The graph represents a network of 5,081 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 3/11/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 00:03 UTC.
The tweets in the network were tweeted over the 992-day, 7-hour, 50-minute period from Monday, 22 June 2020 at 17:07 UTC to Sunday, 12 March 2023 at 00:58 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 : 5081
Unique Edges : 12129
Edges With Duplicates : 14546
Total Edges : 26675
Number of Edge Types : 9
Retweet : 3589
MentionsInRetweet : 12514
Tweet : 291
Mentions : 1531
Quote : 185
MentionsInReplyTo : 6580
Replies to : 981
MentionsInQuote : 647
MentionsInQuoteReply : 357
Self-Loops : 591
Reciprocated Vertex Pair Ratio : 0.00930178477995465
Reciprocated Edge Ratio : 0.018432117965555
Connected Components : 84
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 4795
Maximum Edges in a Connected Component : 26095
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.040785
Graph Density : 0.000672607692391138
Modularity : 0.407168
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,081 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 3/11/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 00:03 UTC.
The tweets in the network were tweeted over the 992-day, 7-hour, 50-minute period from Monday, 22 June 2020 at 17:07 UTC to Sunday, 12 March 2023 at 00:58 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:
[752] nih,niaidfunding [536] p_mcculloughmd,kanekoathegreat [504] moderation,requests [503] direct,following [503] come,mccullough [503] wonder,many [503] report,huge [503] kanekoathegreat,wonder [503] requests,come [503] huge,direct Top Word Pairs in Tweet in G1:
[137] meactnet,nih [52] tell,nih [49] nih,stop [48] clinical,trial [47] eric,freed [45] long,covid [41] stop,shipping [41] wasteful,cruel [41] money,foreign [41] foreign,countries Top Word Pairs in Tweet in G2:
[745] nih,niaidfunding [333] hhsgov,deptofdefense [333] energy,barda [333] niaidfunding,energy [333] barda,hhsgov [256] deep,creating [256] creating,monster [256] monster,nih [256] see,deep [255] deptofdefense,baric_ Top Word Pairs in Tweet in G3:
[142] public,health [114] cdcgov,nih [104] cdcgov,hhsgov [101] hhsgov,nih [97] nih,us_fda [81] demanding,truth [80] censor,large [80] large,public [80] know,cdcgov [80] truth,know Top Word Pairs in Tweet in G4:
[509] p_mcculloughmd,kanekoathegreat [479] moderation,requests [478] requests,come [478] report,huge [478] direct,following [478] come,mccullough [478] many,moderation [478] mccullough,report [478] kanekoathegreat,wonder [478] huge,direct Top Word Pairs in Tweet in G5:
[108] dr,fauci [108] fauci,very [108] #wuhanlab,#takedowntheccp [108] very,intimate [108] #covid_19,dr [108] 换个姿势继续,中共生化部队女妖精武汉实验室所长王延轶强奸fauci [108] #nih,#covid_19 [108] 中共生化部队女妖精武汉实验室所长王延轶强奸fauci,#fauci [108] #fauci,#wuhanlab [108] #takedowntheccp,#nih Top Word Pairs in Tweet in G6:
[54] covid,19 [53] lab,leak [52] former,cdc [51] robert,redfield [51] dr,fauci [51] cdc,director [50] director,robert [50] theory,conceal [50] conspiracy,squash [50] squash,covid Top Word Pairs in Tweet in G7:
[60] 500,documentaries [60] encompassing,35 [60] videos,500 [60] 1200,videos [60] end,2000 [60] books,epilepsy [60] languages,1200 [60] plus,languages [60] 35,plus [60] awareness,encompassing Top Word Pairs in Tweet in G8:
[83] welt,lobt [83] ex,cdc [83] die,wissenschaft [83] retter,welt [83] zeigt,die [83] robert,redfield [83] jahren,retter [83] lobt,corona [83] cdc,chef [83] chef,robert Top Word Pairs in Tweet in G9:
[4] lasting,problems [4] isha,jain [4] oxygen,cause [4] levels,oxygen [4] jain,lab [4] team,isha [4] high,levels [4] problems,humans [4] lab,uncovered [4] cause,lasting Top Word Pairs in Tweet in G10:
[69] nih,opticalradlab [69] nimh,nih [58] ruben4neuro,katybraden [57] flanbrain,nimh [57] opticalradlab,ruben4neuro [24] katybraden,congrats [14] congrats,daniel [12] opticalradlab,support [12] fashion,thank [12] thank,nimh 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 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: