The graph represents a network of 7,598 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, 02 July 2022 at 01:40 UTC.
The requested start date was Saturday, 02 July 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 2-day, 7-hour, 52-minute period from Wednesday, 29 June 2022 at 13:38 UTC to Friday, 01 July 2022 at 21:30 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 : 7598
Unique Edges : 7005
Edges With Duplicates : 15959
Total Edges : 22964
Number of Edge Types : 5
Retweet : 5624
MentionsInRetweet : 10066
Tweet : 658
Mentions : 5537
Replies to : 1079
Self-Loops : 679
Reciprocated Vertex Pair Ratio : 0.0186050257731959
Reciprocated Edge Ratio : 0.0365304024669882
Connected Components : 567
Single-Vertex Connected Components : 236
Maximum Vertices in a Connected Component : 5918
Maximum Edges in a Connected Component : 20818
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.849742
Graph Density : 0.000219101879446116
Modularity : 0.458021
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,598 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, 02 July 2022 at 01:40 UTC.
The requested start date was Saturday, 02 July 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 2-day, 7-hour, 52-minute period from Wednesday, 29 June 2022 at 13:38 UTC to Friday, 01 July 2022 at 21:30 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:
[838] drtedros,thelancet [714] nhs,services [652] privatising,nhs [645] decline,quality [633] services,associated [631] deaths,treatable [628] quality,healthcare [627] healthcare,increasing [626] associated,decline [625] increasing,deaths Top Word Pairs in Tweet in G1:
[790] drtedros,thelancet [569] nhs,services [535] decline,quality [534] privatising,nhs [533] services,associated [533] associated,decline [533] quality,healthcare [533] healthcare,increasing [533] increasing,deaths [533] deaths,treatable Top Word Pairs in Tweet in G2:
[448] 42,53 [430] 53,patients [297] regarding,#longcovid [296] final,mic [296] mic,drop [296] drop,regarding [296] #longcovid,seroconversion [296] seroconversion,identified [296] identified,42 [295] gronnet,final Top Word Pairs in Tweet in G3:
[68] thelancetph,aaronsreeves [68] aaronsreeves,michaelmarmot [68] michaelmarmot,allysonpollock [68] allysonpollock,bennettinst [67] bengoodair,thelancetph [53] bennettinst,dspi_oxford [48] #roadsafety,series [47] road,safety [42] road,deaths [42] gwpublichealth,ccdh_gwsph Top Word Pairs in Tweet in G4:
[38] study,thelancetinfdis [35] largest,study [35] #covid19,vaccination [33] vaccination,saved [33] saved,million [33] million,lives [33] lives,2021 [33] 2021,alone [33] alone,according [33] according,study Top Word Pairs in Tweet in G5:
[376] richard,horton [185] editor,disgraced [185] disgraced,thelancet [185] thelancet,published [185] published,fake [185] fake,#surgisphere [185] #surgisphere,paper [185] paper,richard [185] horton,richard [184] jikkyleaks,editor Top Word Pairs in Tweet in G6:
[91] reforms,come [91] come,jury [91] jury,returns [91] returns,verdict [91] verdict,healthcare [91] healthcare,privatisation [91] privatisation,uk [91] uk,failing [91] failing,people [91] people,research Top Word Pairs in Tweet in G7:
[71] force,study [70] study,thelancet [66] thelancet,awesome [66] awesome,stuff [66] stuff,implement [66] implement,result [66] result,ed [66] ed,pathway [66] pathway,animations [66] mrdanperry,force Top Word Pairs in Tweet in G8:
[38] private,sector [35] treatable,mortality [32] health,care [28] covid,19 [28] care,services [24] 2013,20 [23] services,private [23] nhs,privatisation [22] outsourcing,health [22] observational,study Top Word Pairs in Tweet in G9:
[147] graph,clearer [147] clearer,privatisation [147] privatisation,kills [147] kills,pure [147] pure,simple [147] simple,research [147] research,thelancet [147] thelancet,morning [146] jon_trickett,graph [76] nhs,privatisation Top Word Pairs in Tweet in G10:
[219] ba,ba [216] subvariantes,ba [216] ba,presentan [216] presentan,capacidad [216] capacidad,evasión [216] evasión,inmunitaria [216] inmunitaria,laboratorio [216] laboratorio,anticuerpos [216] anticuerpos,vacuna [216] vacuna,pfizer Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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 G10: