The graph represents a network of 24,151 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - 26 March) of 26827 tweet IDs, or who were replied to or mentioned in those tweets. 24222 out of 26827 tweets were collected. The network was obtained from Twitter on Friday, 02 October 2020 at 11:28 UTC.
The tweets in the network were tweeted over the 23-hour, 57-minute period from Thursday, 26 March 2020 at 01:01 UTC to Friday, 27 March 2020 at 00:59 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 : 24151
Unique Edges : 29953
Edges With Duplicates : 3400
Total Edges : 33353
Self-Loops : 4293
Reciprocated Vertex Pair Ratio : 0.00871546361926805
Reciprocated Edge Ratio : 0.0172803212275481
Connected Components : 3236
Single-Vertex Connected Components : 1910
Maximum Vertices in a Connected Component : 17309
Maximum Edges in a Connected Component : 24881
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.276704
Graph Density : 4.78236780271263E-05
Modularity : 0.765925
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 24,151 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - 26 March) of 26827 tweet IDs, or who were replied to or mentioned in those tweets. 24222 out of 26827 tweets were collected. The network was obtained from Twitter on Friday, 02 October 2020 at 11:28 UTC.
The tweets in the network were tweeted over the 23-hour, 57-minute period from Thursday, 26 March 2020 at 01:01 UTC to Friday, 27 March 2020 at 00:59 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 - 26 March
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:
[17311] 14,days [8849] nhs,staff [8749] now,#covid19uk [8717] self,isolate [8687] told,self [8660] need,testing [8658] staff,now [8655] boyfriend,paramedic [8655] paramedic,s [8655] s,told Top Word Pairs in Tweet in G1:
[16556] 14,days [8279] now,#covid19uk [8278] boyfriend,paramedic [8278] paramedic,s [8278] s,told [8278] told,self [8278] self,isolate [8278] isolate,14 [8278] days,due [8278] due,housemate Top Word Pairs in Tweet in G2:
[162] #covid2019,#covid19uk [127] #coronavirus,#covid19uk [107] #covid19,#covid19uk [92] #covid19uk,#coronavirus [78] covid,19 [63] #coronavirusuk,#covid19uk [58] self,employed [50] #covid19uk,#covid19 [41] #stayhomesavelives,#covid19uk [41] #nhs,#covid19uk Top Word Pairs in Tweet in G3:
[173] #coronavirus,#covid19uk [103] #covid2019,#covid19uk [99] #covid19,#covid19uk [84] 14,days [77] nhs,staff [69] #coronavirusuk,#covid19uk [62] #covid19uk,#coronavirusuk [58] self,employed [56] #covid19uk,#coronavirus [53] #covid19uk,#covid19 Top Word Pairs in Tweet in G4:
[962] ventilator,scheme [482] 03,2020 [481] matt,hancock [481] hancock,knew [481] knew,#eu [481] #eu,ventilator [481] scheme,last [481] last,week [481] week,19 [481] 19,03 Top Word Pairs in Tweet in G5:
[602] priti,patel [602] patel,lobbying [602] lobbying,close [602] close,uk [602] uk,borders [602] borders,prevent [602] prevent,thousands [602] thousands,passengers [602] passengers,#coronavirus [602] #coronavirus,hotspot Top Word Pairs in Tweet in G6:
[247] #coronavirus,#covid19uk [247] #covid19uk,#covid19 [244] protective,equipment [244] haven,t [243] equipment,ppe [241] 6,3 [241] 3,today [241] today,vicderbyshire [241] vicderbyshire,spoke [241] spoke,director Top Word Pairs in Tweet in G7:
[395] #clapfornhs,#covid19uk [394] leeds,dock [394] dock,8pm [394] 8pm,love [394] love,city [394] city,love [394] love,nhs [394] nhs,beat [394] beat,#clapfornhs [394] #covid19uk,#leeds Top Word Pairs in Tweet in G8:
[198] sick,pay [156] protective,equipment [124] equipment,sick [124] medical,couriers [77] self,employed [76] covid,19 [62] demand,protective [62] pay,#covid19uk [62] #covid19uk,medical [62] couriers,taking Top Word Pairs in Tweet in G9:
[138] 3,weeks [126] government,ordered [126] ordered,10 [126] 10,000 [126] 000,ventilators [126] ventilators,james [126] james,dyson [126] dyson,devices [126] devices,haven't [126] haven't,passed Top Word Pairs in Tweet in G10:
[141] firefighters,#london [139] #london,#clapforourcarers [139] #clapforourcarers,showing [139] showing,love [139] love,amazing [139] amazing,nhs [139] nhs,doctors [139] doctors,nurses [139] nurses,carers [139] carers,forgetting Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: