The graph represents a network of 5,697 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, 04 April 2020 at 00:07 UTC.
The requested start date was Saturday, 04 April 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 1-day, 10-hour, 10-minute period from Thursday, 02 April 2020 at 05:33 UTC to Friday, 03 April 2020 at 15:43 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 : 5697
Unique Edges : 8045
Edges With Duplicates : 2247
Total Edges : 10292
Number of Edge Types : 4
Mentions : 2943
Replies to : 635
MentionsInRetweet : 5994
Tweet : 720
Self-Loops : 720
Reciprocated Vertex Pair Ratio : 0.0154894671623296
Reciprocated Edge Ratio : 0.0305064063453325
Connected Components : 697
Single-Vertex Connected Components : 338
Maximum Vertices in a Connected Component : 3859
Maximum Edges in a Connected Component : 8386
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.076111
Graph Density : 0.000252541501243509
Modularity : 0.693021
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 5,697 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, 04 April 2020 at 00:07 UTC.
The requested start date was Saturday, 04 April 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 1-day, 10-hour, 10-minute period from Thursday, 02 April 2020 at 05:33 UTC to Friday, 03 April 2020 at 15:43 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:
[930] covid,19 [359] sars,cov [248] richardhorton1,covid [248] 19,uk [246] uk,actions [246] actions,reform [246] reform,leadership [246] leadership,urgently [246] urgently,address [246] address,nhs Top Word Pairs in Tweet in G1:
[141] policy,makers [134] international,coalition [131] scientists,physicians [117] #covid19,pandemic [98] responding,#covid19 [96] editorial,responding [96] #covid19,policy [96] makers,consider [96] consider,risk [96] risk,deepening Top Word Pairs in Tweet in G2:
[284] covid,19 [237] richardhorton1,covid [235] 19,uk [235] uk,actions [235] actions,reform [235] reform,leadership [235] leadership,urgently [235] urgently,address [235] address,nhs [235] nhs,variability Top Word Pairs in Tweet in G3:
[114] covid,19 [27] sars,cov [23] 19,pandemic [16] coronavirus,disease [16] disease,2019 [13] public,health [12] estimates,severity [11] severity,coronavirus [11] 2019,model [11] model,based Top Word Pairs in Tweet in G4:
[71] bbcnews,piersmorgan [50] thebma,thelancet [49] nhsengland,thebma [47] piersmorgan,nhsengland [47] ianlabour,solive1902 [47] solive1902,bbcnews [43] ianlabour,bbcnews [40] shahmiruk,shamiruk [40] shamiruk,peterjukes [40] peterjukes,mvdct Top Word Pairs in Tweet in G5:
[26] research,article [20] covid,19 [20] case,fatality [19] patient,perspective [19] perspective,andy [19] andy,cooke [19] cooke,56 [19] 56,year [19] year,old [19] old,chief Top Word Pairs in Tweet in G6:
[86] guidelines,during [49] cancer,guidelines [43] #covid19,pandemic [40] thelancetoncol,cancer [40] during,#covidー19 [40] #covidー19,pandemic [40] pandemic,great [40] great,commentary [40] commentary,asco [39] sars,cov Top Word Pairs in Tweet in G7:
[8] nejm,thelancet [5] thelancet,jama_current [4] covid,19 [4] cmo_england,uksciencechief [4] #prosecutejohsonvallancewhitty,#coronauk [4] imperialcollege,thelancet [4] thelancet,#herdimmunityismurder [4] thelancet,bmj_latest [4] case,fatality [4] fatality,rate Top Word Pairs in Tweet in G8:
[46] #covid19,comment [46] comment,suggests [46] suggests,early [46] early,comparisons [46] comparisons,between [46] between,number [46] number,cases [46] cases,worst [46] worst,affected [46] affected,european Top Word Pairs in Tweet in G9:
[85] sars,cov [85] cov,infection [83] guillain,barré [83] barré,syndrome [83] syndrome,associated [83] associated,sars [83] infection,causality [83] causality,coincidence [72] #covid19,guillain [71] thelancetneuro,#covid19 Top Word Pairs in Tweet in G10:
[100] 基本,無症状及び軽傷の人を100 [100] 無症状及び軽傷の人を100,補足はできず [100] 補足はできず,かつ市民全員を外出禁止にはできない以上 [100] かつ市民全員を外出禁止にはできない以上,みんながマスクをする [100] みんながマスクをする,マス [100] マス,マスキング [100] マスキング,は感染拡大防止に有効という論考 [100] は感染拡大防止に有効という論考,布マスクも [100] 布マスクも,そう馬鹿にするものではなく [100] そう馬鹿にするものではなく,政府が Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G4:
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Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: