The graph represents a network of 6,056 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 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 00:03 UTC.
The tweets in the network were tweeted over the 1749-day, 17-hour, 58-minute period from Sunday, 20 May 2018 at 07:00 UTC to Sunday, 05 March 2023 at 00:59 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 : 6056
Unique Edges : 7047
Edges With Duplicates : 13731
Total Edges : 20778
Number of Edge Types : 9
Retweet : 3422
MentionsInRetweet : 7339
Replies to : 957
MentionsInReplyTo : 4478
Mentions : 1737
Tweet : 452
MentionsInQuote : 1078
Quote : 294
MentionsInQuoteReply : 1021
Self-Loops : 800
Reciprocated Vertex Pair Ratio : 0.0155932203389831
Reciprocated Edge Ratio : 0.0307076101468625
Connected Components : 152
Single-Vertex Connected Components : 90
Maximum Vertices in a Connected Component : 5478
Maximum Edges in a Connected Component : 19514
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.461704
Graph Density : 0.00032681485327693
Modularity : 0.462125
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,056 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 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 00:03 UTC.
The tweets in the network were tweeted over the 1749-day, 17-hour, 58-minute period from Sunday, 20 May 2018 at 07:00 UTC to Sunday, 05 March 2023 at 00:59 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:
[642] dr,martymakary [476] lab,leak [420] top,virologists [418] two,top [418] fauci,lab [418] martymakary,two [417] days,later [417] warned,fauci [417] leak,2020 [417] virologists,warned Top Word Pairs in Tweet in G1:
[180] nih,deptofdefense [156] massive,nih [153] 1985,still [153] #mrna,1985 [153] lalani,bmj [153] still,pharmacokinetics [153] investment,#mrna [153] deptofdefense,investment [153] bmj,massive [150] pharmacokinetics,pharmacodynam Top Word Pairs in Tweet in G2:
[83] cdcgov,nih [50] nih,cdcgov [35] lab,leak [19] cdcgov,us_fda [18] nih,us_fda [18] potus,nih [17] cdcgov,cdcdirector [16] moderna_tx,nih [16] cdc,nih [15] ve,seen Top Word Pairs in Tweet in G3:
[636] dr,martymakary [416] lab,leak [415] leak,2020 [415] two,top [415] tunes,days [415] virologists,warned [415] top,virologists [415] changed,tunes [415] martymakary,two [415] warned,fauci Top Word Pairs in Tweet in G4:
[82] davis,work [42] good,news [41] mark,davis [41] grant,combines [41] immunologist,mark [41] very,good [41] ron,davis [41] stanford,immunologist [41] news,grant [41] work,hla Top Word Pairs in Tweet in G5:
[234] #covid,fauci [233] told,#fauci [233] lab,funding [233] gave,million [233] virologists,told [233] leading,virologists [233] #fauci,lab [233] two,leading [233] fauci,gave [233] origin,#covid Top Word Pairs in Tweet in G6:
[96] nature,editorial [96] training,role [96] inequity,inclusion [96] inclusion,response [96] response,nature [96] reforming,phd [96] phd,training [96] letter,visa [96] visa,inequity [96] wrote,letter Top Word Pairs in Tweet in G7:
[24] wole_m_fayemi,queenelizabeth [24] motorious_eu,wole_m_fayemi [24] onyx_project,motorious_eu [24] governorpataki,nychra [24] katemiddstyle,dukecambridgeuk [24] dukecambridgeuk,governorpataki [24] queenelizabeth,katemiddstyle [20] v1sionzero_tech,nhtsagov [20] nyccouncil,mmtconline [20] ledzeppelin,nyccouncil Top Word Pairs in Tweet in G8:
[51] march,end [51] documentaries,1200 [51] end,2000 [51] plus,languages [51] awareness,encompassing [51] videos,500 [51] 2000,books [51] 1200,videos [51] 500,documentaries [51] encompassing,35 Top Word Pairs in Tweet in G9:
[135] british,physicians [135] physicians,scientists [134] prophylaxis,treatment [134] revealed,254 [134] showing,british [134] 254,showing [134] ivermectin,prophylaxis [134] #foia,revealed [134] recommending,ivermectin [134] scientists,recommending Top Word Pairs in Tweet in G10:
[46] receive,more [46] more,million [44] money,#nih [44] tax,money [43] million,tax [39] #uwmadison,receive [27] cruel,useless [27] useless,experiments [27] experiments,done [25] done,#uwmadison 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 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: