#HealthXPh, Twitter, 4/7/2021 11:14:21 PM, 252265


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#HealthXPh_2021-04-07_09-59-42.xlsx
#HealthXPh_2021-04-07_09-59-42.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
April 07, 2021
Short Description:
#HealthXPh via NodeXL https://bit.ly/3mAh3IT
@jkatzaman
@pokeyluwho
@bonedoc
@sandrawoodsmtl
@dd_invest
@jaifredlopez
@helenvmadamba
@healthxph
@edchateu
@mannou77

Top hashtags:
#healthxph
#twitterchat
#edchateu
#satchat
#edugladiators
#nt2t
#privacy
#leadupchat

Description:
Description
The graph represents a network of 13 Twitter users whose tweets in the requested range contained "#HealthXPh", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 07 April 2021 at 16:59 UTC.

The requested start date was Tuesday, 06 April 2021 at 00:01 UTC and the maximum number of days (going backward) was 6.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 2-day, 13-hour, 9-minute period from Saturday, 03 April 2021 at 10:45 UTC to Monday, 05 April 2021 at 23:55 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

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 : 13
Unique Edges : 7
Edges With Duplicates : 10
Total Edges : 17
Number of Edge Types : 4
Mentions : 5
Retweet : 5
MentionsInRetweet : 5
Tweet : 2
Self-Loops : 2
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 3
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 6
Maximum Edges in a Connected Component : 7
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.245902
Graph Density : 0.0641025641025641
Modularity : 0.49654
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 13 Twitter users whose tweets in the requested range contained "#HealthXPh", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 07 April 2021 at 16:59 UTC.

The requested start date was Tuesday, 06 April 2021 at 00:01 UTC and the maximum number of days (going backward) was 6.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 2-day, 13-hour, 9-minute period from Saturday, 03 April 2021 at 10:45 UTC to Monday, 05 April 2021 at 23:55 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : #HealthXPh
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 : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top Domains
Top Domains in Tweet in Entire Graph:
[1] medium.com

Top Domains in Tweet in G1:
[1] medium.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[8] healthxph
[4] twitterchat
[4] edchateu
[4] satchat
[4] edugladiators
[4] nt2t
[1] privacy
[1] leadupchat
[1] leadlap



Top Hashtags in Tweet in G1:
[1] privacy
[1] healthxph

Top Hashtags in Tweet in G2:
[4] twitterchat
[4] edchateu
[4] satchat
[4] healthxph
[4] edugladiators
[4] nt2t
[1] leadupchat
[1] leadlap

Top Hashtags in Tweet in G3:
[3] healthxph

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