The graph represents a network of 9 Twitter users whose tweets in the requested range contained "#FutureNursing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 13 January 2021 at 13:58 UTC.
The requested start date was Wednesday, 13 January 2021 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 0-minute period from Thursday, 10 December 2020 at 14:59 UTC to Thursday, 10 December 2020 at 14:59 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 : 9
Unique Edges : 8
Edges With Duplicates : 0
Total Edges : 8
Number of Edge Types : 2
Replies to : 1
Mentions : 7
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 : 9
Maximum Edges in a Connected Component : 8
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.580247
Graph Density : 0.111111111111111
Modularity : 0
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 9 Twitter users whose tweets in the requested range contained "#FutureNursing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 13 January 2021 at 13:58 UTC.
The requested start date was Wednesday, 13 January 2021 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 0-minute period from Thursday, 10 December 2020 at 14:59 UTC to Thursday, 10 December 2020 at 14:59 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 : #FutureNursing
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 Domains
Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Tweeters in Entire Graph:
Top Tweeters in G1: