The graph represents a network of 4,763 Twitter users whose tweets in the requested range contained "#NIH OR @NIH", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 November 2019 at 02:00 UTC.
The requested start date was Sunday, 10 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 6-day, 1-hour, 30-minute period from Sunday, 03 November 2019 at 15:00 UTC to Saturday, 09 November 2019 at 16:31 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 4763
Unique Edges : 8100
Edges With Duplicates : 5690
Total Edges : 13790
Number of Edge Types : 3
Replies to : 666
Mentions : 12762
Tweet : 362
Self-Loops : 362
Reciprocated Vertex Pair Ratio : 0.0266094420600858
Reciprocated Edge Ratio : 0.0518394648829431
Connected Components : 108
Single-Vertex Connected Components : 72
Maximum Vertices in a Connected Component : 4540
Maximum Edges in a Connected Component : 13550
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.157255
Graph Density : 0.000421843337225214
Modularity : 0.506251
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,763 Twitter users whose tweets in the requested range contained "#NIH OR @NIH", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 November 2019 at 02:00 UTC.
The requested start date was Sunday, 10 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 6-day, 1-hour, 30-minute period from Sunday, 03 November 2019 at 15:00 UTC to Saturday, 09 November 2019 at 16:31 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[812] ð,ð [696] ñ,ð [638] ð,ñ [260] gene,editing [254] receive,more [250] drug,companies [249] #sicklecell,disease [244] editing,potential [244] potential,treat [244] treat,conditions Top Word Pairs in Tweet in G1:
[123] nih,news [83] funding,nih [80] according,nih [80] time,money [79] nih,''animal [79] ''animal,models [79] models,fail [79] wasted,time [79] money,'' [79] '',time Top Word Pairs in Tweet in G2:
[47] rural,health [40] join,ncats_nih_gov [40] ncats_nih_gov,nimhgov [40] nimhgov,nimhd [40] nimhd,learn [40] learn,#ruralhealth [40] #ruralhealth,share [40] share,ideas [40] ideas,improving [40] improving,rural Top Word Pairs in Tweet in G3:
[240] gene,editing [227] editing,potential [227] potential,treat [227] treat,conditions [227] conditions,once [227] once,unthinkable [227] unthinkable,including [227] including,#sicklecell [227] #sicklecell,disease [227] disease,#hiv Top Word Pairs in Tweet in G4:
[32] global,health [32] health,security [32] security,ghs [32] ghs,index [32] index,compiled [32] compiled,scientists [32] scientists,jhsph_chs [32] jhsph_chs,nih [31] johnshopkinssph,global [30] â,ï Top Word Pairs in Tweet in G5:
[247] drug,companies [239] giant,drug [176] slap,wrist [173] companies,caught [172] caught,breaking [172] breaking,law [172] law,slap [172] wrist,settlements [172] m,reintroducing [171] senwarren,giant Top Word Pairs in Tweet in G6:
[72] pavensherlock,uspaven [67] pavensecretary,pavensherlock [60] nicholastaingu1,pavensecretary [48] sherlockpaven,klinechris3 [45] chochajohn,nicholastaingu1 [41] uspaven,realdonaldtrump [41] realdonaldtrump,adamschiff [41] adamschiff,speakerpelosi [41] speakerpelosi,senfeinstein [41] senfeinstein,housegop Top Word Pairs in Tweet in G7:
[812] ð,ð [696] ñ,ð [638] ð,ñ [231] receive,more [217] more,3 [196] 3,million [194] cruel,useless [194] useless,experiments [194] experiments,done [183] million,tax Top Word Pairs in Tweet in G8:
[66] #targetedindividuals,calling [66] calling,end [66] end,#darpa [66] #darpa,#nih [66] #nih,programs [66] programs,aimed [66] aimed,mapping [66] mapping,human [66] human,brain [66] brain,without Top Word Pairs in Tweet in G9:
[15] nih,nsf [14] nsf,nih [13] #mondaymotivation,agriculture [13] agriculture,biomedical [13] biomedical,engineering [13] engineering,math [13] math,renewable [13] renewable,energy [13] energy,#students [13] #students,researchers Top Word Pairs in Tweet in G10:
[51] nih,gatesfoundation [39] sickle,cell [39] cell,disease [33] gene,based [31] based,treatments [28] lay,out [28] out,ambitious [28] ambitious,plan [28] plan,bring [28] bring,gene Top Replied-To in Entire Graph:
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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: