The graph represents a network of 3 Twitter users whose tweets in the requested range contained "#FutureMidwifery", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 05 August 2020 at 13:08 UTC.
The requested start date was Wednesday, 05 August 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
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 : 3
Unique Edges : 1
Edges With Duplicates : 4
Total Edges : 5
Number of Edge Types : 3
Retweet : 2
Tweet : 2
MentionsInRetweet : 1
Self-Loops : 3
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 2
Maximum Edges in a Connected Component : 3
Maximum Geodesic Distance (Diameter) : 1
Average Geodesic Distance : 0.4
Graph Density : 0.166666666666667
Modularity : 0.3
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 3 Twitter users whose tweets in the requested range contained "#FutureMidwifery", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 05 August 2020 at 13:08 UTC.
The requested start date was Wednesday, 05 August 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
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 : #FutureMidwifery
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 Word Pairs in Tweet in Entire Graph:
[2] used,fruit [2] fruit,gestation [2] gestation,game [2] game,compare [2] compare,size [2] size,unborn [2] unborn,common [2] common,pieces [2] pieces,fruit [2] fruit,worked Top Word Pairs in Tweet in G1:
[2] starting,'fall [2] 'fall,love [2] love,february' [2] february',midwifery [2] midwifery,transformation [2] transformation,program [2] program,sharing [2] sharing,love [2] love,door Top Word Pairs in Tweet in G2:
[2] used,fruit [2] fruit,gestation [2] gestation,game [2] game,compare [2] compare,size [2] size,unborn [2] unborn,common [2] common,pieces [2] pieces,fruit [2] fruit,worked 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: