The graph represents a network of 7,746 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, 30 August 2020 at 20:06 UTC.
The requested start date was Sunday, 30 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 12-day, 1-hour, 14-minute period from Monday, 17 August 2020 at 22:46 UTC to Sunday, 30 August 2020 at 00:01 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 : 7746
Unique Edges : 11129
Edges With Duplicates : 20255
Total Edges : 31384
Number of Edge Types : 5
Replies to : 1605
Mentions : 14076
Retweet : 4653
MentionsInRetweet : 10684
Tweet : 366
Self-Loops : 479
Reciprocated Vertex Pair Ratio : 0.0231196956394498
Reciprocated Edge Ratio : 0.0451945080091533
Connected Components : 133
Single-Vertex Connected Components : 83
Maximum Vertices in a Connected Component : 7498
Maximum Edges in a Connected Component : 30997
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.116473
Graph Density : 0.000291368443230743
Modularity : 0.411131
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,746 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, 30 August 2020 at 20:06 UTC.
The requested start date was Sunday, 30 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 12-day, 1-hour, 14-minute period from Monday, 17 August 2020 at 22:46 UTC to Sunday, 30 August 2020 at 00:01 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:
[443] covid,19 [361] cdcgov,nih [242] nih,news [237] receive,more [222] more,million [221] million,tax [221] tax,money [221] powerful,observational [220] another,powerful [220] observational,study Top Word Pairs in Tweet in G1:
[286] covid,19 [204] nih,news [117] dr,fauci [113] 19,pandemic [112] fauci,nih [110] live,dr [110] questions,covid [109] pandemic,including [109] including,latest [109] latest,vaccines Top Word Pairs in Tweet in G2:
[278] cdcgov,nih [186] nih,us_fda [175] hhsgov,cdcgov [168] #als,#covid [168] #covid,#als [168] #als,100 [168] 100,fatal [168] fatal,help [168] help,patients [168] patients,access Top Word Pairs in Tweet in G3:
[117] #nih,funded [113] sars,cov [108] funded,research [102] nihdirector,#nih [101] research,hhminews [101] hhminews,examined [101] examined,000 [101] 000,different [101] different,mutations [101] mutations,sars Top Word Pairs in Tweet in G4:
[107] nih,ecohealthnyc [103] priyankapulla,deraltegaukler [98] deraltegaukler,malini_aisola [96] malini_aisola,namita_kohli [88] namita_kohli,nih [81] nih,icmrdelhi [72] amarjesani,anantbhan [72] janeqiuchina,nih [68] d_s_thakur,giridar100 [67] icmrdelhi,ivanoransky Top Word Pairs in Tweet in G5:
[34] michelle_cruk,ukri_ceo [33] ukri_ceo,universitiesuk [32] elish_ihs,jeremyfarrar [32] jeremyfarrar,michelle_cruk [28] dbetteracademia,elish_ihs [28] universitiesuk,union_newsuk [26] union_newsuk,evidencebase_im [21] nsf,nih [17] nih,nsf [17] nih,ncstateced Top Word Pairs in Tweet in G6:
[220] powerful,observational [219] another,powerful [219] observational,study [219] study,#hydroxycholoroquine [219] #hydroxycholoroquine,#coronavirus [219] #coronavirus,continued [219] continued,suppression [219] suppression,drug [218] tomfitton,another [69] us_fda,nih Top Word Pairs in Tweet in G7:
[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 G8:
[44] 11,30 [37] 30,hrs [33] hemantr91929333,please [32] august,2020 [32] 2020,11 [31] please,register [31] register,28th [28] 28th,august [16] 28th,webinar [16] webinar,11 Top Word Pairs in Tweet in G9:
[32] clinical,trials [31] disrupted,clinical [31] trials,worldwide [31] worldwide,long [31] long,lasting [31] lasting,effects [31] effects,medical [31] medical,science [30] #covid19,pandemic [30] pandemic,disrupted Top Word Pairs in Tweet in G10:
[10] press,release [10] release,study [10] study,icahninstitute's [10] icahninstitute's,noambeckmann1 [10] noambeckmann1,#nashneuroscience's [10] #nashneuroscience's,dr [10] dr,stephen [10] stephen,salton [10] salton,identifies [10] identifies,protein 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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Top Tweeters in G10: