The graph represents a network of 94 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, 12 February 2020 at 20:58 UTC.
The requested start date was Wednesday, 12 February 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 69-day, 7-hour, 40-minute period from Tuesday, 03 December 2019 at 12:31 UTC to Monday, 10 February 2020 at 20:12 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 : 94
Unique Edges : 108
Edges With Duplicates : 9
Total Edges : 117
Number of Edge Types : 4
Replies to : 7
Mentions : 59
MentionsInRetweet : 43
Tweet : 8
Self-Loops : 8
Reciprocated Vertex Pair Ratio : 0.0495049504950495
Reciprocated Edge Ratio : 0.0943396226415094
Connected Components : 11
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 27
Maximum Edges in a Connected Component : 40
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.920428
Graph Density : 0.012125371768474
Modularity : 0.727482
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 94 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, 12 February 2020 at 20:58 UTC.
The requested start date was Wednesday, 12 February 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 69-day, 7-hour, 40-minute period from Tuesday, 03 December 2019 at 12:31 UTC to Monday, 10 February 2020 at 20:12 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 Entire Graph:
[6] roseland,academy [6] academy,careers [6] careers,event [6] event,seeking [6] seeking,those [6] those,calling [6] calling,work [6] work,mental [6] mental,health [6] health,#nhscareers Top Word Pairs in Tweet in G1:
[4] great,meeting [4] meeting,apschool [4] apschool,morning [4] morning,preceptorwhitt [4] preceptorwhitt,crimpolene [4] crimpolene,firm [4] firm,plan [4] plan,supporting [4] supporting,local [4] local,#school Top Word Pairs in Tweet in G3:
[5] being,#rcniawards [5] #rcniawards,finalist [5] finalist,amazing [5] amazing,experience [5] experience,encourage [5] encourage,anyone [5] anyone,enter [5] enter,nominate [4] jimjam1306,being [4] today,older Top Word Pairs in Tweet in G5:
[6] roseland,academy [6] academy,careers [6] careers,event [6] event,seeking [6] seeking,those [6] those,calling [6] calling,work [6] work,mental [6] mental,health [6] health,#nhscareers Top Word Pairs in Tweet in G6:
[2] samstudentnurse,westudentnurse [2] westudentnurse,gpnsnn [2] gpnsnn,donnajkemp [2] donnajkemp,perhaps [2] perhaps,another [2] another,factor [2] factor,need [2] need,influence [2] influence,#bamecontent Top Word Pairs in Tweet in G7:
[4] great,insight [4] insight,impact [4] impact,nursing [4] nursing,programme [4] programme,having [4] having,health [4] health,service [4] service,northern [4] northern,ireland [3] oubelfast,great Top Word Pairs in Tweet in G8:
[4] nursing,midwifery [3] midwifery,followers [3] followers,please [3] please,sign [3] sign,ambassador [3] ambassador,transforming [3] transforming,perception [3] perception,nursing [2] wendypresto,nursing Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: