The graph represents a network of 5,663 Twitter users whose recent tweets contained "#NIH OR @NIH", 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 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 00:04 UTC.
The tweets in the network were tweeted over the 2451-day, 9-hour, 24-minute period from Friday, 29 April 2016 at 15:30 UTC to Sunday, 15 January 2023 at 00:54 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 : 5663
Unique Edges : 7220
Edges With Duplicates : 14276
Total Edges : 21496
Number of Edge Types : 9
Retweet : 3114
MentionsInRetweet : 7051
Replies to : 1302
MentionsInReplyTo : 5453
Mentions : 1721
MentionsInQuote : 1614
Quote : 336
Tweet : 445
MentionsInQuoteReply : 460
Self-Loops : 951
Reciprocated Vertex Pair Ratio : 0.0146513977770293
Reciprocated Edge Ratio : 0.0288796680497925
Connected Components : 107
Single-Vertex Connected Components : 57
Maximum Vertices in a Connected Component : 5412
Maximum Edges in a Connected Component : 21017
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.993328
Graph Density : 0.000375811979987716
Modularity : 0.416794
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,663 Twitter users whose recent tweets contained "#NIH OR @NIH", 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 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 00:04 UTC.
The tweets in the network were tweeted over the 2451-day, 9-hour, 24-minute period from Friday, 29 April 2016 at 15:30 UTC to Sunday, 15 January 2023 at 00:54 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 : #NIH OR @NIH
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:
[1152] loscharlos,nih [871] nih,study [785] sars,cov [726] indicated,severity [726] results,indicated [726] severity,sars [725] reinfections,similar [725] cov,reinfections [724] overall,results [724] study,reinfections Top Word Pairs in Tweet in G1:
[1129] loscharlos,nih [857] nih,study [761] sars,cov [716] severity,sars [716] indicated,severity [716] results,indicated [715] reinfections,similar [715] cov,reinfections [714] reinfections,overall [714] overall,results Top Word Pairs in Tweet in G2:
[100] cdcgov,nih [48] nih,cdcgov [46] nih,us_fda [40] #fda,#nih [39] cdcgov,cdcdirector [36] potus,vp [36] #billgates,#fauci [36] documentary,entire [36] us_fda,nih [36] #crimesagainsthumanity,presented Top Word Pairs in Tweet in G3:
[35] neidl,nih [35] bu_tweets,neidl [33] gregkoblentz,nature [22] nature,bu_tweets [14] long,covid [13] paper,omi [13] mutant,generated [13] nih,careful [13] generated,bu_tweets [13] omi,scv2 Top Word Pairs in Tweet in G4:
[10] cdcdirector,nih [10] capublichealth,lapublichealth [9] cdcgov,cdcdirector [9] dscc,dccc [8] ashishkjha,ronaldklain [8] danaparish,ashishkjha [8] ronaldklain,cdcdirector [8] potus,vp [8] nih,us_fda [7] irfandhalla,cdcgov Top Word Pairs in Tweet in G5:
[8] brain,initiative [7] learn,more [6] intramural,blog [6] usbrainalliance,nih [6] #nih,intramural [5] fact,persistent [5] demaegd,both [5] persistent,symptoms [5] brain,fog [5] symptoms,brain Top Word Pairs in Tweet in G6:
[30] peta,breaking [29] primate,center [29] died,head [29] tailed,macaque [29] head,trapped [29] macaque,tulane [29] breaking,endangered [29] trapped,between [29] metal,bar [29] center,died Top Word Pairs in Tweet in G7:
[5] icmrdelhi,icmr_niv [3] congrats,fitz_gillian [3] nih,joslindiabetes [3] thread,discoveries [3] discoveries,below [3] fitz_gillian,crew [3] crew,one [3] huge,congrats [3] gill,offers [3] one,gill Top Word Pairs in Tweet in G8:
[75] ton,excellent [75] track,hires [75] hires,assistant [75] professor,rank [75] rank,beautiful [75] job,ad [75] live,tenure [75] ad,live [75] beautiful,mexico [75] tenure,track Top Word Pairs in Tweet in G9:
[2] menshealthmag,menshealthforum [2] better,2023 [2] nih,health_com_ [2] oquila30,gmail [2] specialolympics,olympics [2] fifacom,usopen [2] holistic,approach [2] olympics,hbcubuzz [2] theyardhbcu,nih [2] uvamenshoops,menshealthmag Top Word Pairs in Tweet in G10:
[5] associate,professor [4] profit,business [4] private,profit [4] cofounded,jmcoller [4] ironically,jeff [4] tevardb,cofounded [4] jeff,associate [4] jmcoller,private [4] business,ironically [3] witchdrtim,tevardb Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G6:
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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:
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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:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: