The graph represents a network of 8,652 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, 26 November 2022 at 02:41 UTC.
The requested start date was Saturday, 26 November 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 5-day, 3-hour, 49-minute period from Sunday, 20 November 2022 at 17:38 UTC to Friday, 25 November 2022 at 21:27 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 : 8652
Unique Edges : 7042
Edges With Duplicates : 14325
Total Edges : 21367
Number of Edge Types : 5
Mentions : 5788
Replies to : 1259
Retweet : 5169
MentionsInRetweet : 8273
Tweet : 878
Self-Loops : 984
Reciprocated Vertex Pair Ratio : 0.0205456095481671
Reciprocated Edge Ratio : 0.0402639712638877
Connected Components : 810
Single-Vertex Connected Components : 290
Maximum Vertices in a Connected Component : 5970
Maximum Edges in a Connected Component : 17814
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.010006
Graph Density : 0.000159936507437722
Modularity : 0.505774
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,652 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, 26 November 2022 at 02:41 UTC.
The requested start date was Saturday, 26 November 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 5-day, 3-hour, 49-minute period from Sunday, 20 November 2022 at 17:38 UTC to Friday, 25 November 2022 at 21:27 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:
[436] bacterial,pathogens [339] pathogens,2019 [304] lung,cancer [268] 33,bacterial [264] cause,death [245] leading,cause [236] associated,33 [224] mortality,associated [224] global,mortality [223] covid,19 Top Word Pairs in Tweet in G1:
[211] cause,death [207] leading,cause [155] 2nd,leading [137] infections,2nd [137] 2019,linked [136] antimicrobial,resistance [135] bacterial,pathogens [123] deaths,globally [120] thelancet,published [120] around,world Top Word Pairs in Tweet in G2:
[26] burden,disease [26] global,burden [26] disease,study [26] study,2019 [26] analysis,global [26] systematic,analysis [25] mortality,associated [25] associated,33 [25] bacterial,pathogens [25] global,mortality Top Word Pairs in Tweet in G3:
[9] sars,cov [7] against,sars [7] effectiveness,against [7] fully,vaccinated [7] cov,infections [7] infections,73 [6] vaccinated,individuals [6] covid,19 [6] individuals,effectiveness [5] related,hospital Top Word Pairs in Tweet in G4:
[77] rsv,flu [77] papers,co [77] co,infection [75] lung,development [75] infection,during [75] fetal,lung [75] during,pregnancy [75] covid,infection [64] more,severe [64] pregnancy,affects Top Word Pairs in Tweet in G5:
[151] positive,monde [151] avançons,ensemble [151] fait,différence [151] ce,faisons [151] sachant,ce [151] ensemble,sachant [151] dit,l'article [151] monde,dit [151] différence,positive [151] faisons,fait Top Word Pairs in Tweet in G6:
[301] lung,cancer [149] doctors,thephfi [149] 2012,non [149] smokers,younger [149] patients,2012 [149] younger,age [149] 50,lung [149] age,groups [149] cancer,doctors [149] getting,lung Top Word Pairs in Tweet in G7:
[102] solid,tumors [51] placebo,alone [49] alone,produce [49] regression,placebo [49] hot,press [49] response,solid [49] press,solid [49] produce,response [49] spontaneous,regression [49] undergo,spontaneous Top Word Pairs in Tweet in G8:
[61] type,#diabetes [40] #free,read [35] december,issue [26] #t1d,#free [25] #teplizumab,milestone [25] fda,approves [25] approves,#teplizumab [25] #diabetes,#t1d [25] milestone,type [24] read,registrat Top Word Pairs in Tweet in G9:
[174] recognize,compensation [174] care,purely [174] purely,altruistic [174] compensation,crucial [174] vocation,recognize [174] health,care [174] grow,notion [174] notion,health [174] altruistic,vocation [173] jpgrobredo,grow Top Word Pairs in Tweet in G10:
[60] forbes_es,afpfactual [60] europapress,euronewses [60] euronewses,france24_es [60] france24_es,forbes_es [52] datoworld,the_newarab [52] afpfactual,datoworld [52] the_newarab,livdose [48] livdose,thelancet [32] reuters,prensalibreonli [32] ipsnoticias,corresponsables Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: