"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, Twitter, 4/7/2020 10:07:44 AM, 224548


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"Clinical guidance for managing patients with suspected #COVIDー19 A marvellous & extremely efficient
"Clinical guidance for managing patients with suspected #COVIDー19 A marvellous & extremely efficient
From:
scotpublichealth
Uploaded on:
April 07, 2020
Short Description:
"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 via NodeXL https://bit.ly/3c0N9qy
@nhsengland
@drahsanm
@suemanby
@rcgpmersey
@rcollem
@drcjm
@rcp_q

Description:
Description
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


Overall Graph Metrics
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 Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[31] https://twitter.com/mattinadakim/status/1245345763821064192
[1] https://twitter.com/mattinadakim/status/1247264748074340352?s=21
[1] https://www.england.nhs.uk/coronavirus/wp-content/uploads/sites/52/2020/03/C0092_Specialty-guide_patient-with-cough-and-temperature_v2-6-April.pdf

Top URLs in Tweet in G1:
[4] https://twitter.com/mattinadakim/status/1245345763821064192
[1] https://twitter.com/mattinadakim/status/1247264748074340352?s=21
[1] https://www.england.nhs.uk/coronavirus/wp-content/uploads/sites/52/2020/03/C0092_Specialty-guide_patient-with-cough-and-temperature_v2-6-April.pdf

Top URLs in Tweet in G2:
[3] https://twitter.com/mattinadakim/status/1245345763821064192

Top URLs in Tweet in G3:
[2] https://twitter.com/mattinadakim/status/1245345763821064192

Top URLs in Tweet in G4:
[1] https://twitter.com/mattinadakim/status/1245345763821064192

Top URLs in Tweet in G5:
[4] https://twitter.com/mattinadakim/status/1245345763821064192

Top URLs in Tweet in G6:
[2] https://twitter.com/mattinadakim/status/1245345763821064192

Top URLs in Tweet in G7:
[2] https://twitter.com/mattinadakim/status/1245345763821064192

Top URLs in Tweet in G8:
[1] https://twitter.com/mattinadakim/status/1245345763821064192

Top URLs in Tweet in G9:
[1] https://twitter.com/mattinadakim/status/1245345763821064192

Top URLs in Tweet in G10:
[1] https://twitter.com/mattinadakim/status/1245345763821064192

Top Domains
Top Domains in Tweet in Entire Graph:
[32] twitter.com
[1] nhs.uk

Top Domains in Tweet in G1:
[5] twitter.com
[1] nhs.uk

Top Domains in Tweet in G2:
[3] twitter.com

Top Domains in Tweet in G3:
[2] twitter.com

Top Domains in Tweet in G4:
[1] twitter.com

Top Domains in Tweet in G5:
[4] twitter.com

Top Domains in Tweet in G6:
[2] twitter.com

Top Domains in Tweet in G7:
[2] twitter.com

Top Domains in Tweet in G8:
[1] twitter.com

Top Domains in Tweet in G9:
[1] twitter.com

Top Domains in Tweet in G10:
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[208] covidー19
[14] radiographers
[4] teampatient
[4] teamnhs
[4] frontlinerad
[4] andme
[4] vitalcomponant
[4] notsupportworking
[1] teamcovid19
[1] covid_19



Top Hashtags in Tweet in G1:
[207] covidー19
[4] teampatient
[4] teamnhs
[1] teamcovid19
[1] covid_19
[1] covid19uk

Top Hashtags in Tweet in G2:
[14] radiographers
[4] frontlinerad
[4] andme
[4] vitalcomponant
[4] notsupportworking
[1] feelingenergised

Top Hashtags in Tweet in G3:
[1] covidー19

Top Words
Top Words in Tweet in Entire Graph:
[896] Words in Sentiment List#1: Positive
[234] Words in Sentiment List#2: Negative
[0] Words in Sentiment List#3: Angry/Violent
[5346] Non-categorized Words
[6476] Total Words
[227] patients
[212] nhsengland
[208] breaking
[208] clinical
[208] guidance

Top Words in Tweet in G1:
[211] nhsengland
[207] breaking
[207] clinical
[207] guidance
[207] managing
[207] patients
[207] suspected
[207] #covidー19
[203] marvellous
[203] extremely

Top Words in Tweet in G2:
[18] patients
[18] admitted
[14] ta
[14] require
[14] cxr
[14] reinforces
[14] fabulous
[14] commitment
[14] #radiographers
[4] treatment

Top Words in Tweet in G3:
[8] really
[8] helpful
[8] clear
[8] algorithm
[8] initial
[8] assessment
[6] thanks
[6] matt
[6] bit
[6] worried

Top Words in Tweet in G4:
[4] really
[4] helpful
[4] infographic
[4] jillbradley67
[4] paulacahalan
[4] praffertyahp
[4] carmel49670463
[4] margaretmahp
[4] warner_md

Top Words in Tweet in G5:
[2] drbenmesser

Top Words in Tweet in G6:
[2] ednnuh

Top Word Pairs
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
Top Mentioned
Top Mentioned in Entire Graph:
@nhsengland
@drcjm
@rcollem
@rcp_qips
@acutemedicine
@suemanby
@rcempresident
@rcgpmersey
@rcplondon
@wedocs

Top Mentioned in G1:
@nhsengland
@drcjm
@rcollem
@rcp_qips
@acutemedicine
@suemanby
@rcempresident
@rcgpmersey
@rcplondon
@wedocs

Top Mentioned in G3:
@nhsengland
@drcjm
@rcollem
@rcp_qips
@acutemedicine
@suemanby
@rcempresident
@rcgpmersey
@rcplondon

Top Mentioned in G4:
@jillbradley67
@paulacahalan
@praffertyahp
@carmel49670463
@margaretmahp
@warner_md

Top Mentioned in G5:
@adult_nu
@dg_monk
@jadennu
@honorarygeordi_

Top Mentioned in G6:
@ednnuh
@dolmo76
@nnuhteamresus
@nnuh
@ychristley

Top Mentioned in G7:
@janestewart6871
@paulineskeggs

Top Mentioned in G8:
@sathemergencyd1
@eddthedoc
@nessroberts
@natroseed

Top Mentioned in G9:
@jennifercoombe8
@robinpayne_1

Top Mentioned in G10:
@wchc_nhs
@sparky2409791

Top Tweeters
Top Tweeters in Entire Graph:
@mancunianmedic
@wenurses
@systonhouse
@clifford0584
@scormembers
@proftomquinn
@juliachidley
@micmicmic1
@oncologyforum
@pharmrj

Top Tweeters in G1:
@mancunianmedic
@wenurses
@systonhouse
@clifford0584
@proftomquinn
@juliachidley
@micmicmic1
@oncologyforum
@pharmrj
@nhsengland

Top Tweeters in G2:
@scormembers
@roentgens_dad
@xray_nick
@scorcbeardmore
@rigbycf
@kathmccal
@bigradtom
@chrisburton5
@julia_watso
@suewrad

Top Tweeters in G3:
@_joemiddleton
@croseveare
@drlynndickson
@djbeckett
@valcarreres
@danlasserson
@iainwkeith
@drahsanm
@janeatnhs
@threlfalllynsey

Top Tweeters in G4:
@lavery_gg
@warner_md
@paulacahalan
@jennykeanecahpo
@nimminimal
@jillbradley67
@margaretmahp
@praffertyahp
@carmel49670463

Top Tweeters in G5:
@sim2ap
@honorarygeordi_
@janegreaves4
@drbenmesser
@adult_nu
@dg_monk
@phil_laws
@jadennu
@hsnursing

Top Tweeters in G6:
@nnuh
@barbcliffe
@drnancyfontaine
@ychristley
@nsafetymatters
@dolmo76
@ednnuh
@nnuhteamresus

Top Tweeters in G7:
@janestewart6871
@joward28692023
@kirstyditcher
@paulineskeggs
@brianmartinda18

Top Tweeters in G8:
@eddthedoc
@nessroberts
@angelawindsor9
@sathemergencyd1
@natroseed

Top Tweeters in G9:
@bakerkatyhaynes
@robinpayne_1
@liz_berry_1
@jennifercoombe8

Top Tweeters in G10:
@wchc_nhs
@wuthnhs
@sparky2409791
@cherishcadelina