The graph represents a network of 4,994 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, 03 November 2019 at 01:00 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 4-hour, 52-minute period from Sunday, 27 October 2019 at 10:39 UTC to Friday, 01 November 2019 at 15:31 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 : 4994
Unique Edges : 8808
Edges With Duplicates : 6767
Total Edges : 15575
Number of Edge Types : 3
Mentions : 14441
Tweet : 287
Replies to : 847
Self-Loops : 287
Reciprocated Vertex Pair Ratio : 0.0250783699059561
Reciprocated Edge Ratio : 0.0489296636085627
Connected Components : 82
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 4822
Maximum Edges in a Connected Component : 15300
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.083279
Graph Density : 0.000406536311428711
Modularity : 0.479338
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,994 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, 03 November 2019 at 01:00 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 4-hour, 52-minute period from Sunday, 27 October 2019 at 10:39 UTC to Friday, 01 November 2019 at 15:31 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[365] news,nih [356] nih,news [334] nih,funded [330] effective,immediately [301] immediately,nih [292] adhd,autism [289] risk,adhd [285] funded,study [278] higher,risk [277] linked,higher Top Word Pairs in Tweet in G1:
[316] news,nih [298] nih,news [288] effective,immediately [287] immediately,nih [279] nih,funded [242] funded,study [242] higher,risk [241] study,suggests [241] suggests,acetaminophen [241] acetaminophen,exposure Top Word Pairs in Tweet in G2:
[209] #cancer,cells [208] cells,stubbornly [208] stubbornly,resistant [208] resistant,treatment [208] treatment,#chemotherapy [208] #chemotherapy,now [208] now,researchers [208] researchers,video [208] video,evidence [207] nihdirector,#cancer Top Word Pairs in Tweet in G3:
[88] pavensherlock,uspaven [87] realdonaldtrump,adamschiff [87] adamschiff,speakerpelosi [76] speakerpelosi,senfeinstein [76] senfeinstein,housegop [70] pavensecretary,pavensherlock [63] chochajohn,nicholastaingu1 [63] nicholastaingu1,pavensecretary [50] cia,fbi [50] nytimes,washingtonpost Top Word Pairs in Tweet in G4:
[131] senalexander,nih [91] senate,democrats [90] blocked,funding [90] funding,largest [90] pay,increase [89] democrats,blocked [89] largest,pay [89] increase,military [89] military,10 [89] 10,years Top Word Pairs in Tweet in G5:
[164] receive,more [164] more,3 [144] 3,million [142] cruel,useless [142] useless,experiments [142] experiments,done [132] million,tax [132] tax,money [125] money,through [117] done,#uwmadison Top Word Pairs in Tweet in G6:
[9] nasaoig,nih [6] coe_hrightsrlaw,coe_trafficking [6] coe_hrightsrlaw,coe [6] coe,coe_trafficking [5] lawdotcom,wsjlawnews [4] coe_trafficking,coeinbrussels [4] coeinbrussels,coedemocracy [4] washingtonpost,walterclarklaw [4] nasaoig,fecoig [4] nihoig,nih Top Word Pairs in Tweet in G7:
[54] retirement,place [53] deserve,better [52] chimpanzees,denied [52] denied,sanctuary [52] sanctuary,chimphaven [52] chimphaven,deserve [52] better,retirement [52] place,research [52] research,facility [50] nonhumanrights,chimpanzees Top Word Pairs in Tweet in G8:
[21] milkeninstitute,repmaxinewaters [21] repmaxinewaters,rodhochmanmd [20] rodhochmanmd,ucimind [20] ucimind,rudytanzi [17] rudytanzi,megterrill [17] megterrill,norasuper1 [17] repraskin,nih [15] nih,leads [15] leads,world [15] world,biomedical Top Word Pairs in Tweet in G9:
[17] future,#nhlbi [17] #nhlbi,trainees [17] twitter,chat [17] 7pm,est [16] atsearlycareer,hosting [16] nidus_delirium,boot [16] boot,camp [15] nhlbi_lungdir,future [13] trainees,atsearlycareer [13] hosting,twitter Top Word Pairs in Tweet in G10:
[56] glad,finally [56] finally,chance [56] chance,meet [56] meet,kamalaharris [56] kamalaharris,helping [56] helping,flip [56] flip,va [56] va,house [56] house,w [56] w,c_herring Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G9:
Top Tweeters in G10: