The graph represents a network of 1,613 Twitter users whose recent tweets contained ""just finished nights on call, and found that a toxic triad of RSV, rhinovirus and SARS-CoV-2 is starting to stretch the Scottish hospital I work in to its limits" OR https://twitter.com/Williams_T_C/status/1432821287462871043", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 04 September 2021 at 15:02 UTC.
The tweets in the network were tweeted over the 3-day, 8-hour, 48-minute period from Tuesday, 31 August 2021 at 21:43 UTC to Saturday, 04 September 2021 at 06:32 UTC.
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 : 1613
Unique Edges : 1659
Edges With Duplicates : 4
Total Edges : 1663
Self-Loops : 92
Reciprocated Vertex Pair Ratio : 0.00127632418634333
Reciprocated Edge Ratio : 0.00254939451880178
Connected Components : 92
Single-Vertex Connected Components : 65
Maximum Vertices in a Connected Component : 1467
Maximum Edges in a Connected Component : 1519
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.144975
Graph Density : 0.000603425332941562
Modularity : 0.258441
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 1,613 Twitter users whose recent tweets contained ""just finished nights on call, and found that a toxic triad of RSV, rhinovirus and SARS-CoV-2 is starting to stretch the Scottish hospital I work in to its limits" OR https://twitter.com/Williams_T_C/status/1432821287462871043", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 04 September 2021 at 15:02 UTC.
The tweets in the network were tweeted over the 3-day, 8-hour, 48-minute period from Tuesday, 31 August 2021 at 21:43 UTC to Saturday, 04 September 2021 at 06:32 UTC.
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 : TwitterSearch
Graph Term : "just finished nights on call, and found that a toxic triad of RSV, rhinovirus and SARS-CoV-2 is starting to stretch the Scottish hospital I work in to its limits" OR https://twitter.com/Williams_T_C/status/1432821287462871043
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
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1402] rsv,rhinovirus [1393] sars,cov [1393] cov,2 [1391] rhinovirus,sars [1391] went,wrong [1389] finished,nights [1389] nights,call [1389] call,found [1389] found,toxic [1389] toxic,triad Top Word Pairs in Tweet in G1:
[1365] finished,nights [1365] nights,call [1365] call,found [1365] found,toxic [1365] toxic,triad [1365] triad,rsv [1365] rsv,rhinovirus [1365] rhinovirus,sars [1365] sars,cov [1365] cov,2 Top Word Pairs in Tweet in G2:
[3] excellent,thread [3] covid,19 [2] rhinovirus,rsv [2] paediatric,viral [2] many,children [2] thread,worth [2] worth,reading [2] perfect,storm [2] please,listen [2] schools,back Top Word Pairs in Tweet in G3:
[28] excellent,thread [28] rsv,covid [14] dgurdasani1,matters [14] matters,excellent [14] thread,pressures [14] pressures,rsv [14] covid,bringing [14] bringing,paediatrics [14] paediatrics,today [14] today,scotland Top Word Pairs in Tweet in G4:
[3] action,scotgov [3] scotgov,take [3] take,reverse [3] reverse,exponentil [3] exponentil,growth [3] growth,leads [3] leads,jasonleitch [3] jasonleitch,scotgovfm [3] scotgovfm,humzayousaf [3] humzayousaf,scotgp Top Word Pairs in Tweet in G5:
[9] important,read [9] read,1 [9] 1,kids [9] kids,esp [9] esp,infants [9] infants,young [9] young,kids [9] kids,little [9] little,adults [9] adults,infected Top Word Pairs in Tweet in G6:
[4] seems,worryingly [4] worryingly,scenario [4] scenario,damian_roland [4] damian_roland,predicted [4] predicted,more [4] more,year [4] year,ago [4] ago,now [4] now,really [4] really,behind Top Word Pairs in Tweet in G7:
[7] rsv,rhinovirus [6] interessante,thread [6] thread,sulle [6] sulle,infezioni [6] infezioni,respiratorie [6] respiratorie,da [6] da,virus [6] virus,respiratorio [6] respiratorio,sinciziale [6] sinciziale,rsv Top Word Pairs in Tweet in G9:
[5] excellent,thread [5] thread,engage [5] engage,even [5] even,little [5] little,bit [5] bit,concerned [5] concerned,next [5] next,few [5] few,weeks [5] weeks,months Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G8:
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: