The graph represents a network of 6,411 Twitter users whose tweets in the requested range contained "jama_current", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 16 January 2021 at 12:10 UTC.
The requested start date was Saturday, 16 January 2021 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 23-day, 16-hour, 16-minute period from Wednesday, 23 December 2020 at 07:04 UTC to Friday, 15 January 2021 at 23:20 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 : 6411
Unique Edges : 9420
Edges With Duplicates : 14473
Total Edges : 23893
Number of Edge Types : 5
Mentions : 9679
Replies to : 1414
Retweet : 4384
MentionsInRetweet : 8315
Tweet : 101
Self-Loops : 234
Reciprocated Vertex Pair Ratio : 0.0408177265555327
Reciprocated Edge Ratio : 0.0784339572897443
Connected Components : 51
Single-Vertex Connected Components : 22
Maximum Vertices in a Connected Component : 6211
Maximum Edges in a Connected Component : 23593
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.874622
Graph Density : 0.000369197734685241
Modularity : 0.405985
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 6,411 Twitter users whose tweets in the requested range contained "jama_current", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 16 January 2021 at 12:10 UTC.
The requested start date was Saturday, 16 January 2021 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 23-day, 16-hour, 16-minute period from Wednesday, 23 December 2020 at 07:04 UTC to Friday, 15 January 2021 at 23:20 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 : jama_current
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:
[1390] jama_current,part [1184] part,jamanetwork [977] covid,19 [461] sars,cov [427] jama_current,jamanetwork [361] genetic,variants [342] variants,sars [255] cov,mean [241] importancia,uso [241] uso,masivo Top Word Pairs in Tweet in G1:
[201] jama_current,part [185] covid,19 [130] part,jamanetwork [59] sars,cov [56] health,care [45] list,pandemic [42] pandemic,chores [40] jama_current,par [40] chores,kids [40] today,jama_current Top Word Pairs in Tweet in G2:
[711] jama_current,part [690] part,jamanetwork [239] covid,19 [191] jama_current,jamanetwork [146] sars,cov [133] genetic,variants [120] variants,sars [118] cov,mean [90] través,jama_current [90] mean,jama_current Top Word Pairs in Tweet in G3:
[221] covid,19 [200] jama_current,part [144] part,jamanetwork [117] jama_current,jamanetwork [79] public,health [70] sars,cov [55] physicians,deal [51] genetic,variants [50] variants,sars [49] #covid19,resource Top Word Pairs in Tweet in G4:
[190] time,stop [190] v2,variants [190] #sarscov2,strains [182] stop,causing [182] causing,501y [182] 501y,v2 [182] variants,fulfill [182] fulfill,criteria [182] criteria,#sarscov2 [182] strains,clear Top Word Pairs in Tweet in G5:
[234] importancia,uso [234] uso,masivo [234] masivo,pruebas [234] pruebas,resume [234] resume,50 [234] 50,contagios [234] contagios,dan [234] dan,personas [234] personas,asintomáticas [233] ayudamedicamx,importancia Top Word Pairs in Tweet in G6:
[117] nejm,jama_current [76] #cannabis,#medicine [69] #medicine,#patients [64] #patients,#doctors [53] nsgypodcast,brainspinegroup [53] brainspinegroup,youngneuros [53] youngneuros,nejm [50] jama_current,brenebrown [45] onlylyonsroar,nsgypodcast [39] #doctors,nejm Top Word Pairs in Tweet in G7:
[24] first,author [21] howardbauchner,jama_current [19] listen,podcast [19] podcast,howardbauchner [17] related,diagnoses [16] shows,rates [15] #opioid,related [14] study,jama_current [14] jama_current,shows [14] jama_current,part Top Word Pairs in Tweet in G8:
[78] crohn,disease [77] disease,overview [77] overview,differential [77] differential,diagnoses [77] diagnoses,jama_current [76] drkeithsiau,crohn [64] covid,19 [36] sars,cov [30] genetic,variants [30] variants,sars Top Word Pairs in Tweet in G9:
[143] jama_current,cdcgov [141] cdcgov,ecdc_outbreaks [130] philippejuvin,jama_current [13] cdcgov,#covid19 [12] another,reason [12] reason,need [12] need,fast [12] fast,frequent [12] frequent,cheap [12] cheap,easy Top Word Pairs in Tweet in G10:
[25] jama_current,part [22] part,jamanetwork [20] aortic,aneurysm [20] aneurysm,formation [17] covid,19 [17] absteward,large [17] large,cohort [17] cohort,study [17] study,jamasurgery [17] jamasurgery,fluoroquinolones 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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Top Tweeters in G10: