The graph represents a network of 14 Twitter users whose recent tweets contained "covidhealthmag", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 31 August 2020 at 22:56 UTC.
The tweets in the network were tweeted over the 18-hour, 57-minute period from Friday, 28 August 2020 at 00:04 UTC to Friday, 28 August 2020 at 19:01 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
Vertices : 14
Unique Edges : 26
Edges With Duplicates : 2
Total Edges : 28
Number of Edge Types : 3
Mentions : 8
Retweet : 8
MentionsInRetweet : 12
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 : 14
Maximum Edges in a Connected Component : 28
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.72449
Graph Density : 0.148351648351648
Modularity : 0.325255
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 14 Twitter users whose recent tweets contained "covidhealthmag", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 31 August 2020 at 22:56 UTC.
The tweets in the network were tweeted over the 18-hour, 57-minute period from Friday, 28 August 2020 at 00:04 UTC to Friday, 28 August 2020 at 19:01 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 : TwitterSearch
Graph Term : covidhealthmag
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[7] smart,strong [7] strong,announces [7] announces,launch [7] launch,covidhealthmag [7] covidhealthmag,trusted [7] trusted,source [7] source,information [7] information,assist [7] assist,recovery [7] recovery,prevention Top Word Pairs in Tweet in G1:
[6] smart,strong [6] strong,announces [6] announces,launch [6] launch,covidhealthmag [6] covidhealthmag,trusted [6] trusted,source [6] source,information [6] information,assist [6] assist,recovery [6] recovery,prevention Top Word Pairs in Tweet in G2:
[3] make,big [3] big,difference [3] difference,accuracy [3] accuracy,high [3] high,pcr [3] pcr,tests [3] tests,processed [3] processed,lab [3] lab,#coronavirus [3] #coronavirus,#covid19 Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2: