The graph represents a network of 1,201 Twitter users whose recent tweets were included in a list (Tweet ID List #Covid19UK May 2022) of 2799 tweet IDs, or who were replied to or mentioned in those tweets. 2269 out of 2799 tweets were collected. The network was obtained from Twitter on Sunday, 03 July 2022 at 20:18 UTC.
The tweets in the network were tweeted over the 30-day, 22-hour, 31-minute period from Sunday, 01 May 2022 at 00:20 UTC to Tuesday, 31 May 2022 at 22:51 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 : 1201
Unique Edges : 1310
Edges With Duplicates : 2293
Total Edges : 3603
Self-Loops : 1071
Reciprocated Vertex Pair Ratio : 0.00272851296043656
Reciprocated Edge Ratio : 0.0054421768707483
Connected Components : 178
Single-Vertex Connected Components : 82
Maximum Vertices in a Connected Component : 667
Maximum Edges in a Connected Component : 2260
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 5.416173
Graph Density : 0.00101998334721066
Modularity : 0.411584
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,201 Twitter users whose recent tweets were included in a list (Tweet ID List #Covid19UK May 2022) of 2799 tweet IDs, or who were replied to or mentioned in those tweets. 2269 out of 2799 tweets were collected. The network was obtained from Twitter on Sunday, 03 July 2022 at 20:18 UTC.
The tweets in the network were tweeted over the 30-day, 22-hour, 31-minute period from Sunday, 01 May 2022 at 00:20 UTC to Tuesday, 31 May 2022 at 22:51 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 May 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:
[393] covid,19 [332] #coronavirus,#covid19 [329] coronavirus,covid [329] 2022,more [329] more,insights [329] insights,#coronavirus [329] #covid2020,#covid19pandemic [329] #covid19pandemic,#coronaupdate [329] #coronaupdate,#coronavirusoutbreak [217] #coronavirusuk,#covid19uk Top Word Pairs in Tweet in G1:
[198] #coronavirusuk,#covid19uk [94] #covidisnotover,#wearamask [93] #wearamask,save [93] save,life [84] covid,deaths [77] life,uk [70] #covid19uk,#covidisnotover [57] 12,months [53] uk,weekly [53] weekly,covid Top Word Pairs in Tweet in G2:
[34] mask,works [34] works,glasses [34] glasses,wearers [34] wearers,#sales [34] #sales,#covid_19 [34] #covid,#giveaways [34] #giveaways,#ukgiftam [34] #ukgiftam,#covidisnotover [34] #covidisnotover,#covid19 [34] #masks,#giftsforher Top Word Pairs in Tweet in G3:
[66] new,figures [66] figures,worldhealthorga [66] worldhealthorga,showexcess [66] showexcess,death [66] death,rate [66] rate,#covid19uk [66] #covid19uk,lower [66] lower,france [66] france,spain [66] spain,another Top Word Pairs in Tweet in G4:
[77] #covid19uk,#coronavirusuk [77] #coronavirusuk,#dailycovidupdate [35] new,deaths [35] recently,tested [35] tested,positive [35] positive,virus [34] past,week [31] number,people [29] week,uk [29] uk,confirmed Top Word Pairs in Tweet in G5:
[188] #covid19uk,#covid19 [186] #listen_to_surrahalrehman,#qalandar_baba_bukhari [186] #coronavirus,#coronavirusupdates [186] #coronavirusupdates,#corona [186] #corona,#covid19uk [186] #covid19,#covidvariant [186] #covidvariant,#omicronvirus [186] #omicronvirus,app [186] app,ultimate [186] ultimate,remedy Top Word Pairs in Tweet in G6:
[4] drumeshprabhu,wb_uk [4] wb_uk,peapeaspot [4] peapeaspot,googleexpertuk [4] googleexpertuk,jeremy_hunt [4] jeremy_hunt,corpgovuk [4] corpgovuk,thepeopleshubuk [4] thepeopleshubuk,thepeopleshubun [4] reddit,nhsengland [4] nhsengland,nhsc_niall [4] nhsc_niall,gmcuk Top Word Pairs in Tweet in G7:
[56] recent,study [56] study,uk [56] uk,showed [56] showed,8 [56] 8,9 [56] 9,triple [56] triple,vaccinated [56] vaccinated,people [56] people,developing [56] developing,long Top Word Pairs in Tweet in G8:
[16] mendelpol,pritipatel [16] pritipatel,conservatives [16] conservatives,end_our_pain [16] end_our_pain,mayoroflondon [16] mayoroflondon,sadiqkhan [16] sadiqkhan,keir_starmer [16] keir_starmer,uklabour [16] uklabour,coopparty [16] coopparty,yasinforbedford [16] yasinforbedford,meg_hilliermp Top Word Pairs in Tweet in G9:
[75] #covid19uk,#coronavirusuk [69] #coronavirusuk,#covidvaccine [29] imagine,getting [29] getting,jab [29] jab,dictated [29] dictated,someone [29] someone,facing [29] facing,genocide [29] genocide,charges [29] charges,#covid19uk Top Word Pairs in Tweet in G10:
[33] last,7 [33] 7,days [33] days,officially [33] officially,5 [33] 5,074 [33] 074,people [33] people,admitted [33] admitted,hospital [33] hospital,#covid19uk [33] #covid19uk,789 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G6:
Top Mentioned in G8:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: