User List - @thebma, Twitter, 7/7/2020 9:43:24 PM, 230334


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Twitter Users User List - @thebma
Twitter Users User List - @thebma
From:
scotpublichealth
Uploaded on:
July 07, 2020
Short Description:
User List - @thebma via NodeXL https://bit.ly/3e9YSno
@thebma
@drchatterjeeuk
@doctordaps
@sophyridgesky
@runningmadprof
@drtedros
@bma_law
@carequalitycomm
@tivadoctor
@ukri_ceo

Top hashtags:
#covid19
#nhsfuture
#brexit
#nhs
#arm2019
#bmawellbeing

Description:
Description
The graph represents a network of 1 specified Twitter user (User List - @thebma). The network was obtained from Twitter on Tuesday, 07 July 2020 at 21:20 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 : 1138
Unique Edges : 671
Edges With Duplicates : 4651
Total Edges : 5322
Self-Loops : 1047
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1138
Maximum Edges in a Connected Component : 5322
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.996487
Graph Density : 0.000878734622144112
Modularity : 0.168053
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 1 specified Twitter user (User List - @thebma). The network was obtained from Twitter on Tuesday, 07 July 2020 at 21:20 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 - @thebma
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:
[90] https://www.bma.org.uk/news-and-opinion
[54] https://www.bma.org.uk
[48] https://www.bma.org.uk/about-us/bma-media-centre
[43] https://www.bma.org.uk/what-we-do/working-with-europe#brexit
[40] https://www.bma.org.uk/advice-and-support/nhs-delivery-and-workforce/the-future/caring-supportive-collaborative-a-future-vision-for-the-nhs
[32] https://twitter.com/messages/compose?recipient_id=14243046
[21] https://www.bma.org.uk/advice-and-support/nhs-delivery-and-workforce#pressures
[19] https://www.bma.org.uk/
[18] https://www.bma.org.uk/advice-and-support/your-wellbeing
[16] https://www.bma.org.uk/advice-and-support/covid-19

Top URLs in Tweet in G1:
[90] https://www.bma.org.uk/news-and-opinion
[54] https://www.bma.org.uk
[48] https://www.bma.org.uk/about-us/bma-media-centre
[43] https://www.bma.org.uk/what-we-do/working-with-europe#brexit
[40] https://www.bma.org.uk/advice-and-support/nhs-delivery-and-workforce/the-future/caring-supportive-collaborative-a-future-vision-for-the-nhs
[32] https://twitter.com/messages/compose?recipient_id=14243046
[21] https://www.bma.org.uk/advice-and-support/nhs-delivery-and-workforce#pressures
[19] https://www.bma.org.uk/
[18] https://www.bma.org.uk/advice-and-support/your-wellbeing
[16] https://www.bma.org.uk/advice-and-support/covid-19

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[221] covid19
[106] nhsfuture
[101] brexit
[92] nhs
[46] arm2019
[34] bmawellbeing
[22] standagainstbullying
[21] navigatingbrexit
[15] medresearchawards
[15] writebma



Top Hashtags in Tweet in G1:
[221] covid19
[106] nhsfuture
[101] brexit
[92] nhs
[46] arm2019
[34] bmawellbeing
[22] standagainstbullying
[21] navigatingbrexit
[15] writebma
[15] medresearchawards

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

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