The graph represents a network of 4,933 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 Wednesday, 11 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, 42-minute period from Friday, 30 August 2019 at 22:17 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 : 4933
Unique Edges : 8907
Edges With Duplicates : 8064
Total Edges : 16971
Number of Edge Types : 3
Replies to : 835
Mentions : 15713
Tweet : 423
Self-Loops : 423
Reciprocated Vertex Pair Ratio : 0.0266088499063763
Reciprocated Edge Ratio : 0.0518383411730825
Connected Components : 71
Single-Vertex Connected Components : 41
Maximum Vertices in a Connected Component : 4803
Maximum Edges in a Connected Component : 16783
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.35425
Graph Density : 0.00042816235528507
Modularity : 0.468334
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:
[208] #nih,funded [144] research,project [136] funded,research [135] know,anyone [135] anyone,fully [135] fully,function [135] function,little [135] little,sleep [135] sleep,#nih [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:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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