The graph represents a network of 7,646 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, 06 September 2020 at 20:02 UTC.
The requested start date was Sunday, 06 September 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 4-day, 18-hour, 34-minute period from Tuesday, 01 September 2020 at 05:24 UTC to Saturday, 05 September 2020 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 : 7646
Unique Edges : 11305
Edges With Duplicates : 18229
Total Edges : 29534
Number of Edge Types : 5
Replies to : 1199
Mentions : 9961
Retweet : 5338
MentionsInRetweet : 12759
Tweet : 277
Self-Loops : 394
Reciprocated Vertex Pair Ratio : 0.0153297884376061
Reciprocated Edge Ratio : 0.030196668338069
Connected Components : 164
Single-Vertex Connected Components : 107
Maximum Vertices in a Connected Component : 7329
Maximum Edges in a Connected Component : 29042
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.9343
Graph Density : 0.000307063696770451
Modularity : 0.42598
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,646 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, 06 September 2020 at 20:02 UTC.
The requested start date was Sunday, 06 September 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 4-day, 18-hour, 34-minute period from Tuesday, 01 September 2020 at 05:24 UTC to Saturday, 05 September 2020 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:
[959] current,head [951] harold,varmus [933] nobel,prize [932] former,head [932] head,nih [930] prize,winner [929] nih,nobel [929] winner,harold [929] varmus,current [928] explosive,news Top Word Pairs in Tweet in G1:
[932] current,head [911] harold,varmus [906] nobel,prize [903] prize,winner [902] former,head [902] head,nih [902] nih,nobel [902] winner,harold [902] varmus,current [901] explosive,news Top Word Pairs in Tweet in G2:
[149] cdcgov,nih [139] ignore,cdcgov [136] come,ignore [136] guidelines,wrong [136] wrong,states [136] states,step [135] cdcgov,agencyâ [135] agencyâ,guidelines [135] laurie_garrett,come [134] step,tâ Top Word Pairs in Tweet in G3:
[178] recovering,infectious [178] infectious,disease [178] disease,isn [178] isn,always [176] always,straightforward [162] nihdirector,recovering [161] straightforward,process [161] process,learn [161] learn,health [161] health,issues Top Word Pairs in Tweet in G4:
[141] woo,hoo [141] hoo,application [141] application,cycle [141] cycle,officially [141] officially,open [141] conducting,nih [141] nih,mission [141] mission,relevant [141] relevant,research [140] dlrdirector,woo Top Word Pairs in Tweet in G5:
[68] institute_solar,teriin [67] teriin,ccnitm [67] 11,00am [65] 2nd,september [53] register,2nd [44] ccnitm,complexityinst [42] time,think [42] think,pl [42] pl,rush [42] rush,register Top Word Pairs in Tweet in G6:
[35] mghmedicine,harvardmed [30] allergist,clinical [30] clinical,researcher [30] researcher,mghmedicine [30] harvardmed,last [30] last,year [30] year,nih [30] nih,award [29] kimberlyblumen1,allergist [19] award,childrenâ Top Word Pairs in Tweet in G7:
[26] cnnbrk,foxnews [24] kkyypppp7102,billgates [23] nih,us_fda [22] zev_dr,joebiden [22] joebiden,nih [22] us_fda,cnnbrk [20] __ice9,kkyypppp7102 [20] foxnews,bbcbreaking [20] bbcbreaking,abc [18] abc,shim_doctor Top Word Pairs in Tweet in G8:
[102] until,mass [102] mass,vaccination [102] vaccination,well [102] well,2021 [102] 2021,path [102] path,safe [102] safe,re [102] re,opening [102] opening,runs [102] runs,testing Top Word Pairs in Tweet in G9:
[15] #uwmadison,receive [15] receive,more [15] more,million [15] million,tax [15] tax,money [15] money,#nih [13] covid,19 [10] #cdc,#nih [9] shall,never [9] never,forget Top Word Pairs in Tweet in G10:
[10] drtedros,faucifan [10] faucifan,uoft_dom [10] uoft_dom,whitehouse [10] whitehouse,realdonaldtrump [10] realdonaldtrump,mizzousigmak [10] mizzousigmak,va_shiva [10] va_shiva,bme_uoft [10] bme_uoft,umissouripress [10] umissouripress,muextension [10] muextension,uconn Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: