The graph represents a network of 5,083 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, 11 April 2020 at 10:08 UTC.
The requested start date was Saturday, 11 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 7-day, 15-hour, 50-minute period from Friday, 03 April 2020 at 00:10 UTC to Friday, 10 April 2020 at 16:01 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 : 5083
Unique Edges : 10278
Edges With Duplicates : 2861
Total Edges : 13139
Number of Edge Types : 4
MentionsInRetweet : 7907
Replies to : 838
Mentions : 4311
Tweet : 83
Self-Loops : 83
Reciprocated Vertex Pair Ratio : 0.0168210848250427
Reciprocated Edge Ratio : 0.0330856334041047
Connected Components : 36
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 4998
Maximum Edges in a Connected Component : 13053
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.687722
Graph Density : 0.000437600065593556
Modularity : 0.52418
NodeXL Version : 1.0.1.430
Data Import : The graph represents a network of 5,083 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, 11 April 2020 at 10:08 UTC.
The requested start date was Saturday, 11 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 7-day, 15-hour, 50-minute period from Friday, 03 April 2020 at 00:10 UTC to Friday, 10 April 2020 at 16:01 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:
[1094] toux,éternuement [1093] gouttelettes,sont [1093] sont,projetées [1093] projetées,lors [1093] lors,toux [1092] vidéo,jama_current [1092] jama_current,gouttelettes [1092] éternuement,selon [1092] selon,auteurs [1091] philippejuvin,vidéo Top Word Pairs in Tweet in G1:
[1092] toux,éternuement [1091] projetées,lors [1090] vidéo,jama_current [1090] jama_current,gouttelettes [1090] gouttelettes,sont [1090] sont,projetées [1090] lors,toux [1090] éternuement,selon [1090] selon,auteurs [1089] philippejuvin,vidéo Top Word Pairs in Tweet in G2:
[203] paper,jama_current [192] icu,patients [183] characteristics,outcomes [177] #covid19,icu [166] median,age [165] age,63 [159] outcomes,#covid19 [158] jama_current,characteristics [158] patients,italy [158] italy,1591 Top Word Pairs in Tweet in G3:
[87] saadomer3,preetinmalani [76] jama_current,piece [74] jama_current,#covid19 [73] today,saadomer3 [73] preetinmalani,publishing [73] publishing,jama_current [73] #covid19,update [73] update,clinicians [72] carlosdelrio7,today [56] covid,19 Top Word Pairs in Tweet in G4:
[75] baseline,characteristics [68] covid,19 [56] respiratory,support [55] icu,admissions [53] latest,report [53] report,covid [53] 19,icu [53] admissions,baseline [53] characteristics,respiratory [53] support,initial Top Word Pairs in Tweet in G5:
[97] cdcgov,jama_current [90] quick,start [90] start,#covid19 [89] #covid19,physician [89] physician,guide [89] guide,curated [89] curated,comprehensive [89] comprehensive,cdcgov [89] jama_current,resources [83] amermedicalassn,quick Top Word Pairs in Tweet in G6:
[112] cartabellotta,jama_current [84] distanza,sicurezza [82] #covidー19,rivalutare [82] rivalutare,distanza [82] sicurezza,#jama [82] #jama,ragionevole [82] ragionevole,ipotesi [82] ipotesi,trasmissione [82] trasmissione,#coronavirus [82] #coronavirus,possa Top Word Pairs in Tweet in G7:
[69] drjoshs,jama_current [57] public,health [45] health,response [45] national,service [45] service,program [44] posted,scale [44] scale,public [44] response,#covidー19 [44] #covidー19,national [43] drjoshs,posted Top Word Pairs in Tweet in G8:
[82] #sarscov2,#covid_19 [82] #covid_19,mortalidad [82] mortalidad,alta [82] alta,10 [82] 10,baja [82] baja,pcr [82] pcr,gold [82] gold,standar [82] standar,desconoce [81] almagoch,#sarscov2 Top Word Pairs in Tweet in G9:
[49] covid,19 [31] 19,infection [31] infection,renin [31] renin,angiotensin [31] angiotensin,system [31] system,blockers [31] blockers,jama_current [31] jama_current,further [31] further,epidemiological [31] epidemiological,studies Top Word Pairs in Tweet in G10:
[63] mean,nutshell [63] nutshell,means [63] means,10 [63] 10,patients [63] patients,virus [63] virus,still [63] still,detectable [62] lucasmorin_eolc,mean [21] vassykapelos,jama_current [11] thesgem,vassykapelos Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 G8:
Top Replied-To in G9:
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:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: