The graph represents a network of 8,839 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, 24 October 2020 at 00:57 UTC.
The requested start date was Saturday, 24 October 2020 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, 18-hour, 2-minute period from Tuesday, 20 October 2020 at 16:07 UTC to Friday, 23 October 2020 at 10:10 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 : 8839
Unique Edges : 9263
Edges With Duplicates : 12909
Total Edges : 22172
Number of Edge Types : 5
Mentions : 4909
Retweet : 5059
MentionsInRetweet : 9933
Replies to : 1317
Tweet : 954
Self-Loops : 1005
Reciprocated Vertex Pair Ratio : 0.0146053006554574
Reciprocated Edge Ratio : 0.0287901130538586
Connected Components : 852
Single-Vertex Connected Components : 376
Maximum Vertices in a Connected Component : 6303
Maximum Edges in a Connected Component : 18416
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.159864
Graph Density : 0.000182298609192566
Modularity : 0.521087
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,839 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, 24 October 2020 at 00:57 UTC.
The requested start date was Saturday, 24 October 2020 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, 18-hour, 2-minute period from Tuesday, 20 October 2020 at 16:07 UTC to Friday, 23 October 2020 at 10:10 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:
[592] covid,19 [576] nejm,thelancet [560] jama_current,nejm [436] danish,study [423] publish,danish [407] thelancet,publish [402] public,health [398] alexberenson,hey [398] hey,jama_current [398] study,make Top Word Pairs in Tweet in G1:
[569] nejm,thelancet [557] jama_current,nejm [431] danish,study [400] thelancet,publish [400] publish,danish [395] alexberenson,hey [395] hey,jama_current [395] study,make [395] make,reason [395] reason,later Top Word Pairs in Tweet in G2:
[296] quietly,dropped [296] dropped,thelancet [296] thelancet,days [296] days,ago [296] ago,joining [296] joining,voices [296] public,health [295] rheaboydmd,quietly [294] voices,medicine [294] medicine,public Top Word Pairs in Tweet in G3:
[36] #covid,19 [30] covid,19 [25] research,article [23] modelling,study [21] learn,more [21] colleagues,review [21] sub,saharan [20] stefano,prato [20] prato,colleagues [20] review,#covid Top Word Pairs in Tweet in G4:
[95] covid,19 [27] sars,cov [24] 19,pandemic [16] adenovirus,type [14] scientific,consensus [13] pandemic,need [13] need,act [12] use,adenovirus [12] type,vectored [12] cautionary,tale Top Word Pairs in Tweet in G5:
[187] risk,factors [175] high,blood [169] #gbdstudy,ihme_uw [169] blood,pressure [163] top,risk [163] factors,death [163] 2019,#gbdstudy [163] pressure,dietary [163] dietary,risks [162] thelancet,top Top Word Pairs in Tweet in G6:
[86] richardhorton1,thelancet [57] calla,noooo [57] thelancet,gestión [56] viva,españaaaaa [56] españaaaaa,calla [56] noooo,richardhorton1 [56] gestión,española [56] española,covid [55] raholaoficial,viva [55] covid,catást Top Word Pairs in Tweet in G7:
[44] use,disorder [40] covid,19 [34] care,homes [34] cannabis,use [30] treating,hypertension [25] meta,analysis [23] inaugural,issue [20] lonschneidermd,alistair [20] alistair,burns [20] burns,reporting Top Word Pairs in Tweet in G8:
[131] open,letter [130] dr2nisreenalwan,thelancet [122] thelancet,open [122] letter,signed [122] signed,gt [122] gt,800 [122] 800,scientists [122] scientists,researchers [122] researchers,healthcare [122] healthcare,professionals Top Word Pairs in Tweet in G9:
[244] kf0114,医師です [244] 医師です,シフト勤務は [244] シフト勤務は,乳がん [244] 乳がん,前立腺がん [244] 前立腺がん,大腸がんのリスクと疑われていますね [244] 大腸がんのリスクと疑われていますね,例えば [244] 例えば,シフト勤務続きのキャビンアテンダントさんでは乳がんが多いと報告されます [244] シフト勤務続きのキャビンアテンダントさんでは乳がんが多いと報告されます,シフト勤務の影響による不眠に悩まれている方は [243] s96405539,kf0114 [243] シフト勤務の影響による不眠に悩まれている方は,早めに病院を受診されるのが Top Word Pairs in Tweet in G10:
[75] nature,thelancet [71] sciam,nejm [71] nejm,nature [71] thelancet,sciencemagazine [61] looks,scientists [61] scientists,heels [61] heels,sciam [60] vincentrk,looks [20] thelancet,nejm [18] jamanetwork,thelancet Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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