The graph represents a network of 15,638 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - 23 March (incomplete)) of 17819 tweet IDs, or who were replied to or mentioned in those tweets. 16286 out of 17819 tweets were collected. The network was obtained from Twitter on Sunday, 04 October 2020 at 13:30 UTC.
The tweets in the network were tweeted over the 17-hour, 22-minute period from Monday, 23 March 2020 at 06:37 UTC to Monday, 23 March 2020 at 23:59 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 : 15638
Unique Edges : 21245
Edges With Duplicates : 4465
Total Edges : 25710
Self-Loops : 4614
Reciprocated Vertex Pair Ratio : 0.00952036011796968
Reciprocated Edge Ratio : 0.0188611552457588
Connected Components : 3202
Single-Vertex Connected Components : 1814
Maximum Vertices in a Connected Component : 8063
Maximum Edges in a Connected Component : 16113
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.174807
Graph Density : 7.97893420692146E-05
Modularity : 0.756697
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 15,638 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - 23 March (incomplete)) of 17819 tweet IDs, or who were replied to or mentioned in those tweets. 16286 out of 17819 tweets were collected. The network was obtained from Twitter on Sunday, 04 October 2020 at 13:30 UTC.
The tweets in the network were tweeted over the 17-hour, 22-minute period from Monday, 23 March 2020 at 06:37 UTC to Monday, 23 March 2020 at 23:59 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 - 23 March (incomplete)
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:
[1340] #coronavirusuk,#covid19uk [1060] #covid19,#covid19uk [1037] covid,19 [972] stay,home [950] herd,immunity [871] hasn,t [864] laura,kuenssberg [864] government,slow [864] #bbc,#coronavirusuk [863] kuenssberg,situation Top Word Pairs in Tweet in G1:
[200] #covid19,#covid19uk [135] #covidー19,#covid19uk [111] #coronavirusuk,#covid19uk [85] #covid19uk,#coronavirus [78] stay,home [75] #covid19uk,#coronavirusuk [65] covid,19 [65] #covid19uk,#covid19 [62] social,distancing [60] #coronavirus,#covid19uk Top Word Pairs in Tweet in G2:
[125] #covid19,#covid19uk [96] #covid19uk,#coronavirusuk [82] #coronavirusuk,#covid19uk [74] #covidー19,#covid19uk [58] #covid19uk,#covid19 [50] #covid19uk,#coronavirus [48] self,employed [41] covid,19 [39] stay,home [38] #coronavirus,#covid19uk Top Word Pairs in Tweet in G3:
[769] #coronavirusuk,#covid19uk [767] laura,kuenssberg [767] kuenssberg,situation [767] situation,escalated [767] escalated,more [767] more,quickly [767] quickly,predicted [767] predicted,hasn [767] hasn,t [767] t,predicted Top Word Pairs in Tweet in G4:
[108] dare,agree [108] #covid19uk,#coronaviruspandemic [99] #covid19uk,#coronavirus [94] whatever,political [94] political,inclination [94] inclination,article [94] article,conmon [94] conmon,sense [94] sense,forget [94] forget,jeremy Top Word Pairs in Tweet in G5:
[443] covid,19 [438] emergency,covid [438] 19,alert [438] alert,now [438] now,stay [438] stay,home [438] home,protect [438] protect,nhs [438] nhs,save [438] save,lives Top Word Pairs in Tweet in G6:
[199] listen,live [170] live,juliahb1 [129] #covid19uk,#mondaythoughts [112] matt,hancock [112] juliahb1,matthancock [112] matthancock,#covid19uk [98] #covid19,#covid19uk [74] coronavirus,outbreak [70] looking,mental [70] mental,health Top Word Pairs in Tweet in G7:
[118] per,week [82] 4yrs,tories [82] tories,refused [82] refused,listen [82] listen,experts [82] experts,repeatedly [82] repeatedly,told [82] told,ignore [82] ignore,expert [82] expert,advice Top Word Pairs in Tweet in G8:
[344] uk,reaction [344] reaction,#covid19uk [344] #covid19uk,pandemic Top Word Pairs in Tweet in G9:
[76] #covid19uk,#covid [73] #covid19uk,#covid19 [59] #covid19,#covid [59] #coronavirusuk,press [59] press,briefing [59] briefing,include [59] include,guest [59] guest,speaker [59] speaker,appears [59] appears,far Top Word Pairs in Tweet in G10:
[246] young,people [155] live,q [153] national,clinical [153] clinical,director [122] questions,#covid19uk [119] tune,10am [119] 10am,today [119] today,live [119] q,scotgovfm [119] scotgovfm,nicola Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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 G9:
Top Tweeters in G10: