The graph represents a network of 7,649 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, 23 August 2020 at 20:05 UTC.
The requested start date was Sunday, 23 August 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, 18-hour, 8-minute period from Saturday, 15 August 2020 at 14:14 UTC to Saturday, 22 August 2020 at 08:23 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 : 7649
Unique Edges : 11574
Edges With Duplicates : 21423
Total Edges : 32997
Number of Edge Types : 5
Retweet : 4812
MentionsInRetweet : 11682
Mentions : 14597
Replies to : 1613
Tweet : 293
Self-Loops : 424
Reciprocated Vertex Pair Ratio : 0.0217330105286864
Reciprocated Edge Ratio : 0.042541466909131
Connected Components : 118
Single-Vertex Connected Components : 73
Maximum Vertices in a Connected Component : 7446
Maximum Edges in a Connected Component : 32685
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.10045
Graph Density : 0.000310207503811311
Modularity : 0.411355
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,649 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, 23 August 2020 at 20:05 UTC.
The requested start date was Sunday, 23 August 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, 18-hour, 8-minute period from Saturday, 15 August 2020 at 14:14 UTC to Saturday, 22 August 2020 at 08:23 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:
[661] #nih,funded [639] funded,research [633] nihdirector,#nih [536] young,adults [534] teens,young [533] increased,risk [533] risk,#covid19 [532] research,stanfordmed [532] stanfordmed,found [532] found,substantially Top Word Pairs in Tweet in G1:
[169] covid,19 [115] dr,fauci [111] 19,pandemic [111] fauci,nih [108] live,dr [108] questions,covid [107] pandemic,including [107] including,latest [107] latest,vaccines [107] vaccines,mask Top Word Pairs in Tweet in G2:
[272] cdcgov,nih [180] nih,us_fda [168] hhsgov,cdcgov [154] surprise,hhsgov [154] us_fda,puts [154] puts,antibody [154] antibody,rich [154] rich,plasma [154] plasma,hold [154] hold,isn Top Word Pairs in Tweet in G3:
[616] #nih,funded [606] funded,research [604] nihdirector,#nih [515] research,stanfordmed [515] stanfordmed,found [515] found,substantially [515] substantially,increased [515] increased,risk [515] risk,#covid19 [515] #covid19,teens Top Word Pairs in Tweet in G4:
[39] clinical,trials [35] millions,americans [34] great,article [34] article,take [34] take,freaking [34] freaking,worldwide [34] worldwide,pandemic [34] pandemic,millions [34] americans,poised [34] poised,#mecfs Top Word Pairs in Tweet in G5:
[86] michelle_cruk,ukri_ceo [86] ukri_ceo,universitiesuk [84] jeremyfarrar,michelle_cruk [83] elish_ihs,jeremyfarrar [78] universitiesuk,union_newsuk [73] dbetteracademia,elish_ihs [69] union_newsuk,evidencebase_im [39] braincures,dbetteracademia [35] nih,nsf [35] evidencebase_im,techscom Top Word Pairs in Tweet in G6:
[175] fetal,tissue [175] tissue,advisory [175] advisory,bd [175] bd,created [175] created,#trump [175] #trump,admin [175] admin,filled [175] filled,anti [175] anti,abortion [175] abortion,evangelical Top Word Pairs in Tweet in G7:
[142] big,pandemic [142] pandemic,picture [142] picture,#covid19 [142] #covid19,brilliant [142] brilliant,430 [142] 430,bce [142] bce,2020 [142] 2020,cellcellpress [142] cellcellpress,david [142] david,morens Top Word Pairs in Tweet in G8:
[79] priyankapulla,deraltegaukler [76] deraltegaukler,malini_aisola [75] malini_aisola,namita_kohli [67] namita_kohli,nih [62] nih,icmrdelhi [53] amarjesani,anantbhan [48] d_s_thakur,giridar100 [48] icmrdelhi,ivanoransky [48] ivanoransky,microbiomdigest [47] microbiomdigest,amarjesani Top Word Pairs in Tweet in G9:
[21] googleindia,google [21] google,whowpro [16] iiscbangalore,pmoindia [16] pmoindia,prinsciadvgoi [16] prinsciadvgoi,gatesfoundation [16] gatesfoundation,nih [13] mohfw_india,nih [13] horrible,googleads [13] googleads,allowing [13] allowing,scammers Top Word Pairs in Tweet in G10:
[18] mianbkhalid,dunleavy_katie [18] dunleavy_katie,bilalmohammadmd [18] bilalmohammadmd,mahamhayatmd [18] mahamhayatmd,ijlalakbar [18] ijlalakbar,allonkahn [18] allonkahn,perelmanspearls [18] perelmanspearls,talk2medoc [18] talk2medoc,dkirch888 [18] dkirch888,km_pawlak [18] km_pawlak,drdalbir Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: