User List, Twitter, 6/20/2020 7:28:25 PM, 229647


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Twitter Users - @nejm user List
Twitter Users - @nejm user List
From:
scotpublichealth
Uploaded on:
June 20, 2020
Short Description:
User List via NodeXL https://bit.ly/3fMWtAf
@nejm
@jimdupree4
@jamesopeabody
@richardsarlemd
@hafronjason
@cancerdrlane
@peepeedoctor
@caroline_of_b
@drlapook
@joanneconroymd

Top hashtags:
#covid19
#sarscov2
#visualabstract
#nejmarchive
#meded
#mgh
#asco19

Description:
Description
The graph represents a network of 1 specified Twitter user (User List). The network was obtained from Twitter on Saturday, 20 June 2020 at 18:52 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 : 205
Unique Edges : 136
Edges With Duplicates : 3259
Total Edges : 3395
Self-Loops : 2686
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 205
Maximum Edges in a Connected Component : 3395
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.980535
Graph Density : 0.0048780487804878
Modularity : 0.056607
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 Saturday, 20 June 2020 at 18:52 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:
[44] http://www.nejm.org/multimedia/quick-take-video
[27] https://www.nejm.org/image-challenge
[20] https://nejm.org/
[17] http://www.nejm.org/image-challenge
[14] https://resident360.nejm.org/forms/resident-course-application-2020
[9] https://www.nejm.org/multimedia/visual-abstracts
[8] https://itunes.apple.com/us/podcast/nejm-this-week-audio-summaries/id386170702
[7] https://www.nejm.org/doi/full/10.1056/NEJMra1713263
[7] https://illustrated-glossary.nejm.org/index.html
[6] https://www.nejm.org/doi/full/10.1056/NEJMoa1813909

Top URLs in Tweet in G1:
[44] http://www.nejm.org/multimedia/quick-take-video
[27] https://www.nejm.org/image-challenge
[20] https://nejm.org/
[17] http://www.nejm.org/image-challenge
[14] https://resident360.nejm.org/forms/resident-course-application-2020
[9] https://www.nejm.org/multimedia/visual-abstracts
[8] https://itunes.apple.com/us/podcast/nejm-this-week-audio-summaries/id386170702
[7] https://illustrated-glossary.nejm.org/index.html
[7] https://www.nejm.org/doi/full/10.1056/NEJMra1713263
[6] https://www.nejm.org/doi/full/10.1056/NEJMoa1813909

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[546] covid19
[308] sarscov2
[89] visualabstract
[41] nejmarchive
[35] meded
[26] mgh
[21] asco19
[20] medstudenttwitter
[20] ats2019
[19] vaping



Top Hashtags in Tweet in G1:
[546] covid19
[308] sarscov2
[89] visualabstract
[41] nejmarchive
[35] meded
[26] mgh
[21] asco19
[20] ats2019
[20] medstudenttwitter
[19] vaping

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

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