The graph represents a network of 5,623 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 20 February 2023 at 00:03 UTC.
The tweets in the network were tweeted over the 1928-day, 13-hour, 41-minute period from Wednesday, 08 November 2017 at 11:05 UTC to Sunday, 19 February 2023 at 00:47 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 : 5623
Unique Edges : 7365
Edges With Duplicates : 15363
Total Edges : 22728
Number of Edge Types : 9
Retweet : 3269
MentionsInRetweet : 7172
MentionsInReplyTo : 6977
Replies to : 1103
Mentions : 1681
Quote : 264
Tweet : 371
MentionsInQuote : 1035
MentionsInQuoteReply : 856
Self-Loops : 779
Reciprocated Vertex Pair Ratio : 0.0187161246612466
Reciprocated Edge Ratio : 0.0367445340427301
Connected Components : 109
Single-Vertex Connected Components : 57
Maximum Vertices in a Connected Component : 5331
Maximum Edges in a Connected Component : 22178
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.036573
Graph Density : 0.000380513964947923
Modularity : 0.399795
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,623 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 20 February 2023 at 00:03 UTC.
The tweets in the network were tweeted over the 1928-day, 13-hour, 41-minute period from Wednesday, 08 November 2017 at 11:05 UTC to Sunday, 19 February 2023 at 00:47 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:
[514] postdoctoral,trainee [514] trainee,community [513] retention,postdoctoral [513] affecting,retention [513] input,challenges [513] challenges,affecting [507] seeking,input [505] community,better [487] better,understanding [484] #nih,seeking Top Word Pairs in Tweet in G1:
[444] seeking,input [444] postdoctoral,trainee [443] better,understanding [443] input,challenges [443] challenges,affecting [443] community,better [443] trainee,community [443] affecting,retention [443] retention,postdoctoral [442] #nih,seeking Top Word Pairs in Tweet in G2:
[218] idsainfo,nih [218] amermedicalassn,idsainfo [195] early,therapeutics [195] therapeutics,including [195] 2020,intentionally [195] intentionally,suppressed [195] suppressed,early [195] including,amermedicalassn [195] promoters,2020 [195] #covidvaccine,promoters Top Word Pairs in Tweet in G3:
[153] debunk_the_funk,jaredpretender [153] pathogenetics,florin_uncovers [153] florin_uncovers,debunk_the_funk [153] jaredpretender,mentju4 [153] mentju4,robertwager1 [153] thecryptonaut2,pathogenetics [152] robertwager1,biophysicsfl [152] tomahawkvphd,nih [152] nih,peterdaszak [152] greg21143362,tomahawkvphd Top Word Pairs in Tweet in G4:
[102] state,postdoctoral [101] current,state [101] progression,within [101] training,career [101] career,progression [101] research,training [101] postdoctoral,research [101] thoughts,current [100] dbrwdirector,thoughts [99] within,bi Top Word Pairs in Tweet in G5:
[74] receive,more [73] more,million [71] tax,money [71] million,tax [68] found,evidence [68] people,#longcovid [68] particles,brains [68] #longcovid,virus [68] brains,people [68] study,conducted Top Word Pairs in Tweet in G6:
[129] case,study [116] harvardmpa1,harvardmed [97] postdoc,case [97] online,naturebiotech [97] postdocs,online [97] harvardmed,1200 [97] share,postdoc [97] proud,share [97] study,harvardmpa1 [97] 1200,postdocs Top Word Pairs in Tweet in G7:
[12] virchowbund,hartmannbund [11] dzienus,xsarahleee [11] matthiasgastel,annachristmann [11] android,marburger_bund [11] nih,dzienus [11] deborahduering,matthiasgastel [11] jtrittin,renatekuenast [11] xsarahleee,terryreintke [11] samsungnewsroom,samsunghealth [11] maik_aussendorf,cem_oezdemir Top Word Pairs in Tweet in G8:
[10] folicacidb9,unc [10] phrma,bmj_latest [10] cdcdirector,phrma [10] nih,cdcdirector [10] unc,uncpublichealth [10] uncpublichealth,nih [6] nih,unc [5] niacinglutamine,folicacidb9 [4] areas,unfiltered [4] tigray's,remote Top Word Pairs in Tweet in G9:
[21] #nih,#fda [13] #dod,#dtra [11] #moderna,#pfizer [11] #pfizer,evil [11] #purebloods,warned [11] evil,entities [11] #dtra,#darpa [11] entities,more [11] #hhs,#nih [11] more,evil Top Word Pairs in Tweet in G10:
[19] nih,#covid19 [18] #covid19,vaccine [17] misleading,moderna_tx [17] away,upcharging [17] title,misleading [17] backed,away [17] upcharging,nih [17] moderna_tx,backed [16] patient,today [16] help,apheresis Top Replied-To in Entire Graph:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G10: