The graph represents a network of 4,426 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, 16 February 2020 at 02:57 UTC.
The requested start date was Sunday, 16 February 2020 at 01:01 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 1-day, 6-hour, 35-minute period from Friday, 14 February 2020 at 03:23 UTC to Saturday, 15 February 2020 at 09:59 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 : 4426
Unique Edges : 11498
Edges With Duplicates : 6110
Total Edges : 17608
Number of Edge Types : 4
Replies to : 1501
Mentions : 4923
MentionsInRetweet : 11151
Tweet : 33
Self-Loops : 33
Reciprocated Vertex Pair Ratio : 0.00578161592505855
Reciprocated Edge Ratio : 0.0114967619879211
Connected Components : 12
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 4398
Maximum Edges in a Connected Component : 17575
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.274063
Graph Density : 0.000701708701279803
Modularity : 0.238859
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 4,426 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, 16 February 2020 at 02:57 UTC.
The requested start date was Sunday, 16 February 2020 at 01:01 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 1-day, 6-hour, 35-minute period from Friday, 14 February 2020 at 03:23 UTC to Saturday, 15 February 2020 at 09:59 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:
[2968] thechildrensinn,nih [1607] children,thechildrensinn [1314] flotus,thechildrensinn [1257] looking,forward [1257] inspirational,children [1253] forward,spending [1253] spending,#valentinesday [1253] #valentinesday,inspirational [1252] flotus,looking [1243] spending,time Top Word Pairs in Tweet in G1:
[1653] thechildrensinn,nih [1334] children,thechildrensinn [1148] spending,time [1147] flotus,spending [1041] looking,forward [1037] flotus,looking [1037] forward,spending [1037] spending,#valentinesday [1037] #valentinesday,inspirational [1037] inspirational,children Top Word Pairs in Tweet in G2:
[830] thechildrensinn,nih [461] flotus,thechildrensinn [240] children,thechildrensinn [195] inspirational,children [191] looking,forward [191] forward,spending [191] spending,#valentinesday [191] #valentinesday,inspirational [190] flotus,looking [171] flotus,whitehouse Top Word Pairs in Tweet in G3:
[296] thechildrensinn,nih [266] flotus,thechildrensinn [42] nih,cdcgov [31] charles,lieber [31] lieber,60 [31] 60,arrested [31] arrested,federal [31] federal,agents [31] agents,connected [31] connected,deptofdefense Top Word Pairs in Tweet in G4:
[111] thechildrensinn,nih [94] beautiful,flotus [90] flotus,#valentinesday [90] #valentinesday,thechildrensinn [90] nih,treasured [90] treasured,tradition [90] tradition,melania [90] melania,trump [90] trump,flotus [89] femalesfordjt,beautiful Top Word Pairs in Tweet in G5:
[18] herodogsinc,thechildrensinn [17] nih,herodogsinc [12] nihdirector,nih [11] nih,#puppycam [10] research,program [9] #nih,funded [8] repgusbilirakis,repdarrensoto [8] cdcgov,nih [7] today,27 [7] 27,fl Top Word Pairs in Tweet in G6:
[16] thechildrensinn,nih [13] flotus,thechildrensinn [10] meltinginmarana,wwwillstand [10] wwwillstand,daveschreiber3 [10] daveschreiber3,janettxblessed [10] janettxblessed,stlpcs [10] stlpcs,sealeygerald [8] wenmama2,flotus [7] nih,meltinginmarana [5] sealeygerald,alexmjorda Top Word Pairs in Tweet in G7:
[3] ashgosain,mkitano7 [3] mkitano7,lillianerdahlmd [3] lillianerdahlmd,heatheryeomd [3] heatheryeomd,univsurg [3] univsurg,academicsurgery [3] academicsurgery,asianacadsurg [3] asianacadsurg,surgeryuthsc [3] surgeryuthsc,uthscresearch [2] jsuliburk,ashgosain Top Word Pairs in Tweet in G8:
[12] latest,piece [12] piece,thehill [12] thehill,thehillopinion [12] thehillopinion,democrat [12] democrat,run [12] run,trump's [12] trump's,disastrous [12] disastrous,budget [12] budget,proposal [11] kevinpwalling,latest Top Word Pairs in Tweet in G9:
[6] social,media [5] encourage,colleagues [5] colleagues,social [5] media,join [5] join,engage [5] engage,save [5] save,date [5] date,tweeps [5] tweeps,collaboration [4] drdonsdizon,encourage Top Word Pairs in Tweet in G10:
[3] #osucom,researchers [3] researchers,received [3] received,us_fda [3] us_fda,approval [3] approval,world's [3] world's,first [3] first,#genetherapy [3] #genetherapy,clinical [3] clinical,trial [3] trial,treat 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:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: