The graph represents a network of 5,486 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 Monday, 17 February 2020 at 01:52 UTC.
The requested start date was Monday, 17 February 2020 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 2-day, 6-hour, 45-minute period from Wednesday, 12 February 2020 at 12:44 UTC to Friday, 14 February 2020 at 19:29 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 : 5486
Unique Edges : 7323
Edges With Duplicates : 2387
Total Edges : 9710
Number of Edge Types : 4
MentionsInRetweet : 4438
Tweet : 1086
Mentions : 3356
Replies to : 830
Self-Loops : 1086
Reciprocated Vertex Pair Ratio : 0.0528679026651217
Reciprocated Edge Ratio : 0.10042646856514
Connected Components : 1080
Single-Vertex Connected Components : 450
Maximum Vertices in a Connected Component : 2324
Maximum Edges in a Connected Component : 6239
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.513052
Graph Density : 0.000241569574131019
Modularity : 0.68599
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 5,486 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 Monday, 17 February 2020 at 01:52 UTC.
The requested start date was Monday, 17 February 2020 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 2-day, 6-hour, 45-minute period from Wednesday, 12 February 2020 at 12:44 UTC to Friday, 14 February 2020 at 19:29 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:
[409] nurse,midwife [308] call,midwife [284] nursing,midwifery [207] year,nurse [109] nurses,midwives [91] exclusive,group [91] group,somalian [91] somalian,thugs [91] thugs,wreak [91] wreak,terror Top Word Pairs in Tweet in G1:
[65] invest,midwifery [65] better,maternal [64] fact,countries [64] countries,invest [64] midwifery,better [64] maternal,health [64] health,rates [64] rates,#yearofthemidwife [64] #yearofthemidwife,uk [64] uk,half Top Word Pairs in Tweet in G2:
[102] call,midwife [37] nurse,midwife [24] nursing,midwifery [20] shows,know [19] year,nurse [11] silent,witness [8] midwife,appointment [8] episode,call [8] international,year [7] student,midwife Top Word Pairs in Tweet in G3:
[74] #loveyourmidwife,day [53] #loveyourmidwife,#perceptionsofmidwifery [48] teamcmido,bevmatthewsrn [47] valentines,day [43] love,profession [35] today,#loveyourmidwife [29] nurses,midwives [28] sharing,stories [26] #yearofthenurseandmidwife,sharing [25] help,celebrate Top Word Pairs in Tweet in G4:
[57] nurse,midwife [46] year,nurse [21] enter,#nursinginfocus [21] #nursinginfocus,photo [21] photo,contest [21] contest,show [21] show,everyone [21] everyone,passionate [21] passionate,wonderful [21] wonderful,work Top Word Pairs in Tweet in G5:
[91] exclusive,group [91] group,somalian [91] somalian,thugs [91] thugs,wreak [91] wreak,terror [91] terror,birmingham [91] birmingham,hospital [91] hospital,arrested [91] arrested,over [91] over,merciless Top Word Pairs in Tweet in G6:
[55] story,tells [55] tells,#life [55] #life,#tragedy [55] #tragedy,#survival [55] #survival,#ptsd [55] journey,#dream [55] #dream,come [49] #ptsd,journey [45] come,true [37] #women,#babies Top Word Pairs in Tweet in G7:
[48] call,midwife [30] things,wish [30] wish,see [30] see,those [30] those,fear [30] fear,see [30] see,call [30] midwife,sunday [30] sunday,8pm [30] 8pm,bbcone Top Word Pairs in Tweet in G8:
[20] public,lecture [10] free,public [10] lecture,resilience [10] resilience,distraction [10] distraction,public [10] lecture,dr [10] dr,colman [10] colman,noctor [10] noctor,thursday [10] thursday,february Top Word Pairs in Tweet in G9:
[11] nurse,midwife [11] #nurses,#midwives [11] nursing,midwifery [10] work,#nurses [10] #midwives,#carers [10] #carers,everywhere [10] everywhere,australians [10] australians,share [10] share,love [10] love,favourite Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G7:
Top Replied-To in G8:
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:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: