The graph represents a network of 8,188 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 Monday, 03 May 2021 at 23:06 UTC.
The requested start date was Sunday, 02 May 2021 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 5-day, 4-hour, 19-minute period from Monday, 26 April 2021 at 19:38 UTC to Saturday, 01 May 2021 at 23:58 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 : 8188
Unique Edges : 14683
Edges With Duplicates : 18767
Total Edges : 33450
Number of Edge Types : 5
Retweet : 3818
MentionsInRetweet : 9725
Replies to : 2495
Mentions : 17219
Tweet : 193
Self-Loops : 309
Reciprocated Vertex Pair Ratio : 0.0221779217542985
Reciprocated Edge Ratio : 0.0433934666016577
Connected Components : 87
Single-Vertex Connected Components : 49
Maximum Vertices in a Connected Component : 7973
Maximum Edges in a Connected Component : 33111
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.895408
Graph Density : 0.000305958861347321
Modularity : 0.422698
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,188 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 Monday, 03 May 2021 at 23:06 UTC.
The requested start date was Sunday, 02 May 2021 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 5-day, 4-hour, 19-minute period from Monday, 26 April 2021 at 19:38 UTC to Saturday, 01 May 2021 at 23:58 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:
[1318] nih,cdcgov [1073] panagis21,nih [460] cdcgov,nih [409] energycommerce,oversight [409] investigate,nih [408] oversight,chair [408] chair,repdianadegette [408] repdianadegette,pls [408] pls,investigate [407] cruel,coronavirus Top Word Pairs in Tweet in G1:
[408] energycommerce,oversight [408] investigate,nih [407] oversight,chair [407] chair,repdianadegette [407] repdianadegette,pls [407] pls,investigate [406] cruel,coronavirus [406] coronavirus,experiments [405] nih,dangerous [405] dangerous,cruel Top Word Pairs in Tweet in G2:
[143] despite,prior [142] prior,widespread [142] widespread,infection [142] infection,brazilian [142] brazilian,city [142] city,manaus [142] manaus,#coronavirus [142] #coronavirus,came [142] came,roaring [142] roaring,back Top Word Pairs in Tweet in G3:
[1237] nih,cdcgov [1061] panagis21,nih [53] covid,19 [50] cdcgov,vaccinated [46] already,vaccinated [46] fully,vaccinated [46] cdcgov,already [46] hit,million [46] million,mark [46] mark,today Top Word Pairs in Tweet in G4:
[52] ukri_ceo,ukri_news [27] cilla_snowball,elhadj_as_sy [25] nihdirector,nih [23] morimahmoudi,do_kinder [23] do_kinder,newsfromscience [23] newsfromscience,academicparity [23] academicparity,sayaameli [23] sayaameli,arghavan_salles [23] arghavan_salles,juliesilvermd [22] bmatb,athenedonald Top Word Pairs in Tweet in G5:
[33] mohfw_india,nih [32] anuraggupta03,wearetheused [32] wearetheused,dnamagazine [32] dnamagazine,deloittehealth [32] deloittehealth,khnews [32] khnews,mohfw_india [32] nih,mentalhealthph [32] mentalhealthph,generalhospital [27] न,ह [24] ह,त Top Word Pairs in Tweet in G6:
[39] #mecfs,research [36] #nih,prioritize [35] williamhu43,janetdafoe [35] janetdafoe,nih [34] prioritize,#mecfs [34] research,accelerate [34] nih,nihdirector [33] immediate,ways [33] ways,#nih [33] accelerate,treatments Top Word Pairs in Tweet in G7:
[46] decades,receipt [46] receipt,multi [46] multi,million [46] million,r01 [46] r01,nih [46] nih,grants [46] grants,crucial [46] crucial,med [46] med,school [46] school,research Top Word Pairs in Tweet in G8:
[110] over,500 [110] 500,federally [110] federally,funded [110] funded,scientists [110] scientists,flagged [110] flagged,over [110] over,financial [110] financial,ties [110] ties,#china [110] #china,foreign Top Word Pairs in Tweet in G9:
[107] receive,more [101] more,million [100] million,tax [100] tax,money [84] cruel,useless [84] useless,experiments [84] experiments,done [82] browneyedlass09,piaf54 [82] piaf54,nordbergvalerie [82] nordbergvalerie,faustinimary Top Word Pairs in Tweet in G10:
[9] bruce,tromberg [9] lamaralexander,royblunt [9] calling,#nih [9] #nih,funded [9] funded,repositories [9] repositories,trying [9] trying,improve [9] improve,adoption [9] adoption,#fairdata [9] #fairdata,#trustprinciples 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: