71 tweet IDs, Twitter, 12/13/2019 9:53:05 AM, 218807


FAQ | Problem?

Import of CwPAMS tweet and retweets setting count in "GET statuses/retweets/:id" at 100
Import of CwPAMS tweet and retweets setting count in "GET statuses/retweets/:id" at 100
From:
scotpublichealth
Uploaded on:
December 13, 2019
Short Description:
71 tweet IDs via NodeXL http://bit.ly/2YH1UcX
@cw_pharmacists
@drdianeashiru
@guardian
@osenadiaje
@alisonbutt01
@o_ndefo
@sherlymeilianti
@sarahm_cavanagh
@jessie_ima
@pharminpractice

Top hashtags:
#cwpams
#amr
#commonwealth
#antibioticguardian
#waaw2018

Description:
Description
The graph represents a network of 73 Twitter users whose recent tweets were included in a list of 71 tweet IDs, or who were replied to or mentioned in those tweets. The network was obtained from Twitter on Friday, 13 December 2019 at 09:51 UTC.

The tweets in the network were tweeted over the 0-minute period from Monday, 12 November 2018 at 11:20 UTC to Monday, 12 November 2018 at 11:20 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 : 73
Unique Edges : 212
Edges With Duplicates : 0
Total Edges : 212
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 73
Maximum Edges in a Connected Component : 212
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.893038
Graph Density : 0.0403348554033486
Modularity : 0
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 73 Twitter users whose recent tweets were included in a list of 71 tweet IDs, or who were replied to or mentioned in those tweets. The network was obtained from Twitter on Friday, 13 December 2019 at 09:51 UTC.

The tweets in the network were tweeted over the 0-minute period from Monday, 12 November 2018 at 11:20 UTC to Monday, 12 November 2018 at 11:20 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 : TwitterIDList
Graph Term : 71 tweet IDs
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 Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1] cwpams
[1] amr
[1] commonwealth
[1] antibioticguardian
[1] waaw2018



Top Hashtags in Tweet in G1:
[1] cwpams
[1] amr
[1] commonwealth
[1] antibioticguardian
[1] waaw2018

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

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