The graph represents a network of 36,964 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 5) of 51876 tweet IDs, or who were replied to or mentioned in those tweets. 46644 out of 51876 tweets were collected. The network was obtained from Twitter on Thursday, 24 September 2020 at 19:23 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 55-minute period from Tuesday, 21 April 2020 at 00:04 UTC to Monday, 27 April 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 : 36964
Unique Edges : 69547
Edges With Duplicates : 17100
Total Edges : 86647
Self-Loops : 10841
Reciprocated Vertex Pair Ratio : 0.0168760686937774
Reciprocated Edge Ratio : 0.0331919871326217
Connected Components : 5811
Single-Vertex Connected Components : 3743
Maximum Vertices in a Connected Component : 26014
Maximum Edges in a Connected Component : 72541
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 5.403937
Graph Density : 5.0054880613174E-05
Modularity : 0.678823
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 36,964 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 5) of 51876 tweet IDs, or who were replied to or mentioned in those tweets. 46644 out of 51876 tweets were collected. The network was obtained from Twitter on Thursday, 24 September 2020 at 19:23 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 55-minute period from Tuesday, 21 April 2020 at 00:04 UTC to Monday, 27 April 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 - week 5
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:
[2350] #covid19uk,crisis [2075] health,secretary [2055] need,consider [2054] major,issue [2054] became,pm [2054] handled,crisis [2053] crisis,first [2053] first,major [2053] issue,borisjohnson [2053] borisjohnson,became Top Word Pairs in Tweet in G1:
[438] #covid19uk,#covid_19 [427] #covid19uk,crisis [412] deaths,uk [395] #covid_19,#coronavirus [389] don,t [374] more,people [373] people,uk [364] over,20k [361] still,wondering [361] wondering,germany Top Word Pairs in Tweet in G2:
[244] #covid19,#covid19uk [196] covid,19 [129] #covid19uk,#coronavirus [117] #covid19uk,#coronavirusuk [117] #covid_19,#covid19uk [116] #covid19uk,#covid19 [116] during,#covid19uk [113] #coronavirus,#covid19uk [101] #coronavirusuk,#covid19uk [78] #covid19uk,pandemic Top Word Pairs in Tweet in G3:
[1603] #covid19uk,crisis [1595] major,issue [1594] crisis,first [1594] first,major [1594] issue,borisjohnson [1594] borisjohnson,became [1594] became,pm [1594] pm,health [1594] health,secretary [1594] secretary,handled Top Word Pairs in Tweet in G4:
[1104] 10downingstreet,dhscgovuk [1072] important,message [1072] 'covid,19 [1071] dhscgovuk,#covid19uk [1070] #covid19,#coronavirusuk [1070] govuk,10downingstreet [1069] usually,tweet [1069] tweet,saturday [1069] saturday,evening [1069] evening,council Top Word Pairs in Tweet in G5:
[508] listen,live [434] live,juliahb1 [270] vaccine,trials [257] #covid19uk,#covidiots [256] bbc,make [256] make,cup [256] cup,coffee [256] coffee,government [256] government,coffee [256] coffee,first Top Word Pairs in Tweet in G6:
[325] #covid19uk,please [299] 200,000 [298] frontline,staff [297] brilliant,innovative [297] innovative,thinking [297] thinking,dtassoc [297] dtassoc,100s [297] 100s,design [297] design,technology [297] technology,teachers Top Word Pairs in Tweet in G7:
[132] during,#covid19uk [63] support,service [62] covid,19 [61] new,parents [61] parents,during [57] nhs,funded [56] sign,up [56] up,here [55] urgently,need [55] need,1 Top Word Pairs in Tweet in G8:
[218] #covid19usa,#covid19india [218] #covid19india,#covid19uk [214] #linux,#covid19usa [196] #usa,#uk [195] #covid19uk,#covid19canada [194] #healthcare,#who [190] #covid19canada,#covid19france [190] #covid19,#linux [188] #france,#spain [187] #bigdata,#healthcare Top Word Pairs in Tweet in G9:
[130] #covid19,#covid19uk [88] april,2020 [72] during,#covid19uk [55] government,strategy [53] group,mps [53] mps,examined [53] examined,domestic [53] domestic,violence [53] violence,under [53] under,lockdown Top Word Pairs in Tweet in G10:
[137] #covid19,#covid19uk [129] mental,health [126] #covid,19 [91] 19,#covid19uk [89] during,lockdown [81] read,tips [76] loneliness,during [55] lockdown,new [54] looking,mental [53] during,coronavirus Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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 G5:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: