The graph represents a network of 7,884 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, 08 November 2020 at 03:25 UTC.
The requested start date was Sunday, 08 November 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 5-day, 1-hour, 2-minute period from Sunday, 01 November 2020 at 19:04 UTC to Friday, 06 November 2020 at 20:07 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 : 7884
Unique Edges : 5920
Edges With Duplicates : 9585
Total Edges : 15505
Number of Edge Types : 5
Tweet : 2051
Retweet : 3734
MentionsInRetweet : 5224
Mentions : 2991
Replies to : 1505
Self-Loops : 2084
Reciprocated Vertex Pair Ratio : 0.0474127557160048
Reciprocated Edge Ratio : 0.0905330882352941
Connected Components : 1891
Single-Vertex Connected Components : 852
Maximum Vertices in a Connected Component : 2651
Maximum Edges in a Connected Component : 7638
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.345806
Graph Density : 0.000140049234771882
Modularity : 0.552507
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,884 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, 08 November 2020 at 03:25 UTC.
The requested start date was Sunday, 08 November 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 5-day, 1-hour, 2-minute period from Sunday, 01 November 2020 at 19:04 UTC to Friday, 06 November 2020 at 20:07 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 : midwife OR midwifery
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:
[556] nursing,midwifery [436] nurse,midwife [333] call,midwife [237] health,baby [231] important,see [230] concerned,health [228] appointment,concerned [228] baby,important [195] midwife,afab [195] afab,amab Top Word Pairs in Tweet in G1:
[104] call,midwife [59] nursing,midwifery [53] nurse,midwife [22] flu,vaccine [18] #doula,#midwife [18] schools,nursing [17] free,flu [16] gp,midwife [15] watching,call [15] cat,arrives Top Word Pairs in Tweet in G2:
[39] midwife_aine,brenda_midwife [38] student,midwife [36] ruthmidwife,elke_midwife [36] elke_midwife,dixonaisling [35] cmahomebirthirl,hselive [35] hselive,ruthmidwife [35] dixonaisling,midwife_aine [31] midwivesrcm,student [23] brenda_midwife,amidwife15 [21] amidwife15,corkmidwife Top Word Pairs in Tweet in G3:
[206] health,baby [200] concerned,health [200] baby,important [199] appointment,concerned [199] important,see [154] nhsengland,appointment [154] see,spe [34] maternity,team [32] maternity,unit [31] see,speak Top Word Pairs in Tweet in G4:
[193] midwife,afab [193] afab,amab [193] amab,really [193] really,pisses [193] pisses,happen [193] happen,government [193] government,issued [193] issued,form [193] form,required [193] required,note Top Word Pairs in Tweet in G5:
[72] nurse,midwife [70] digital,nurse [68] join,team [67] delighted,recruiting [67] recruiting,experienced [67] experienced,digital [67] midwife,join [67] team,deputy [67] deputy,cnio [67] cnio,nhsx Top Word Pairs in Tweet in G6:
[54] nursing,midwifery [25] student,nurse [23] nurse,midwifery [21] animations,key [20] key,aspects [20] aspects,role [19] role,nursing [17] concerns,sharing [17] sharing,student [17] midwifery,network Top Word Pairs in Tweet in G7:
[38] nursing,midwifery [22] hosted,tcd_snm [19] extended,10 [17] 10,november [15] call,abstracts [15] abstracts,extended [15] november,hosted [15] tcd_snm,#nursing [15] #nursing,#midwifery [14] #midwifery,#research Top Word Pairs in Tweet in G8:
[92] nursing,midwifery [92] midwifery,council [92] council,nigeria [64] selfies,induction [64] induction,nursing [64] nigeria,rn [64] rn,rm [64] rm,bnsc [64] bnsc,once [64] once,graduate Top Word Pairs in Tweet in G9:
[103] dear,pregnant [103] pregnant,women [79] pastor,midwife [78] women,please [78] please,prophetess [78] prophetess,pastor [78] midwife,determine [78] determine,give [78] give,birth [77] proudnursemj,dear Top Word Pairs in Tweet in G10:
[72] elizabeth,o'farrell [66] cumann,mban [61] #onthisday,1883 [61] 1883,elizabeth [61] o'farrell,born [61] born,dublin [61] dublin,city [61] city,midwife [61] midwife,cumann [61] mban,same Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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 Mentioned in G10:
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: