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Twitter Users User List - @phe_uk (experimental version)
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From:
scotpublichealth
Uploaded on:
June 28, 2020
Short Description:
User List via NodeXL https://bit.ly/31pJsZN
@phe_uk
@thelancetph
@inescamposmatos
@thriveldn
@royalstatsoc
@sciencemagazine
@ukinethiopia
@calderdale
@ephiethiopia
@africacdc

Top hashtags:
#coronavirus
#phehealthmatters
#covid19
#valueofvaccines
#pheconf19

Description:
Description
The graph represents a network of 1 specified Twitter user (User List). The network was obtained from Twitter on Sunday, 28 June 2020 at 18:51 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 : 624
Unique Edges : 355
Edges With Duplicates : 3763
Total Edges : 4118
Self-Loops : 1724
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 624
Maximum Edges in a Connected Component : 4118
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.993595
Graph Density : 0.0016025641025641
Modularity : 0.128484
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 1 specified Twitter user (User List). The network was obtained from Twitter on Sunday, 28 June 2020 at 18:51 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
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:
[55] https://www.nhs.uk/oneyou/every-mind-matters/
[49] http://www.nhs.uk/fluvaccine
[33] https://www.gov.uk/government/publications/health-matters-life-course-approach-to-prevention/health-matters-prevention-a-life-course-approach
[32] https://www.phe-events.org.uk/hpa/frontend/reg/thome.csp?pageID=356560&eventID=829&traceRedir=2
[31] https://www.nhs.uk/conditions/norovirus/
[29] https://publichealthmatters.blog.gov.uk/2020/01/23/wuhan-novel-coronavirus-what-you-need-to-know/
[27] https://www.gov.uk/government/publications/health-matters-physical-activity/health-matters-physical-activity-prevention-and-management-of-long-term-conditions
[25] https://www.gov.uk/government/publications/health-matters-whole-systems-approach-to-obesity/health-matters-whole-systems-approach-to-obesity
[24] http://www.nhs.uk/coronavirus
[22] https://www.gov.uk/government/publications/covid-19-track-coronavirus-cases

Top URLs in Tweet in G1:
[55] https://www.nhs.uk/oneyou/every-mind-matters/
[49] http://www.nhs.uk/fluvaccine
[33] https://www.gov.uk/government/publications/health-matters-life-course-approach-to-prevention/health-matters-prevention-a-life-course-approach
[32] https://www.phe-events.org.uk/hpa/frontend/reg/thome.csp?pageID=356560&eventID=829&traceRedir=2
[31] https://www.nhs.uk/conditions/norovirus/
[29] https://publichealthmatters.blog.gov.uk/2020/01/23/wuhan-novel-coronavirus-what-you-need-to-know/
[27] https://www.gov.uk/government/publications/health-matters-physical-activity/health-matters-physical-activity-prevention-and-management-of-long-term-conditions
[25] https://www.gov.uk/government/publications/health-matters-whole-systems-approach-to-obesity/health-matters-whole-systems-approach-to-obesity
[24] http://www.nhs.uk/coronavirus
[22] https://www.gov.uk/government/publications/covid-19-track-coronavirus-cases

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[315] coronavirus
[276] phehealthmatters
[231] covid19
[132] valueofvaccines
[119] pheconf19
[108] everymindmatters
[70] flu
[59] vaccineswork
[54] stayhomesavelives
[48] allourhealth



Top Hashtags in Tweet in G1:
[315] coronavirus
[276] phehealthmatters
[231] covid19
[132] valueofvaccines
[119] pheconf19
[108] everymindmatters
[70] flu
[59] vaccineswork
[54] stayhomesavelives
[48] allourhealth

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

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