The graph represents a network of 7,741 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, 04 October 2020 at 20:05 UTC.
The requested start date was Sunday, 04 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 10-hour, 28-minute period from Sunday, 27 September 2020 at 13:21 UTC to Saturday, 03 October 2020 at 23:49 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 : 7741
Unique Edges : 11184
Edges With Duplicates : 15309
Total Edges : 26493
Number of Edge Types : 5
Retweet : 4927
MentionsInRetweet : 10072
Replies to : 1364
Mentions : 9797
Tweet : 333
Self-Loops : 422
Reciprocated Vertex Pair Ratio : 0.0188443704672453
Reciprocated Edge Ratio : 0.0369916564560359
Connected Components : 113
Single-Vertex Connected Components : 63
Maximum Vertices in a Connected Component : 7475
Maximum Edges in a Connected Component : 26005
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.136645
Graph Density : 0.000286053621660163
Modularity : 0.45283
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,741 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, 04 October 2020 at 20:05 UTC.
The requested start date was Sunday, 04 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 10-hour, 28-minute period from Sunday, 27 September 2020 at 13:21 UTC to Saturday, 03 October 2020 at 23:49 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1353] anthony,fauci [1167] #nih,niaidnews [1164] federal,employee [1164] employee,year [1161] niaidnews,director [795] congratulations,#nih [787] irpatnih,congratulations [785] year,award [784] director,anthony [783] fauci,winning Top Word Pairs in Tweet in G1:
[255] covid,19 [91] nih,news [83] nih,ohiostate [82] senrobportman,nih [80] help,stop [77] nih,help [74] nih,#nih [67] #bimrollcall,hey [67] hey,dezmond [67] dezmond,nih Top Word Pairs in Tweet in G2:
[185] key,question [185] question,#pandemic [185] #pandemic,long [185] long,acquired [185] acquired,#immunity [185] #immunity,#covid19 [185] #covid19,last [185] last,35 [185] 35,year [185] year,study Top Word Pairs in Tweet in G3:
[1118] anthony,fauci [1092] federal,employee [1092] employee,year [1091] #nih,niaidnews [1088] niaidnews,director [764] congratulations,#nih [761] irpatnih,congratulations [758] director,anthony [758] fauci,winning [758] winning,2020 Top Word Pairs in Tweet in G4:
[310] cdcgov,nih [296] markknoller,cdcgov [58] ipot1776,markknoller [39] mark,knoller [38] nih,mark [35] hall,monitor [34] knoller,hall [30] social,distancing [26] wearing,masks [25] none,observing Top Word Pairs in Tweet in G5:
[52] penngihep,blackgastro [34] nih,funded [33] black,woman [33] woman,nih [33] funded,researcher [31] researcher,field [30] thoughts,being [30] being,black [30] field,published [30] published,jci Top Word Pairs in Tweet in G6:
[33] spoke,folks [33] folks,bcmhouston [33] bcmhouston,morning [33] morning,wanted [33] wanted,give [33] give,shout [33] shout,incredible [33] incredible,work [33] work,minority [33] underserved,vulnerable Top Word Pairs in Tweet in G7:
[96] dr,anthony [96] anthony,fauci [95] hispaniccaucus,panel [95] panel,#covid19 [95] #covid19,latino [95] latino,communities [95] communities,10 [95] 10,30am [95] fauci,nih [86] nih,kenia Top Word Pairs in Tweet in G8:
[13] cdcgov,nih [12] epearce4q,adeleb11619064 [12] adeleb11619064,yes [12] yes,2020 [12] 2020,video [12] video,many [12] many,wore [12] wore,mask [12] mask,cover [12] cover,mouth Top Word Pairs in Tweet in G9:
[36] completely,truthful [35] know,1st [35] 1st,morning's [35] morning's,presser [35] presser,completely [35] truthful,2nd [35] 2nd,trump [35] trump,lung [35] lung,injury [34] meganranney,know Top Word Pairs in Tweet in G10:
[87] public,health [85] 200,000 [85] 000,deaths [85] deaths,counting [85] counting,more [85] more,embrace [85] embrace,public [85] health,practices [85] practices,wear [85] wear,masks Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: