The graph represents a network of 4,679 Twitter users whose recent tweets contained "jama_current", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 12:13 UTC.
The tweets in the network were tweeted over the 2148-day, 7-hour, 1-minute period from Saturday, 11 February 2017 at 17:16 UTC to Saturday, 31 December 2022 at 00:18 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4679
Unique Edges : 4981
Edges With Duplicates : 13562
Total Edges : 18543
Number of Edge Types : 9
Retweet : 3441
MentionsInRetweet : 6488
MentionsInReplyTo : 5381
Replies to : 945
Mentions : 1742
MentionsInQuote : 257
Quote : 73
Tweet : 124
MentionsInQuoteReply : 92
Self-Loops : 461
Reciprocated Vertex Pair Ratio : 0.026006528835691
Reciprocated Edge Ratio : 0.0506946653939972
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 4675
Maximum Edges in a Connected Component : 18513
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.710884
Graph Density : 0.000430776866720315
Modularity : 0.355831
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,679 Twitter users whose recent tweets contained "jama_current", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 12:13 UTC.
The tweets in the network were tweeted over the 2148-day, 7-hour, 1-minute period from Saturday, 11 February 2017 at 17:16 UTC to Saturday, 31 December 2022 at 00:18 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[539] long,covid [510] endothelial,dysfunction [509] micro,clots [506] epidemiology,jama_current [506] clots,endothelial [506] proves,#longcovid [506] covid,plus [506] dysfunction,long [506] plus,epidemiology [506] jama_current,proves Top Word Pairs in Tweet in G1:
[421] excelente,revisión [257] publicado,jama_current [255] 14mg,etiología [255] leve,lt [255] revisión,tema [255] gt,14mg [255] severa,gt [255] jama_current,excelente [255] lt,12mg [255] recién,publicado Top Word Pairs in Tweet in G2:
[498] long,covid [494] endothelial,dysfunction [493] micro,clots [490] clots,endothelial [490] jama_current,proves [490] dysfunction,long [490] epidemiology,jama_current [490] plus,epidemiology [490] proves,#longcovid [490] covid,plus Top Word Pairs in Tweet in G3:
[310] jama_current,part [297] part,jamanetwork [97] covid,19 [74] jama_current,jamanetwork [33] critically,ill [31] urgent,need [30] term,outcomes [29] outcomes,critically [26] remap_cap,jama_current [24] long,term Top Word Pairs in Tweet in G4:
[82] resultados,revista [82] 1er,acto [82] 2º,acto [82] necesitan,publicarse [82] vacuna,necesitan [82] revista,reconocida [82] acto,thelancet [82] validar,vacuna [82] acto,validar [82] reconocida,2º Top Word Pairs in Tweet in G5:
[189] health,care [189] care,workers [183] unionizing,asked [183] benefit,unionizing [183] asked,myself [183] workers,benefit [183] ago,wanted [183] myself,nearly [183] wanted,investigate [183] years,ago Top Word Pairs in Tweet in G6:
[48] cdcgov,jenabbasi [40] jama_current,cdcgov [28] parents,paxlovid [27] definitely,shouldn [27] hoping,jama_current [27] shouldn,hard [27] piece,helps [27] hard,hoping [27] jama_current,piece [27] paxlovid,definitely Top Word Pairs in Tweet in G7:
[42] guardian,cobratate [42] bloomberg,buzzfeednews [42] gizmodo,williamturton [42] axios,bbc [42] buzzfeednews,cnn [42] theindependent,insider [42] brian_chovanec,quantumobserver [42] thehill,huffpost [42] insider,theintercept [42] foxnews,gizmodo Top Word Pairs in Tweet in G8:
[67] adolescents,reported [67] adverse,experience [67] such,abuse [67] reported,adverse [67] experience,such [66] childhood,experiences [66] experiences,ace [66] ace,adolescents [66] adverse,childhood [65] monicagandhi9,adverse Top Word Pairs in Tweet in G9:
[49] million,clinicians [43] largest,value [43] value,based [43] based,payment [40] system,influences [40] influences,million [40] clinicians,today [40] today,jama_current [40] payment,system [40] mips,medicare Top Word Pairs in Tweet in G10:
[14] medical,jargon [14] heard,instead [14] many,meningitis [14] become,'black [14] meningitis,heard [14] box',medical [14] letting,become [14] 'black,box' [14] instead,letting [13] love,series Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: