The graph represents a network of 4,986 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 Monday, 18 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, 9-hour, 41-minute period from Friday, 08 November 2019 at 15:14 UTC to Sunday, 17 November 2019 at 00:56 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 : 4986
Unique Edges : 8316
Edges With Duplicates : 7552
Total Edges : 15868
Number of Edge Types : 3
Tweet : 360
Mentions : 14755
Replies to : 753
Self-Loops : 360
Reciprocated Vertex Pair Ratio : 0.0321038961038961
Reciprocated Edge Ratio : 0.0622105898932958
Connected Components : 86
Single-Vertex Connected Components : 40
Maximum Vertices in a Connected Component : 4798
Maximum Edges in a Connected Component : 15629
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.201603
Graph Density : 0.000399674756318695
Modularity : 0.458746
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,986 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 Monday, 18 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, 9-hour, 41-minute period from Friday, 08 November 2019 at 15:14 UTC to Sunday, 17 November 2019 at 00:56 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:
[305] receive,more [305] more,3 [283] 3,million [262] cruel,useless [262] useless,experiments [262] experiments,done [256] million,tax [253] tax,money [245] money,through [231] #uwmadison,receive Top Word Pairs in Tweet in G1:
[129] nih,news [60] news,using [60] using,both [60] both,marijuana [60] marijuana,alcohol [60] alcohol,during [60] during,early [60] early,pregnancy [60] pregnancy,increase [60] increase,likelihood Top Word Pairs in Tweet in G2:
[138] study,shows [138] long,term [136] new,study [136] shows,people [136] people,survive [136] survive,infection [136] infection,#measles [136] #measles,virus [136] virus,suffer [136] suffer,long Top Word Pairs in Tweet in G3:
[116] pavensherlock,uspaven [110] 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:
[247] receive,more [247] more,3 [226] 3,million [222] cruel,useless [222] useless,experiments [222] experiments,done [196] million,tax [196] tax,money [188] money,through [173] done,#uwmadison Top Word Pairs in Tweet in G5:
[19] know,ucsf [19] ucsf,receives [19] receives,half [19] half,billion [19] billion,dollars [19] dollars,year [19] year,funding [19] funding,nih [19] nih,torment [19] torment,more Top Word Pairs in Tweet in G6:
[13] nih,nih_nhlbi [9] african,postdoctoral [9] postdoctoral,training [9] training,initiative [8] based,research [8] research,led [7] #nih,#nhlbi [7] national,institute [7] institute,drug [7] drug,abuse Top Word Pairs in Tweet in G7:
[13] nih,dukembb [13] dukembb,harvardmed [12] iamalsorg,nih [11] women,s [8] learn,more [8] more,apple [8] apple,women [8] s,health [8] health,study [8] study,including Top Word Pairs in Tweet in G8:
[23] nih,surgeon_general [22] theendosociety,pedsendosociety [22] pedsendosociety,ameracadpeds [22] ameracadpeds,apapsychiatric [22] apapsychiatric,nih [19] good,questions [19] questions,need [19] need,answers [19] answers,theendosociety [18] will_malone,good Top Word Pairs in Tweet in G9:
[24] global,burden [24] burden,#cardiovascular [24] #cardiovascular,diseases [24] diseases,#jacc [24] #jacc,editorial [24] editorial,describes [24] describes,new [24] new,resource [24] resource,coming [24] coming,2020 Top Word Pairs in Tweet in G10:
[29] gene,based [26] sickle,cell [25] nih,gatesfoundation [24] cell,disease [23] gates,foundation [22] bring,gene [21] nih,gates [21] foundation,lay [21] lay,out [21] out,ambitious 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:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: