The graph represents a network of 309 Twitter users whose recent tweets contained ""Clinical guidance for managing patients with suspected #COVIDー19 A marvellous & extremely efficient collaborative effort led by" OR https://twitter.com/mattinadakim/status/1245345763821064192", 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 Tuesday, 07 April 2020 at 10:05 UTC.
The tweets in the network were tweeted over the 5-day, 7-hour, 24-minute period from Wednesday, 01 April 2020 at 13:42 UTC to Monday, 06 April 2020 at 21:07 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 : 309
Unique Edges : 1941
Edges With Duplicates : 11
Total Edges : 1952
Self-Loops : 11
Reciprocated Vertex Pair Ratio : 0.00103466114847387
Reciprocated Edge Ratio : 0.0020671834625323
Connected Components : 19
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 229
Maximum Edges in a Connected Component : 1866
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.193817
Graph Density : 0.0203316101374354
Modularity : 0.100071
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 309 Twitter users whose recent tweets contained ""Clinical guidance for managing patients with suspected #COVIDー19 A marvellous & extremely efficient collaborative effort led by" OR https://twitter.com/mattinadakim/status/1245345763821064192", 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 Tuesday, 07 April 2020 at 10:05 UTC.
The tweets in the network were tweeted over the 5-day, 7-hour, 24-minute period from Wednesday, 01 April 2020 at 13:42 UTC to Monday, 06 April 2020 at 21:07 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 : "Clinical guidance for managing patients with suspected #COVIDー19 A marvellous & extremely efficient collaborative effort led by" OR https://twitter.com/mattinadakim/status/1245345763821064192
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:
[208] breaking,nhsengland [208] nhsengland,clinical [208] clinical,guidance [208] guidance,managing [208] managing,patients [208] patients,suspected [208] suspected,#covidー19 [204] #covidー19,marvellous [204] marvellous,extremely [204] extremely,efficient Top Word Pairs in Tweet in G1:
[207] breaking,nhsengland [207] nhsengland,clinical [207] clinical,guidance [207] guidance,managing [207] managing,patients [207] patients,suspected [207] suspected,#covidー19 [203] #covidー19,marvellous [203] marvellous,extremely [203] extremely,efficient Top Word Pairs in Tweet in G2:
[14] patients,ta [14] ta,admitted [14] admitted,require [14] require,cxr [14] cxr,reinforces [14] reinforces,fabulous [14] fabulous,commitment [14] commitment,#radiographers [4] admitted,patients [4] patients,treatment Top Word Pairs in Tweet in G3:
[8] really,helpful [8] helpful,clear [8] clear,algorithm [8] algorithm,initial [8] initial,assessment [6] thanks,matt [6] matt,bit [6] bit,worried [6] worried,conservative [6] conservative,thresholds Top Word Pairs in Tweet in G4:
[4] really,helpful [4] helpful,infographic [4] infographic,jillbradley67 [4] jillbradley67,paulacahalan [4] paulacahalan,praffertyahp [4] praffertyahp,carmel49670463 [4] carmel49670463,margaretmahp [4] margaretmahp,warner_md Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: