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Twitter Users User List - @publichealth (experimental version)
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From:
scotpublichealth
Uploaded on:
June 29, 2020
Short Description:
User List via NodeXL https://bit.ly/31oR1jn
@publichealth
@laurenunderwood
@lefty_l
@stevejoffe
@aphacoh
@nhpubhealth
@jinterlandi
@drrichbesser
@iowapha
@phlpublichealth

Top hashtags:
#covid19
#covid19conversations
#speakforhealth
#apha2019
#nphw

Description:
Description
The graph represents a network of 1 specified Twitter user (User List). The network was obtained from Twitter on Monday, 29 June 2020 at 16:58 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 : 958
Unique Edges : 574
Edges With Duplicates : 3960
Total Edges : 4534
Self-Loops : 966
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 958
Maximum Edges in a Connected Component : 4534
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.995827
Graph Density : 0.00104384133611691
Modularity : 0.166584
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 Monday, 29 June 2020 at 16:58 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:
[19] https://covid19conversations.org/
[12] http://www.publichealthnewswire.org/pagenotfound
[11] http://thenationshealth.aphapublications.org/site/misc/NHNewsQuiz.xhtml
[10] https://www.covid19conversations.org/
[9] https://goo.gl/aasVQ
[7] https://apha.confex.com/apha/2020/cfp.cgi
[6] https://www.twtvite.com/
[4] https://www.apha.org/topics-and-issues/climate-change/eco-bookworms
[4] https://apha.org/events-and-meetings/apha-calendar/2019/gun-violence-prevention-forum
[4] https://www.apha.org/policy-action-institute

Top URLs in Tweet in G1:
[19] https://covid19conversations.org/
[12] http://www.publichealthnewswire.org/pagenotfound
[11] http://thenationshealth.aphapublications.org/site/misc/NHNewsQuiz.xhtml
[10] https://www.covid19conversations.org/
[9] https://goo.gl/aasVQ
[7] https://apha.confex.com/apha/2020/cfp.cgi
[6] https://www.twtvite.com/
[4] https://www.stopbullying.gov/research-resources/bystanders-are-essential/index.html
[4] https://www.apha.org/topics-and-issues/mental-health
[4] https://apha.org/events-and-meetings/apha-calendar/2019/gun-violence-prevention-forum

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[415] covid19
[196] covid19conversations
[163] speakforhealth
[110] apha2019
[109] nphw
[60] climatechangeshealth
[49] gunpoliciesthatwork
[47] publichealth
[41] nphwchat
[29] joinallofus



Top Hashtags in Tweet in G1:
[415] covid19
[196] covid19conversations
[163] speakforhealth
[110] apha2019
[109] nphw
[60] climatechangeshealth
[49] gunpoliciesthatwork
[47] publichealth
[41] nphwchat
[29] joinallofus

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