The graph represents a network of 5,401 Twitter users whose tweets in the requested range contained "midwife OR midwifery", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 13 January 2019 at 02:09 UTC.
The requested start date was Sunday, 13 January 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 2-hour, 3-minute period from Monday, 07 January 2019 at 21:46 UTC to Saturday, 12 January 2019 at 23:49 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 : 5401
Unique Edges : 6669
Edges With Duplicates : 2411
Total Edges : 9080
Number of Edge Types : 3
Mentions : 7297
Tweet : 1170
Replies to : 613
Self-Loops : 1170
Reciprocated Vertex Pair Ratio : 0.049772283669486
Reciprocated Edge Ratio : 0.0948249147815308
Connected Components : 1218
Single-Vertex Connected Components : 691
Maximum Vertices in a Connected Component : 2808
Maximum Edges in a Connected Component : 6338
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.070491
Graph Density : 0.000221289610291647
Modularity : 0.661286
NodeXL Version : 1.0.1.407
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1066] health,professionals [1055] professionals,right [1053] assistants,health [1053] right,specific [1053] specific,skills [843] â,œnurses [843] œnurses,midwives [843] midwives,doctorsâ [843] doctorsâ,assistants [840] skills,trainâ Top Word Pairs in Tweet in G1:
[1015] assistants,health [1015] health,professionals [1015] professionals,right [1015] right,specific [1015] specific,skills [810] â,œnurses [810] œnurses,midwives [810] midwives,doctorsâ [810] doctorsâ,assistants [809] skills,trainâ Top Word Pairs in Tweet in G2:
[208] ã,ã [127] call,midwife [52] ðÿ,ðÿ [43] nursing,midwifery [36] nurse,midwife [31] å,ã [29] ø,ø [28] iâ,m [24] midwife,mountains [21] 'superwoman',midwife Top Word Pairs in Tweet in G3:
[106] dunkleybent,yanarichens [73] lia_bri,gibblejo [73] yanarichens,aims_online [72] jacquegerrard,dunkleybent [71] aims_online,radmidassoc [69] gibblejo,midwife_claire [68] midwife_claire,jacquegerrard [60] humanisingbirth,lia_bri [57] chief,midwifery [57] midwifery,officer Top Word Pairs in Tweet in G4:
[132] call,midwife [98] new,series [79] behind,scenes [75] midwife,new [73] series,begins [67] uk,fans [67] go,till [67] till,new [67] begins,exclusive [67] exclusive,behind Top Word Pairs in Tweet in G5:
[474] ø,ø [240] ø,ù [230] ù,ø [138] ú,ø [118] ù,ú [117] ù,û [104] ø,ú [102] û,ø [100] û,û [88] ûœ,ø Top Word Pairs in Tweet in G6:
[92] nursing,associates [92] nmcnews,nursing [91] associates,new [91] new,members [91] members,nursing [91] nursing,wider [91] wider,healthcare [91] healthcare,teams [91] teams,england [91] england,bridging Top Word Pairs in Tweet in G7:
[47] nursing,midwifery [22] rmaynursedir,thanks [20] thanks,matthancock [20] matthancock,looking [20] looking,forward [20] forward,leading [20] leading,best [20] best,profession [20] profession,world [20] world,thatâ Top Word Pairs in Tweet in G8:
[21] nurse,midwife [16] nikia,grayson [14] grayson,dnp [14] dnp,mph [14] mph,cnm [14] cnm,fnp [14] fnp,family [14] family,nurse [14] midwife,choices [14] choices,memphis Top Word Pairs in Tweet in G9:
[92] today,125th [92] 125th,anniversary [92] anniversary,st [92] st,maximilian [92] maximilian,kolbe's [92] kolbe's,birth [92] birth,born [92] born,zdunska [92] zdunska,wola [92] wola,weaver Top Word Pairs in Tweet in G10:
[17] nurse,midwife [7] delighted,open [7] open,applications [7] applications,sept [7] sept,2019 [7] 2019,intake [7] intake,tcd_snm [7] tcd_snm,18 [7] 18,month [7] month,higher Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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