The graph represents a network of 32 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, 21 October 2020 at 12:58 UTC.
The requested start date was Wednesday, 21 October 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 23-day, 20-hour, 58-minute period from Wednesday, 05 August 2020 at 20:47 UTC to Saturday, 29 August 2020 at 17:46 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 : 32
Unique Edges : 26
Edges With Duplicates : 50
Total Edges : 76
Number of Edge Types : 5
Retweet : 24
MentionsInRetweet : 40
Tweet : 2
Mentions : 8
Replies to : 2
Self-Loops : 2
Reciprocated Vertex Pair Ratio : 0.0681818181818182
Reciprocated Edge Ratio : 0.127659574468085
Connected Components : 3
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 20
Maximum Edges in a Connected Component : 46
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.698413
Graph Density : 0.0473790322580645
Modularity : 0.419797
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 32 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, 21 October 2020 at 12:58 UTC.
The requested start date was Wednesday, 21 October 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 23-day, 20-hour, 58-minute period from Wednesday, 05 August 2020 at 20:47 UTC to Saturday, 29 August 2020 at 17:46 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 Word Pairs in Tweet in Entire Graph:
[14] great,erudition [14] erudition,work [14] work,nurse [14] nurse,david [14] david,ogunlabi [14] ogunlabi,outstanding [14] outstanding,inkling [14] inkling,potentials [14] potentials,locked [13] thefawoleisrael,great Top Word Pairs in Tweet in G1:
[14] great,erudition [14] erudition,work [14] work,nurse [14] nurse,david [14] david,ogunlabi [14] ogunlabi,outstanding [14] outstanding,inkling [14] inkling,potentials [14] potentials,locked [13] thefawoleisrael,great Top Word Pairs in Tweet in G2:
[3] keithcouper,rcnresearchsoc [3] rcnresearchsoc,nursingpolicy [3] nursingpolicy,nursingnotesuk [3] nursingnotesuk,julessanders2 [3] julessanders2,ctandrmt [3] ctandrmt,wenurses [3] wenurses,wemidwives [3] wemidwives,bridiekent [2] janeeball,keithcouper [2] bridiekent,impor Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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:
Top Tweeters in G3: