The graph represents a network of 8,596 Twitter users whose tweets in the requested range contained "thelancet", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 27 August 2022 at 01:39 UTC.
The requested start date was Saturday, 27 August 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 3-day, 19-hour, 18-minute period from Tuesday, 23 August 2022 at 02:12 UTC to Friday, 26 August 2022 at 21:31 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 : 8596
Unique Edges : 6319
Edges With Duplicates : 14292
Total Edges : 20611
Number of Edge Types : 5
Tweet : 855
Retweet : 5548
MentionsInRetweet : 8347
Replies to : 1012
Mentions : 4849
Self-Loops : 942
Reciprocated Vertex Pair Ratio : 0.0169402264548407
Reciprocated Edge Ratio : 0.0333160711203176
Connected Components : 789
Single-Vertex Connected Components : 320
Maximum Vertices in a Connected Component : 6283
Maximum Edges in a Connected Component : 17716
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.947016
Graph Density : 0.000156816312144859
Modularity : 0.511925
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,596 Twitter users whose tweets in the requested range contained "thelancet", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 27 August 2022 at 01:39 UTC.
The requested start date was Saturday, 27 August 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 3-day, 19-hour, 18-minute period from Tuesday, 23 August 2022 at 02:12 UTC to Friday, 26 August 2022 at 21:31 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 : GraphServerTwitterSearch
Graph Term : thelancet
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[568] covid,19 [232] prospective,study [224] risk,factors [221] healthy,males [220] #longcovid,young [220] young,median [220] median,age [220] age,21 [220] 21,healthy [220] males,93 Top Word Pairs in Tweet in G1:
[210] #meded,#medtwitter [160] #medtwitter,#gitwitter [139] risk,factors [127] irritable,bowel [127] bowel,syndrome [115] syndrome,thelancet [115] thelancet,#ibs [115] #ibs,#meded [114] vijayselvarajmd,irritable [70] cancer,deaths Top Word Pairs in Tweet in G2:
[195] risk,cognitive [194] million,people [194] dementia,epilepsy [193] thelancetpsych,study [193] study,million [193] people,shows [193] shows,#covid [193] #covid,increases [193] increases,risk [193] cognitive,decline Top Word Pairs in Tweet in G3:
[200] healthy,males [199] prospective,study [199] study,#longcovid [199] #longcovid,young [199] young,median [199] median,age [199] age,21 [199] 21,healthy [199] males,93 [199] 93,controls Top Word Pairs in Tweet in G4:
[36] covid,19 [20] tomato,flu [16] global,burden [15] sars,cov [14] flu,outbreak [14] outbreak,india [13] cohort,study [10] lancet,infectious [10] infectious,diseases [10] risk,factors Top Word Pairs in Tweet in G5:
[37] potus,secblinken [37] secblinken,josepborrellf [37] josepborrellf,antonioguterres [24] lotteleicht1,nationafrica [22] international,community [22] community,see [22] see,abiy [21] alogen10,potus [21] antonioguterres,#tigraycantwaitanylonger [21] #tigraycantwaitanylonger,lotteleicht1 Top Word Pairs in Tweet in G6:
[47] shed,infectious [44] covid,19 [43] symptom,onset [41] cases,shed [37] nirmatrelvir,ritonavir [37] #covid19,cases [36] infectious,virus [34] world,effectiveness [34] effectiveness,early [34] before,symptom Top Word Pairs in Tweet in G7:
[7] covid,19 [4] death,reports [4] betgamecouncil,racingpost [3] stevenwilson777,stephen1e4 [3] 14,million [3] lancet,paper [3] paper,led [3] led,analysing [3] analysing,government [3] government,pandemic Top Word Pairs in Tweet in G8:
[118] ecco,pubblicazione [118] pubblicazione,sul [118] sul,lancet [118] lancet,dello [118] dello,studio [118] studio,mario [118] mario,negri [118] negri,ci [118] ci,dà [118] dà,ragione Top Word Pairs in Tweet in G9:
[170] seems,pretty [170] pretty,clear [169] kendberrymd,seems [45] time,retract [45] retract,2019 [45] 2019,global [45] global,burden [45] burden,disease [45] disease,risk [45] risk,factor Top Word Pairs in Tweet in G10:
[167] #longcovid,síntomas [167] síntomas,#neurológicos [167] #neurológicos,todavía [167] todavía,persisten [167] persisten,haber [167] haber,tenido [167] tenido,#covid [166] sandralopezleon,#longcovid [166] #covid,trastorn [23] doc,feet 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 G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: