The graph represents a network of 8,932 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk- week 34) of 10799 tweet IDs, or who were replied to or mentioned in those tweets. 10099 out of 10799 tweets were collected. The network was obtained from Twitter on Friday, 20 November 2020 at 17:53 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 54-minute period from Tuesday, 10 November 2020 at 00:04 UTC to Monday, 16 November 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 : 8932
Unique Edges : 12550
Edges With Duplicates : 4029
Total Edges : 16579
Self-Loops : 3733
Reciprocated Vertex Pair Ratio : 0.0167508641318798
Reciprocated Edge Ratio : 0.0329497907949791
Connected Components : 2206
Single-Vertex Connected Components : 1447
Maximum Vertices in a Connected Component : 4735
Maximum Edges in a Connected Component : 11087
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.750995
Graph Density : 0.000143810413348134
Modularity : 0.672271
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,932 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk- week 34) of 10799 tweet IDs, or who were replied to or mentioned in those tweets. 10099 out of 10799 tweets were collected. The network was obtained from Twitter on Friday, 20 November 2020 at 17:53 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 54-minute period from Tuesday, 10 November 2020 at 00:04 UTC to Monday, 16 November 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 34
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:
[710] #covid19,#covid19uk [503] covid,19 [297] #covid19uk,#coronavirusuk [270] #covid19uk,#covid19 [255] #covid19uk,deaths [248] boris,johnson [242] 50,000 [238] those,linked [237] vote,leave [236] cummings,still Top Word Pairs in Tweet in G1:
[155] #covid19,#covid19uk [90] covid,19 [56] #covid19uk,#covid19 [38] don,t [38] #covid_19,#covid19uk [37] #covid19uk,#covid [34] #covidvaccine,#covid19uk [33] #covid19uk,#coronavirus [30] #covid,#covid19uk [29] #covidiots,#covid19uk Top Word Pairs in Tweet in G2:
[211] 3,vote [211] vote,leave [211] leave,now [211] now,no10 [211] no10,staffers [211] staffers,considering [211] considering,resigning [211] resigning,apparently [211] apparently,cummings [211] cummings,still Top Word Pairs in Tweet in G3:
[125] well,done [123] piersmorgan,susannareid100 [120] done,piersmorgan [119] brilliant,satisfying [119] satisfying,see [119] see,hancock [119] hancock,held [119] held,account [119] account,failures [119] failures,something Top Word Pairs in Tweet in G4:
[47] #covid19,#covid19uk [18] uk,gov [14] #covid19uk,#covid19 [12] #covid19uk,#torybritain [12] #dementia,#alzheimers [12] 50,000 [10] new,infections [10] infections,per [10] per,10 [10] 10,000 Top Word Pairs in Tweet in G5:
[48] #coronavirusuk,#covid19uk [26] more,important [26] boris,johnson [25] dr,john [25] john,campbell [25] campbell,#coronavirusuk [24] new,cases [21] last,24 [20] children,drivers [20] drivers,infection Top Word Pairs in Tweet in G6:
[127] boris,johnson [127] johnson,neglect [127] neglect,malice [127] malice,failure [127] failure,brand [127] brand,new [127] new,one [127] one,please [127] please,take [127] take,read Top Word Pairs in Tweet in G7:
[57] 4,million [57] million,tests [51] tests,unused [50] 1,4 [43] #criminalincompetence,#covidgraphsuk [40] #covidgraphsuk,#covid19uk [37] 14,days [34] deaths,#covid19uk [34] second,wave [33] people,walking Top Word Pairs in Tweet in G8:
[119] 7,days [116] #covid19uk,#coronavirusuk [116] #coronavirusuk,#dailycovidupdate [84] 7,day [77] coronavirus,covid [77] covid,19 [77] 19,weekly [77] weekly,overview [77] positive,test [77] date,reported Top Word Pairs in Tweet in G9:
[109] disabled,people [72] researcher,report [72] report,looking [72] looking,disabled [72] people,experienced [72] experienced,health [72] health,discrimination [72] discrimination,#covid19uk [72] #covid19uk,through [72] through,discriminatory Top Word Pairs in Tweet in G10:
[55] desmondswayne,#covid19uk [29] continue,fight [29] fight,ordinary [29] ordinary,people [29] people,country [29] country,more [29] more,inhuman [29] inhuman,policy [29] policy,sake [29] sake,#covid19uk Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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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: