at 11:58 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 : 17391
Unique Edges : 20835
Edges With Duplicates : 3316
Total Edges : 24151
Self-Loops : 3875
Reciprocated Vertex Pair Ratio : 0.00287596737084292
Reciprocated Edge Ratio : 0.00573543980395224
Connected Components : 2814
Single-Vertex Connected Components : 1614
Maximum Vertices in a Connected Component : 11273
Maximum Edges in a Connected Component : 17247
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.764736
Graph Density : 6.34164346869745E-05
Modularity : 0.785351
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 17,391 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, 28 March 2020 at 12:41 UTC.
The tweets in the network were tweeted over the 23-hour, 52-minute period from Friday, 27 March 2020 at 12:05 UTC to Saturday, 28 March 2020 at 11:58 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 : 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:
[2335] 14,days [1133] tested,positive [1035] #covid19,#covid19uk [1022] mild,symptoms [996] nhs,staff [936] positive,#coronavirus [887] being,tested [869] even,though [867] boris,being [867] women,s Top Word Pairs in Tweet in G1:
[172] #covid19,#covid19uk [78] boris,johnson [74] covid,19 [73] #coronavirus,#covid19uk [62] #covid2019,#covid19uk [58] #covid19uk,#coronavirus [56] #coronalockdown,#covid19uk [53] #covid19uk,#coronavirusuk [53] #coronavirusuk,#covid19uk [52] #covid19uk,#covid19 Top Word Pairs in Tweet in G2:
[119] #covid19,#covid19uk [87] positivity,rate [87] #coronavirus,#covid19uk [86] #coronavirusuk,#covid19uk [75] mild,symptoms [74] borisjohnson,matthancock [67] #covid19uk,#covid19 [62] dhscgovuk,cmo_england [62] cmo_england,cmowales [62] cmowales,cathcalderwood1 Top Word Pairs in Tweet in G3:
[809] nazifa,zaman [809] zaman,chair [809] chair,university [809] university,warwick [809] warwick,labour [809] labour,society [809] society,celebrated [809] celebrated,boris [809] boris,being [809] being,tested Top Word Pairs in Tweet in G4:
[629] dominic,cummings [629] cummings,having [629] having,second [629] second,thoughts [629] thoughts,herd [629] herd,immunity [629] immunity,idea [629] idea,#covid19uk [296] confirmation,dog [296] dog,eat Top Word Pairs in Tweet in G5:
[687] 14,days [685] #nhs,consultant [685] consultant,contacts [685] contacts,prevented [685] prevented,going [685] going,work [685] work,14 [685] days,wife [685] wife,mild [685] mild,symptoms Top Word Pairs in Tweet in G6:
[1416] 14,days [706] need,testing [706] testing,nhs [706] nhs,staff [705] boyfriend,paramedic [705] paramedic,s [705] s,told [705] told,self [705] self,isolate [705] isolate,14 Top Word Pairs in Tweet in G7:
[183] johnson,hancock [183] hancock,diagnosed [183] diagnosed,now [183] now,cmo [183] cmo,displaying [183] displaying,symptoms [183] symptoms,sunak [183] sunak,saying [183] saying,symptoms [183] symptoms,isolating Top Word Pairs in Tweet in G8:
[315] daily,exercise [315] exercise,include [315] include,travelling [315] travelling,different [315] different,area [270] lake,district [265] #stayhomesavelives,#covid19uk [244] #covid19uk,#stayhomesavelives [207] reminding,public [207] public,travel Top Word Pairs in Tweet in G9:
[216] juliahb1,#covid19uk [202] self,isolation [197] julia,signs [197] signs,self [197] isolation,heartfelt [197] heartfelt,message [197] message,never [197] never,felt [197] felt,more [197] more,love Top Word Pairs in Tweet in G10:
[76] medical,couriers [76] doctors,laboratory [76] laboratory,being [75] couriers,transporting [75] transporting,#covid19 [75] #covid19,samples [75] samples,doctors [75] being,failed [75] failed,company [75] company,support Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: