The graph represents a network of 22 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, 03 June 2020 at 12:52 UTC.
The requested start date was Wednesday, 03 June 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 87-day, 8-hour, 0-minute period from Tuesday, 03 March 2020 at 12:28 UTC to Friday, 29 May 2020 at 20:29 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 : 22
Unique Edges : 20
Edges With Duplicates : 17
Total Edges : 37
Number of Edge Types : 4
Retweet : 7
Tweet : 5
MentionsInRetweet : 12
Mentions : 13
Self-Loops : 7
Reciprocated Vertex Pair Ratio : 0.136363636363636
Reciprocated Edge Ratio : 0.24
Connected Components : 6
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 8
Maximum Edges in a Connected Component : 14
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.322835
Graph Density : 0.0541125541125541
Modularity : 0.496713
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 22 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, 03 June 2020 at 12:52 UTC.
The requested start date was Wednesday, 03 June 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 87-day, 8-hour, 0-minute period from Tuesday, 03 March 2020 at 12:28 UTC to Friday, 29 May 2020 at 20:29 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 Word Pairs in Tweet in G2:
[4] great,davidharling1 [4] davidharling1,please [4] please,keep [4] keep,creating [4] creating,#futurenursing [4] #futurenursing,#futuremidwifery [4] #futuremidwifery,bevmatthews_ [4] bevmatthews_,paulnvaughan Top Word Pairs in Tweet in G3:
[2] day,28 [2] 28,horizonsnhs [2] horizonsnhs,#30daychallenge [2] #30daychallenge,nurse [2] nurse,words [2] words,#futurenursing Top Word Pairs in Tweet in G4:
[2] teaching,together [2] together,sam [2] sam,steve [2] steve,nurse [2] nurse,patient [2] patient,#mentalhealth [] #mentalhealth,#medicines [] #medicines,#prescribing [] #prescribing,#patients [] #patients,#futurenursing Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: