User List - @phe_uk, Twitter, 3/31/2021 1:31:01 PM, 251657


FAQ | Problem?

Twitter Users User List - @phe_uk
Twitter Users User List - @phe_uk
From:
scotpublichealth
Uploaded on:
March 31, 2021
Short Description:
User List - @phe_uk via NodeXL https://bit.ly/31zEfxg
@phe_uk
@gbdeclaration
@malscrimgeour
@bloodygood__
@ukhomeoffice
@pritipatel
@edwardrussell
@kingscrf
@stu_king_hh
@philipcball

Top hashtags:
#covid19
#coronavirus
#vaccine
#everymindmatters
#phehealthmatters

Description:
Description
The graph represents a network of 1 specified Twitter user (User List - @phe_uk). The network was obtained from Twitter on Wednesday, 31 March 2021 at 12:49 UTC.

It shows who was mentioned or replied to in the users' recent tweets.

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 : 354
Unique Edges : 225
Edges With Duplicates : 3459
Total Edges : 3684
Self-Loops : 2068
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 354
Maximum Edges in a Connected Component : 3684
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.988717
Graph Density : 0.00282485875706215
Modularity : 0.086748
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 1 specified Twitter user (User List - @phe_uk). The network was obtained from Twitter on Wednesday, 31 March 2021 at 12:49 UTC.

It shows who was mentioned or replied to in the users' recent tweets.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterUsers
Graph Term : User List - @phe_uk
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:
[123] https://gov.uk/government/statistics/national-flu-and-covid-19-surveillance-reports
[95] http://www.nhs.uk/coronavirus
[64] https://coronavirus.data.gov.uk/
[62] https://www.gov.uk/coronavirus
[54] https://www.nhs.uk/oneyou/every-mind-matters/
[38] http://www.nhs.uk/conditions/coronavirus-covid-19/
[32] https://coronavirus.data.gov.uk
[31] http://www.nhs.uk/covidvaccine
[29] https://publichealthmatters.blog.gov.uk/2020/01/23/wuhan-novel-coronavirus-what-you-need-to-know/
[29] https://gov.uk/coronavirus

Top URLs in Tweet in G1:
[123] https://gov.uk/government/statistics/national-flu-and-covid-19-surveillance-reports
[95] http://www.nhs.uk/coronavirus
[64] https://coronavirus.data.gov.uk/
[62] https://www.gov.uk/coronavirus
[54] https://www.nhs.uk/oneyou/every-mind-matters/
[38] http://www.nhs.uk/conditions/coronavirus-covid-19/
[32] https://coronavirus.data.gov.uk
[31] http://www.nhs.uk/covidvaccine
[29] https://publichealthmatters.blog.gov.uk/2020/01/23/wuhan-novel-coronavirus-what-you-need-to-know/
[29] https://gov.uk/coronavirus

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1177] covid19
[460] coronavirus
[154] vaccine
[114] everymindmatters
[102] phehealthmatters
[90] flu
[88] stayhomesavelives
[57] vaccines
[42] handsfacespace
[41] valueofvaccines



Top Hashtags in Tweet in G1:
[1177] covid19
[460] coronavirus
[154] vaccine
[114] everymindmatters
[102] phehealthmatters
[90] flu
[88] stayhomesavelives
[57] vaccines
[42] handsfacespace
[41] valueofvaccines

Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters

We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.