User List, Twitter, 6/21/2020 6:57:07 AM, 229677


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Twitter Users - naturemedicine - User List
Twitter Users - naturemedicine - User List
From:
scotpublichealth
Uploaded on:
June 21, 2020
Short Description:
User List via NodeXL https://bit.ly/2NiwoNy
@naturemedicine
@cayetanoheredia
@gregdore2
@nihrresearch
@altmetric
@jjaimemiranda
@cronicasperu
@oziadias
@dana_peer
@labmassague

Top hashtags:
#cancer
#covid19
#immunotherapy
#nmednewsbeat
#microbiome
#nmedhighlight
#hiv

Description:
Description
The graph represents a network of 1 specified Twitter user (User List). The network was obtained from Twitter on Sunday, 21 June 2020 at 06:42 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 : 817
Unique Edges : 455
Edges With Duplicates : 3901
Total Edges : 4356
Self-Loops : 1788
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 817
Maximum Edges in a Connected Component : 4356
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.995107
Graph Density : 0.00122399020807834
Modularity : 0.152308
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 1 specified Twitter user (User List). The network was obtained from Twitter on Sunday, 21 June 2020 at 06:42 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:
[7] https://www.nature.com/articles/s41591-019-0693-y
[7] https://www.nature.com/articles/s41591-018-0314-1
[5] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41591-020-0802-y
[4] https://www.nature.com/articles/s41591-019-0521-4
[4] https://www.nature.com/articles/s41591-019-0525-0
[4] https://med.stanford.edu/frontierofaicare.html
[4] https://www.nature.com/articles/s41591-019-0401-y
[4] https://www.nature.com/articles/s41591-019-0508-1
[4] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fd41591-018-00002-5
[4] https://www.nature.com/articles/s41591-019-0496-1

Top URLs in Tweet in G1:
[7] https://www.nature.com/articles/s41591-019-0693-y
[7] https://www.nature.com/articles/s41591-018-0314-1
[5] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41591-020-0802-y
[4] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fd41591-018-00002-5
[4] https://med.stanford.edu/frontierofaicare.html
[4] https://www.nature.com/articles/s41591-019-0496-1
[4] https://www.nature.com/articles/s41591-019-0521-4
[4] https://www.nature.com/articles/s41591-019-0508-1
[4] https://www.nature.com/articles/s41591-019-0401-y
[4] https://www.nature.com/articles/s41591-019-0525-0

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[177] cancer
[138] covid19
[129] immunotherapy
[99] nmednewsbeat
[89] microbiome
[78] nmedhighlight
[73] hiv
[64] nmedclinical
[58] crispr
[55] nmedtwittertakeover



Top Hashtags in Tweet in G1:
[177] cancer
[138] covid19
[129] immunotherapy
[99] nmednewsbeat
[89] microbiome
[78] nmedhighlight
[73] hiv
[64] nmedclinical
[58] crispr
[55] nmedtwittertakeover

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

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