The graph represents a network of 4,912 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 Tuesday, 10 September 2019 at 18:53 UTC.
The requested start date was Tuesday, 10 September 2019 at 00:01 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 10-day, 1-hour, 53-minute period from Friday, 30 August 2019 at 22:06 UTC to Tuesday, 10 September 2019 at 00:00 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 : 4912
Unique Edges : 8865
Edges With Duplicates : 8070
Total Edges : 16935
Number of Edge Types : 3
Replies to : 834
Mentions : 15678
Tweet : 423
Self-Loops : 423
Reciprocated Vertex Pair Ratio : 0.0267194458189015
Reciprocated Edge Ratio : 0.0520481927710843
Connected Components : 71
Single-Vertex Connected Components : 41
Maximum Vertices in a Connected Component : 4782
Maximum Edges in a Connected Component : 16747
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.351631
Graph Density : 0.000430090463673585
Modularity : 0.471408
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[518] more,3 [507] receive,more [489] 3,million [454] million,tax [447] cruel,useless [447] useless,experiments [447] experiments,done [443] tax,money [422] money,through [409] through,#nih Top Word Pairs in Tweet in G1:
[117] nih,medlineplus [82] means,lot [81] done,lot [81] lot,fun [81] fun,photo [81] photo,shoots [81] shoots,over [81] really,means [79] v,done [79] over,yrs Top Word Pairs in Tweet in G2:
[133] nih,cdcgov [128] realdonaldtrump,adamschiff [128] adamschiff,speakerpelosi [126] speakerpelosi,senfeinstein [124] senfeinstein,housegop [114] approvedrepubl1,chochajohn [110] introduced,rare [110] rare,act [110] act,bipartisan [110] bipartisan,bill Top Word Pairs in Tweet in G3:
[211] #nih,funded [144] research,project [136] little,sleep [136] sleep,#nih [136] funded,research [135] know,anyone [135] anyone,fully [135] fully,function [135] function,little [135] project,ucsf Top Word Pairs in Tweet in G4:
[57] nih,carnegiemellon [53] mission,relevant [53] relevant,research [53] eligible,up [52] lrp,application [52] application,cycle [52] cycle,officially [52] officially,open [52] open,conducting [52] conducting,#nih Top Word Pairs in Tweet in G5:
[34] mismatch,between [34] between,media [34] media,pays [34] pays,attention [34] attention,actually [34] actually,affects [34] affects,health [34] health,consequences [33] sandrogalea,mismatch [33] consequences,inv Top Word Pairs in Tweet in G6:
[24] #esccongress,#wcc2019 [21] bongani,mayosi [18] today,#esccongress [18] nih,nih_nhlbi [18] global,health [17] #wcc2019,#esccongress2019 [16] nih_nhlbi,nih [16] courtesy,escardio [16] escardio,bongani [16] mayosi,memorial Top Word Pairs in Tweet in G7:
[481] more,3 [469] receive,more [448] 3,million [434] cruel,useless [434] useless,experiments [434] experiments,done [417] million,tax [406] tax,money [385] money,through [370] through,#nih Top Word Pairs in Tweet in G8:
[28] toyin,dan_kammen [28] dan_kammen,nih [28] nih,usfda [28] usfda,phrma [28] phrma,gmhc [28] gmhc,harlemunited [28] harlemunited,friends_indeed [27] onyx_project,toyin [12] motorious_tv,onyx_project [8] friends_indeed,whitehouse Top Word Pairs in Tweet in G9:
[86] alzheimer,s [84] senate,labor [84] labor,hhs [77] support,increase [71] increase,350 [71] hhs,appropriations [71] appropriations,subcommittee [71] fy2020,appropriations [71] appropriations,bill [66] 350,million Top Word Pairs in Tweet in G10:
[13] today,day [13] day,39 [13] 39,year [13] year,#cancer [13] #cancer,survivor [13] survivor,heartfelt [13] heartfelt,thanks [13] thanks,doctors [13] doctors,#nurses [13] #nurses,#healthcare 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: