The graph represents a network of 4,996 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, 17 November 2019 at 02:22 UTC.
The requested start date was Sunday, 17 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 8-day, 2-hour, 6-minute period from Thursday, 07 November 2019 at 14:24 UTC to Friday, 15 November 2019 at 16:30 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 : 4996
Unique Edges : 8267
Edges With Duplicates : 7315
Total Edges : 15582
Number of Edge Types : 3
Replies to : 720
Mentions : 14480
Tweet : 382
Self-Loops : 382
Reciprocated Vertex Pair Ratio : 0.03212555298083
Reciprocated Edge Ratio : 0.062251250127564
Connected Components : 96
Single-Vertex Connected Components : 54
Maximum Vertices in a Connected Component : 4796
Maximum Edges in a Connected Component : 15344
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.193534
Graph Density : 0.000392666485540785
Modularity : 0.455365
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,996 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, 17 November 2019 at 02:22 UTC.
The requested start date was Sunday, 17 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 8-day, 2-hour, 6-minute period from Thursday, 07 November 2019 at 14:24 UTC to Friday, 15 November 2019 at 16:30 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:
[325] receive,more [325] more,3 [305] 3,million [283] cruel,useless [283] useless,experiments [283] experiments,done [279] million,tax [275] tax,money [267] money,through [252] #uwmadison,receive Top Word Pairs in Tweet in G1:
[137] nih,news [62] early,pregnancy [61] news,using [61] using,both [61] both,marijuana [61] marijuana,alcohol [61] alcohol,during [61] during,early [61] pregnancy,increase [61] increase,likelihood Top Word Pairs in Tweet in G2:
[138] study,shows [138] long,term [134] new,study [134] shows,people [134] people,survive [134] survive,infection [134] infection,#measles [134] #measles,virus [134] virus,suffer [134] suffer,long Top Word Pairs in Tweet in G3:
[105] pavensherlock,uspaven [100] pavensecretary,pavensherlock [95] without,consent [93] calling,end [93] programs,aimed [93] aimed,mapping [93] mapping,human [93] human,brain [93] brain,without [93] consent,subjects Top Word Pairs in Tweet in G4:
[267] receive,more [267] more,3 [245] 3,million [243] cruel,useless [243] useless,experiments [243] experiments,done [218] million,tax [218] tax,money [210] money,through [194] done,#uwmadison Top Word Pairs in Tweet in G5:
[32] gene,based [30] sickle,cell [28] cell,disease [25] gates,foundation [25] based,treatments [25] treatments,hiv [25] hiv,sickle [24] bring,gene [23] nih,gates [23] foundation,lay Top Word Pairs in Tweet in G6:
[35] lab,nih [34] age,32 [34] 32,md [34] md,phd [34] phd,new [34] new,faculty [34] faculty,member [34] member,lab [34] nih,funding [34] funding,now Top Word Pairs in Tweet in G7:
[106] à,à [25] thejusticedept,ftc [25] ftc,fec [25] fec,ustreasury [25] ustreasury,fda [25] ewarren,senblumenthal [24] #breakupbigtech,#breakupbigdata [24] senblumenthal,hawleymo [24] hawleymo,ronwyden [23] #breakupbigdata,thejusticedept Top Word Pairs in Tweet in G8:
[10] draft,policy [9] #nih,released [9] released,draft [9] policy,data [9] data,management [9] management,sharing [9] sharing,supplemental [9] supplemental,draft [9] draft,guidance [9] guidance,stakeholders Top Word Pairs in Tweet in G9:
[11] richardson,heron [9] dara,richardson [6] heron,nih [6] data,save [4] cogorg,worldsiop [4] worldsiop,ncidrdouglowy [4] ncidrdouglowy,thenci [4] thenci,nih [4] nih,nihdirector [4] nihdirector,realdonaldtrump Top Word Pairs in Tweet in G10:
[25] know,ucsf [25] ucsf,receives [25] receives,half [25] half,billion [25] billion,dollars [25] dollars,year [25] year,funding [25] funding,nih [25] nih,torment [25] torment,more 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 G5:
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: