The graph represents a network of 8,478 Twitter users whose recent tweets were included in a list (Tweet ID List #covid19uk April 2021) of 13563 tweet IDs, or who were replied to or mentioned in those tweets. 12342 out of 13563 tweets were collected. The network was obtained from Twitter on Sunday, 09 May 2021 at 10:54 UTC.
The tweets in the network were tweeted over the 29-day, 23-hour, 14-minute period from Thursday, 01 April 2021 at 00:09 UTC to Friday, 30 April 2021 at 23:24 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 : 8478
Unique Edges : 11536
Edges With Duplicates : 8153
Total Edges : 19689
Number of Edge Types : 5
Retweet : 5916
Tweet : 5095
Mentions : 3246
MentionsInRetweet : 4565
Replies to : 867
Self-Loops : 5390
Reciprocated Vertex Pair Ratio : 0.013550135501355
Reciprocated Edge Ratio : 0.0267379679144385
Connected Components : 1797
Single-Vertex Connected Components : 1147
Maximum Vertices in a Connected Component : 4788
Maximum Edges in a Connected Component : 13516
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.51693
Graph Density : 0.000156119539479083
Modularity : 0.5542
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,478 Twitter users whose recent tweets were included in a list (Tweet ID List #covid19uk April 2021) of 13563 tweet IDs, or who were replied to or mentioned in those tweets. 12342 out of 13563 tweets were collected. The network was obtained from Twitter on Sunday, 09 May 2021 at 10:54 UTC.
The tweets in the network were tweeted over the 29-day, 23-hour, 14-minute period from Thursday, 01 April 2021 at 00:09 UTC to Friday, 30 April 2021 at 23:24 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 April 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:
[979] #covid19,#covid19uk [682] covid,19 [328] coronavirus,covid [323] #coronavirus,#covid19 [267] 2021,insights [267] insights,#coronavirus [267] #covid2020,#covid19pandemic [267] #covid19pandemic,#coronaupdate [267] #coronaupdate,#coronavirusoutbreak [257] #covid19uk,#coronavirusuk Top Word Pairs in Tweet in G1:
[273] #covid19,#covid19uk [178] mask,glasses [178] glasses,wearers [178] #covid_19,#ukgiftam [178] #sales,#corona [149] #covidー19,#sales [94] wearers,#covid_19 [94] #ukgiftam,#ukgifthour [94] #corona,#giveaway [94] #giveaway,#giftideas Top Word Pairs in Tweet in G2:
[52] #covid19,#covid19uk [39] #covid,vaccine [37] #ukvaccinequeue,#omnireports [37] 1st,dose [36] 2nd,dose [32] #covid19uk,#covid19 [32] priority,#covid [32] vaccine,1st [32] yesterday,prediction [32] #omnireports,#covid19uk Top Word Pairs in Tweet in G3:
[4] 'died,' [4] ','died [3] quick,reminder [3] reminder,'tested [3] 'tested,positive' [3] positive','ill' [3] recovery,rate [3] fat,ill [3] barbara,kahan [2] table,results Top Word Pairs in Tweet in G4:
[22] boris,johnson [6] chris,whitty [5] #covid19,#covid19uk [4] #covid19uk,#corruption [4] conflicts,interest [4] #covid19uk,#borisjohnson [3] #corruption,#bigpharma [3] andrewp94729485,tracyaustin_ [3] acsavage,s9tmt [3] s9tmt,jreynoldsmp Top Word Pairs in Tweet in G5:
[3] #covid19,#covid19uk [2] bodies,pile [2] office,entourage [2] #covid19uk,#brexit [2] #ukpolitics,#politicslive [2] borisjohnson,keir_starmer [2] covid,19 [2] 2nd,doses Top Word Pairs in Tweet in G6:
[146] positive,tests [136] rolling,average [86] #covid19uk,positive [77] brings,rolling [74] deaths,reported [71] compared,previous [60] local,authorities [60] positives,100k [60] tests,thread [59] #covid19uk,deaths Top Word Pairs in Tweet in G7:
[6] #covid19,#covid19uk [5] #pubrooms,supporting [5] supporting,great [5] great,british [5] british,pubs [4] odds,person [3] #covidvaccine,#covid19uk [3] #covid19uk,#pubs [2] lozzafox,talkradio [2] incase,#covidvaccine Top Word Pairs in Tweet in G8:
[18] #covid19,#covid19uk [15] #covid19ireland,#covid19uk [11] #covid19uk,#covid19ireland [9] #conspiracytheories,#covid19uk [7] 2018,study [7] study,relevance [7] relevance,#covid19 [7] #covid19,#mrna [7] #mrna,#vaccines [7] memorial,sloan Top Word Pairs in Tweet in G9:
[70] #covid19uk,#coronavirusuk [59] #coronavirusuk,#covidvaccine [50] #covidvaccine,#propaganda [49] #propaganda,#masksoff [10] #masksoff,#usforthem [8] #masksoff,#masksdontwork [5] #masksoff,#takeoffyourmask [5] #coronavirusuk,#nonewnormal [5] #nonewnormal,#masksdontwork [5] #masksdontwork,#masksoff Top Word Pairs in Tweet in G10:
[30] #covid19uk,#coronavirusuk [30] #coronavirusuk,#dailycovidupdate [15] covid,19 [13] booster,covid [12] #covid19,#covid19uk [11] #covidvaccine,#covid19uk [10] #covid,19 [10] 19,blood [10] blood,emergency [10] emergency,approval Top Replied-To in Entire Graph:
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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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G9:
Top Tweeters in G10: