The graph represents a network of 25,153 Twitter users whose recent tweets were included in a list (Tweet ID List - #covid19uk October 2021) of 40913 tweet IDs, or who were replied to or mentioned in those tweets. 38907 out of 40913 tweets were collected. The network was obtained from Twitter on Tuesday, 02 November 2021 at 21:39 UTC.
The tweets in the network were tweeted over the 30-day, 23-hour, 50-minute period from Friday, 01 October 2021 at 00:02 UTC to Sunday, 31 October 2021 at 23:53 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 : 25153
Unique Edges : 43481
Edges With Duplicates : 15740
Total Edges : 59221
Self-Loops : 8385
Reciprocated Vertex Pair Ratio : 0.00525733259546209
Reciprocated Edge Ratio : 0.0104596751995596
Connected Components : 2782
Single-Vertex Connected Components : 2090
Maximum Vertices in a Connected Component : 20918
Maximum Edges in a Connected Component : 53474
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.30653
Graph Density : 6.89103298500202E-05
Modularity : 0.56936
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 25,153 Twitter users whose recent tweets were included in a list (Tweet ID List - #covid19uk October 2021) of 40913 tweet IDs, or who were replied to or mentioned in those tweets. 38907 out of 40913 tweets were collected. The network was obtained from Twitter on Tuesday, 02 November 2021 at 21:39 UTC.
The tweets in the network were tweeted over the 30-day, 23-hour, 50-minute period from Friday, 01 October 2021 at 00:02 UTC to Sunday, 31 October 2021 at 23:53 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 October 2021
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:
[6287] #pfizer,#covid19uk [6270] 3,hospital [6270] #covid19uk,#myocarditis [6251] very,rare [6251] rare,reaction [6251] reaction,vaccine [6251] vaccine,3 [6251] hospital,unexplained [6251] recently,received [6251] pfizer,jab Top Word Pairs in Tweet in G1:
[5814] #pfizer,#covid19uk [5813] #covid19uk,#myocarditis [5811] very,rare [5811] rare,reaction [5811] reaction,vaccine [5811] vaccine,3 [5811] 3,hospital [5811] hospital,unexplained [5811] recently,received [5811] jab,#pfizer Top Word Pairs in Tweet in G2:
[419] #covid19uk,#covid19 [369] freedom,day [352] #covid19uk,#covid [328] #covid,#torycoviddisaster [320] go,ahead [318] 21st,june [318] june,original [318] original,freedom [318] day,told [318] told,go Top Word Pairs in Tweet in G3:
[691] #coronavirusuk,#covid19uk [400] 28,days [377] oct,2021 [228] deaths,28 [211] #covid,#covid19uk [191] #covid19,#covid19uk [183] today's,#covid19uk [180] plan,b [177] hivetosurvive,#covid [176] shieldus1,hivetosurvive Top Word Pairs in Tweet in G4:
[1193] s,time [859] #torycoviddisaster,#covid19uk [858] petercardwell,#torycoviddisaster [755] won,t [754] daniel,surrey [754] surrey,m [754] m,wearing [754] wearing,mask [754] mask,won [754] t,locked Top Word Pairs in Tweet in G5:
[228] #covid19,#covid19uk [106] covid,19 [106] #covid19uk,#covid19 [87] #covid_19,#covid19uk [85] plan,b [60] don,t [59] #covid19uk,#covid_19 [50] #covid,#covid19uk [49] #covid19uk,#covid [45] #covid19uk,#coronavirus Top Word Pairs in Tweet in G6:
[1056] booster,teens [1056] teens,jabs [1049] death,rate [1048] back,masks [1047] s,time [1047] bring,back [1046] #covid19uk,soaring [1046] soaring,highest [1046] highest,death [1046] rate,europe Top Word Pairs in Tweet in G7:
[196] #covid19uk,#wearamask [195] summary,#tory [195] #tory,plan [195] plan,tackle [195] tackle,#covid19 [195] #covid19,illustrated [195] illustrated,#javid's [195] #javid's,briefing [195] briefing,yesterday [195] yesterday,total Top Word Pairs in Tweet in G8:
[520] covid,19 [496] #covid19,#covid19uk [469] coronavirus,covid [374] positive,test [299] 19,weekly [299] weekly,overview [299] date,reported [299] reported,#coronavirus [299] #corona,#covid19 [276] positive,tests Top Word Pairs in Tweet in G9:
[629] #covid19uk,#coronavirusuk [602] #coronavirusuk,#dailycovidupdate [281] new,cases [234] new,deaths [192] cases,reported [178] reported,today [127] deaths,reported [119] uk,now [117] covid,cases [116] throughout,uk Top Word Pairs in Tweet in G10:
[116] covid,dogs [116] dogs,bought [116] bought,lockdown [116] lockdown,being [116] being,abandoned [116] abandoned,bbcwalesnews [116] bbcwalesnews,mt [116] mt,hoperescue [116] hoperescue,#dogs [116] #dogs,pets 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:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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: