The graph represents a network of 9,749 Twitter users whose tweets in the requested range contained "public health", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 07 March 2021 at 12:51 UTC.
The requested start date was Saturday, 06 March 2021 at 01:01 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 2-day, 0-hour, 47-minute period from Wednesday, 03 March 2021 at 11:28 UTC to Friday, 05 March 2021 at 12:15 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 : 9749
Unique Edges : 4988
Edges With Duplicates : 12251
Total Edges : 17239
Number of Edge Types : 5
Retweet : 5775
MentionsInRetweet : 7115
Replies to : 773
Tweet : 1541
Mentions : 2035
Self-Loops : 1575
Reciprocated Vertex Pair Ratio : 0.0113672580473813
Reciprocated Edge Ratio : 0.0224789915966387
Connected Components : 1829
Single-Vertex Connected Components : 509
Maximum Vertices in a Connected Component : 3679
Maximum Edges in a Connected Component : 7827
Maximum Geodesic Distance (Diameter) : 35
Average Geodesic Distance : 9.462719
Graph Density : 0.000100175462794854
Modularity : 0.575477
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 9,749 Twitter users whose tweets in the requested range contained "public health", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 07 March 2021 at 12:51 UTC.
The requested start date was Saturday, 06 March 2021 at 01:01 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 2-day, 0-hour, 47-minute period from Wednesday, 03 March 2021 at 11:28 UTC to Friday, 05 March 2021 at 12:15 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 : public health
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:
[5299] public,health [1134] health,measures [1011] mask,wearing [1002] social,distancing [994] hand,washing [992] stat,blew [992] blew,mind [992] mind,public [992] measures,social [992] distancing,mask Top Word Pairs in Tweet in G1:
[991] public,health [982] health,measures [977] stat,blew [977] blew,mind [977] mind,public [977] measures,social [977] social,distancing [977] distancing,mask [977] mask,wearing [977] wearing,hand Top Word Pairs in Tweet in G2:
[407] public,health [52] covid,19 [26] mental,health [17] environment,public [16] cooperative,agreements [16] agreements,usa [16] usa,nonprofits [16] nonprofits,agencies [16] agencies,address [16] address,environment Top Word Pairs in Tweet in G3:
[243] public,health [239] health,england [237] march,2020 [237] 2020,adverts [237] adverts,promoting [237] promoting,facemasks [237] facemasks,protection [237] protection,covid [237] covid,banned [237] banned,uk Top Word Pairs in Tweet in G4:
[181] public,health [48] officer,epdevilla [40] health,officer [39] breaking,march [39] march,halton [38] double,checked [38] checked,true [38] true,husband [38] husband,toronto [38] toronto,lockdown Top Word Pairs in Tweet in G5:
[94] public,health [38] health,england's [38] england's,graph [38] graph,excess [38] excess,deaths [38] deaths,shows [38] shows,winter [38] winter,covid [38] covid,over [38] over,fact Top Word Pairs in Tweet in G6:
[90] governor,top [89] mr,cuomo [88] nytimes,central [88] central,role [88] role,played [88] played,governor [88] top,aides [88] aides,reflected [88] reflected,lengths [88] lengths,mr Top Word Pairs in Tweet in G7:
[100] public,health [68] health,crisis [67] economic,crisis [66] re,facing [66] facing,economic [66] crisis,caused [66] caused,public [66] crisis,secraimondo [66] secraimondo,play [66] play,crucial Top Word Pairs in Tweet in G8:
[47] public,health [37] dido,harding [36] true,cost [36] cost,dido [36] harding,serco [36] serco,inspired [36] inspired,track [36] track,trace [36] trace,closer [36] closer,37 Top Word Pairs in Tweet in G9:
[60] understand,need [60] need,back [60] back,normality [60] normality,going [60] going,set [60] set,yourself [60] yourself,back [60] back,completely [60] completely,push [59] cnn,understand Top Word Pairs in Tweet in G10:
[52] public,health [28] health,experts [25] lockdown,mask [25] mask,religion [25] religion,espoused [25] espoused,public [25] experts,starts [25] starts,make [25] make,lot [25] lot,more Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: