User List - @publichealth, Twitter, 4/1/2021 6:47:15 AM, 251708


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Twitter Users User List - @publichealth
Twitter Users User List - @publichealth
From:
scotpublichealth
Uploaded on:
April 01, 2021
Short Description:
User List - @publichealth via NodeXL https://bit.ly/31BXjei
@publichealth
@katie_lawall
@sameera_nayak
@endpolviolence
@eji_org
@phxvahealthcare
@jsihealth
@womeningh
@deptvetaffairs
@jon_gilesdhsc

Top hashtags:
#covid19
#covid19conversations
#apha2020
#publichealth

Description:
Description
The graph represents a network of 1 specified Twitter user (User List - @publichealth). The network was obtained from Twitter on Thursday, 01 April 2021 at 06:28 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 : 1132
Unique Edges : 665
Edges With Duplicates : 4139
Total Edges : 4804
Self-Loops : 1031
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1132
Maximum Edges in a Connected Component : 4804
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.996468
Graph Density : 0.00088339222614841
Modularity : 0.180057
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 1 specified Twitter user (User List - @publichealth). The network was obtained from Twitter on Thursday, 01 April 2021 at 06:28 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 - @publichealth
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://thenationshealth.aphapublications.org/site/misc/NHNewsQuiz.xhtml
[31] https://www.covid19conversations.org/
[20] https://ajph.aphapublications.org/toc/ajph/0/0
[12] https://covid19conversations.org/
[7] https://www.apha.org/topics-and-issues/climate-change/eco-bookworms
[5] https://apha.confex.com/apha/2021/cfp.cgi
[5] https://apha.confex.com/apha/2020/cfp.cgi
[5] https://www.apha.org/policy-action-institute
[5] https://www.apha.org/events-and-meetings/apha-calendar/2020/2020-apha-policy-action-institute
[5] https://healthstemencement.org/

Top URLs in Tweet in G1:
[44] http://thenationshealth.aphapublications.org/site/misc/NHNewsQuiz.xhtml
[31] https://www.covid19conversations.org/
[20] https://ajph.aphapublications.org/toc/ajph/0/0
[12] https://covid19conversations.org/
[7] https://www.apha.org/topics-and-issues/climate-change/eco-bookworms
[5] https://apha.confex.com/apha/2020/cfp.cgi
[5] https://www.apha.org/policy-action-institute
[5] https://www.apha.org/events-and-meetings/apha-calendar/2020/2020-apha-policy-action-institute
[5] https://healthstemencement.org/
[5] https://health.gov/news/202007/join-us-healthy-people-2030-launch

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[844] covid19
[347] covid19conversations
[277] apha2020
[139] publichealth
[116] racismorhealth
[111] speakforhealth
[84] hp2030
[83] aphawebinar
[69] nphwchat
[68] nphw



Top Hashtags in Tweet in G1:
[844] covid19
[347] covid19conversations
[277] apha2020
[139] publichealth
[116] racismorhealth
[111] speakforhealth
[84] hp2030
[83] aphawebinar
[69] nphwchat
[68] nphw

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

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