The graph represents a network of 265 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 Thursday, 19 December 2019 at 21:11 UTC.
The requested start date was Wednesday, 18 December 2019 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 71-day, 1-hour, 20-minute period from Tuesday, 01 October 2019 at 15:22 UTC to Wednesday, 11 December 2019 at 16:43 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 : 265
Unique Edges : 648
Edges With Duplicates : 290
Total Edges : 938
Number of Edge Types : 3
Mentions : 892
Tweet : 29
Replies to : 17
Self-Loops : 29
Reciprocated Vertex Pair Ratio : 0.0724852071005917
Reciprocated Edge Ratio : 0.135172413793103
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 255
Maximum Edges in a Connected Component : 930
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.057643
Graph Density : 0.0103630646083476
Modularity : 0.42489
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 265 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 Thursday, 19 December 2019 at 21:11 UTC.
The requested start date was Wednesday, 18 December 2019 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 71-day, 1-hour, 20-minute period from Tuesday, 01 October 2019 at 15:22 UTC to Wednesday, 11 December 2019 at 16:43 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 : #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:
[44] 30,day [42] day,challenge [32] sign,cnoengland [32] cnoengland,'nursing [32] 'nursing,midwifery [32] midwifery,matters' [32] matters',bulletin [32] bulletin,each [32] each,month [32] month,hear Top Word Pairs in Tweet in G1:
[14] 30,day [14] day,challenge [10] transforming,perceptions [10] perceptions,midwifery [8] love,30 [8] challenge,october's [8] october's,transforming [8] midwifery,challenge [8] challenge,focused [8] focused,#joyatwork Top Word Pairs in Tweet in G2:
[10] midwifery,ambassador [8] dm,bevmatthewsrn [8] 30,day [8] transforming,perceptions [7] midwives,interested [7] interested,registering [7] registering,midwifery [7] ambassador,please [7] please,dm [7] day,challenge Top Word Pairs in Tweet in G3:
[11] tpm_journal,tsm_journal [9] midwife_claire,bloodtobaby [9] bloodtobaby,sagefemmesb [9] sagefemmesb,adweeks [9] adweeks,jennythem [9] jennythem,tpm_journal [9] tsm_journal,millihill [9] millihill,jacquegerrard [9] jacquegerrard,deirdremunro [9] deirdremunro,hannah Top Word Pairs in Tweet in G4:
[28] sign,cnoengland [28] cnoengland,'nursing [28] 'nursing,midwifery [28] midwifery,matters' [28] matters',bulletin [28] bulletin,each [28] each,month [28] month,hear [28] hear,#futurenurse [26] teamcno_,sign Top Word Pairs in Tweet in G5:
[8] midwife_claire,bevmatthewsrn [8] bevmatthewsrn,dunkleybent [8] dunkleybent,yanarichens [8] yanarichens,horizonsnhs [8] horizonsnhs,kathrynperera [8] kathrynperera,benashnaz [8] benashnaz,jcmireland [8] jcmireland,gallyhj [8] gallyhj,teresashalofsky [4] very,much Top Word Pairs in Tweet in G6:
[9] nurse,midwife [9] young,people [7] horizonsnhs,nurse [6] 30,day [5] midwife,passionate [5] passionate,inspiring [5] inspiring,diverse [5] diverse,range [5] range,young [5] people,consider Top Word Pairs in Tweet in G7:
[6] act,kindness [4] brilliant,capital [4] capital,midwife [4] midwife,coffee [4] coffee,morning [4] morning,qeh [4] qeh,today [4] today,unifying [4] unifying,midwifery [4] midwifery,london Top Word Pairs in Tweet in G9:
[3] such,great [3] great,visual [3] visual,#nursingnowengland [3] #nursingnowengland,#futuremidwifery [3] #futuremidwifery,katehoward5 [3] katehoward5,julieshepnhft [3] julieshepnhft,kennygibsonnhs [2] crishniw,such [2] bevmatthewsrn,better [2] better,way Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: