The graph represents a network of 8,495 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19UK - 13 May) of 9405 tweet IDs, or who were replied to or mentioned in those tweets. 8497 out of 9405 tweets were collected. The network was obtained from Twitter on Sunday, 11 October 2020 at 11:08 UTC.
The tweets in the network were tweeted over the 23-hour, 55-minute period from Wednesday, 13 May 2020 at 00:03 UTC to Wednesday, 13 May 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 : 8495
Unique Edges : 11808
Edges With Duplicates : 2053
Total Edges : 13861
Self-Loops : 2324
Reciprocated Vertex Pair Ratio : 0.0138460099167368
Reciprocated Edge Ratio : 0.0273138322413952
Connected Components : 1797
Single-Vertex Connected Components : 973
Maximum Vertices in a Connected Component : 4461
Maximum Edges in a Connected Component : 8573
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.341237
Graph Density : 0.00015018737735864
Modularity : 0.742693
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,495 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19UK - 13 May) of 9405 tweet IDs, or who were replied to or mentioned in those tweets. 8497 out of 9405 tweets were collected. The network was obtained from Twitter on Sunday, 11 October 2020 at 11:08 UTC.
The tweets in the network were tweeted over the 23-hour, 55-minute period from Wednesday, 13 May 2020 at 00:03 UTC to Wednesday, 13 May 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 - 13 May
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:
[409] #covid19,#covid19uk [371] #coronavirusuk,#covid19uk [341] covid,19 [319] #covid19uk,#borisresign [313] difference,shocking [313] shocking,#covid19uk [313] #borisresign,#jacindaardern [304] social,distancing [296] #covidー19,#covid19uk [280] don,t Top Word Pairs in Tweet in G1:
[92] #covidー19,#covid19uk [61] #covid19,#covid19uk [47] covid,19 [37] #covid19uk,#coronavirus [37] #coronavirusuk,#covid19uk [34] #covid19uk,#coronavirusuk [33] #covid19uk,#covidー19 [32] #covidー19,#covid19 [30] #coronavirus,#covid19uk [28] back,work Top Word Pairs in Tweet in G2:
[72] #coronavirusuk,#covid19uk [61] #covid19,#covid19uk [61] covid,19 [51] borisjohnson,s [38] excess,deaths [38] 60,000 [37] back,work [37] 33,000 [37] total,number [36] #covid19uk,#covid19 Top Word Pairs in Tweet in G3:
[111] social,distancing [107] police,forces [107] forces,england [107] england,told [107] told,no10 [107] no10,police [107] police,legal [107] legal,power [107] power,enforce [107] enforce,social Top Word Pairs in Tweet in G4:
[106] government,s [103] devastating,again [103] again,keir_starmer [103] keir_starmer,#pmqs [103] #pmqs,laser [103] laser,questions [103] questions,getting [103] getting,heart [103] heart,government [103] s,#covid19uk Top Word Pairs in Tweet in G5:
[57] #covid19uk,deaths [55] deaths,per [54] piersmorgan,mentioned [54] mentioned,figs [54] figs,higher [54] higher,tuesdays [54] tuesdays,due [54] due,wkend [54] wkend,delay [54] delay,reporting Top Word Pairs in Tweet in G6:
[311] difference,shocking [311] shocking,#covid19uk [311] #covid19uk,#borisresign [311] #borisresign,#jacindaardern Top Word Pairs in Tweet in G7:
[209] parliament,between [209] between,1987 [209] 1987,2015 [209] 2015,regularly [209] regularly,warned [209] warned,against [209] against,slow [209] slow,spread [209] spread,#euthanasia [209] #euthanasia,britain Top Word Pairs in Tweet in G8:
[155] absolutely,remarkable [155] remarkable,here [155] here,piers [155] piers,morgan [155] morgan,ones [155] ones,definition [155] definition,left [155] left,berating [155] berating,bbc [155] bbc,coverage Top Word Pairs in Tweet in G9:
[45] shocking,irresponsible [45] irresponsible,reporting [45] reporting,skynews [45] skynews,subtly [45] subtly,puts [45] puts,blame [45] blame,passengers [45] passengers,workers [45] workers,msm [45] msm,doing Top Word Pairs in Tweet in G10:
[90] #coronavirusuk,#covid19uk [56] 40,000 [41] latest,#nhs [41] #nhs,patient [41] patient,confidentiality [41] confidentiality,threatened [41] threatened,cia [41] cia,linked [41] linked,surveillance [41] surveillance,firm Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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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 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 G9:
Top Tweeters in G10: