The graph represents a network of 10,433 Twitter users whose recent tweets were included in a list (Tweet ID List - #Covid19UK January 2022) of 18231 tweet IDs, or who were replied to or mentioned in those tweets. 16781 out of 18231 tweets were collected. The network was obtained from Twitter on Wednesday, 02 February 2022 at 09:54 UTC.
The tweets in the network were tweeted over the 30-day, 22-hour, 31-minute period from Saturday, 01 January 2022 at 01:12 UTC to Monday, 31 January 2022 at 23:44 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 : 10433
Unique Edges : 16986
Edges With Duplicates : 8498
Total Edges : 25484
Self-Loops : 5123
Reciprocated Vertex Pair Ratio : 0.0042979099205181
Reciprocated Edge Ratio : 0.00855903388439442
Connected Components : 1210
Single-Vertex Connected Components : 872
Maximum Vertices in a Connected Component : 8402
Maximum Edges in a Connected Component : 22179
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.238072
Graph Density : 0.000156729707940648
Modularity : 0.542135
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 10,433 Twitter users whose recent tweets were included in a list (Tweet ID List - #Covid19UK January 2022) of 18231 tweet IDs, or who were replied to or mentioned in those tweets. 16781 out of 18231 tweets were collected. The network was obtained from Twitter on Wednesday, 02 February 2022 at 09:54 UTC.
The tweets in the network were tweeted over the 30-day, 22-hour, 31-minute period from Saturday, 01 January 2022 at 01:12 UTC to Monday, 31 January 2022 at 23:44 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 January 2022
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:
[2110] #covid19uk,#coronavirusuk [1529] #coronavirusuk,#covidvaccine [1372] counting,reinfections [1371] incase,aware [1371] aware,wales [1371] wales,counting [1371] counting,#covid19uk [1371] #covid19uk,reinfections [1371] reinfections,england [1371] england,counting Top Word Pairs in Tweet in G1:
[1589] #covid19uk,#coronavirusuk [1484] #coronavirusuk,#covidvaccine [1160] people,#covid19uk [1160] restrictions,lifted [1159] lifted,day [1159] day,before [1159] before,bill [1159] bill,gates [1159] gates,announces [1159] announces,1 Top Word Pairs in Tweet in G2:
[1061] incase,aware [1061] aware,wales [1061] wales,counting [1061] counting,#covid19uk [1061] #covid19uk,reinfections [1061] reinfections,england [1061] england,counting [1061] counting,reinfections [78] per,week [77] irregular,heartbeat Top Word Pairs in Tweet in G3:
[178] deaths,last [166] last,24 [166] please,please [163] sajidjavid,borisjohnson [152] 7,days [132] even,more [128] 24,hours [127] 28,days [122] 1yr,comment [122] comment,even Top Word Pairs in Tweet in G4:
[104] #covid19,#covid19uk [68] covid,19 [46] #covid19uk,#covid19 [29] #covid,#covid19uk [29] #covid19,#covid [28] #covid_19,#covid19uk [25] #covid19uk,#covid [23] #covid19uk,#omicron [21] 24,hours [21] #coronavirus,#covid19uk Top Word Pairs in Tweet in G5:
[568] #coronavirusuk,#covid19uk [373] #covid19uk,#omicron [117] never,mind [115] drakefords,uklabour [115] uklabour,#covid19uk [115] #covid19uk,strategy [115] strategy,failed [115] failed,miserably [115] miserably,never [115] mind,bbcnews Top Word Pairs in Tweet in G6:
[577] 7,days [544] deaths,last [533] last,24 [454] 24,hours [349] 28,days [307] cases,reported [279] reported,last [274] million,cases [250] cases,28 [241] last,7 Top Word Pairs in Tweet in G7:
[137] conservatives,#covid19uk [135] '20,wanted [135] wanted,see [135] see,much [135] much,anger [135] anger,justified [135] justified,now [135] now,angrier [135] angrier,thread [135] thread,borisjohnson Top Word Pairs in Tweet in G8:
[450] #covid19,#covid19uk [394] covid,19 [366] coronavirus,covid [278] positive,test [207] date,reported [207] #corona,#covid19 [205] 19,weekly [205] weekly,overview [205] reported,#coronavirus [192] 28,days Top Word Pairs in Tweet in G9:
[20] #covid19uk,#coronavirusuk [18] #coronavirusuk,#coronashambles [17] #borisjohnson,#covid19uk [16] deaths,last [15] #covid19uk,#johnsonthecoward [14] 7,days [13] #coronashambles,#freedumbday [13] #johnsonthescrounger,#johnsonout [12] #covid19,#covid19uk [12] last,24 Top Word Pairs in Tweet in G10:
[65] #nhs,#covid19uk [62] set,out [62] 2022,23 [51] nhs,set [51] out,plans [51] plans,2022 [51] 23,focus [51] focus,recovering [51] recovering,services [51] services,reducing Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: