The graph represents a network of 7,394 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, 03 October 2021 at 03:37 UTC.
The requested start date was Sunday, 03 October 2021 at 00:01 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 4-day, 16-hour, 26-minute period from Monday, 27 September 2021 at 12:10 UTC to Saturday, 02 October 2021 at 04:36 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 : 7394
Unique Edges : 6379
Edges With Duplicates : 11628
Total Edges : 18007
Number of Edge Types : 5
Mentions : 4107
Tweet : 2049
Retweet : 3769
MentionsInRetweet : 6130
Replies to : 1952
Self-Loops : 2075
Reciprocated Vertex Pair Ratio : 0.0584781857948659
Reciprocated Edge Ratio : 0.110494834148994
Connected Components : 1665
Single-Vertex Connected Components : 702
Maximum Vertices in a Connected Component : 2329
Maximum Edges in a Connected Component : 9833
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.13128
Graph Density : 0.000168209911041379
Modularity : 0.49974
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,394 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, 03 October 2021 at 03:37 UTC.
The requested start date was Sunday, 03 October 2021 at 00:01 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 4-day, 16-hour, 26-minute period from Monday, 27 September 2021 at 12:10 UTC to Saturday, 02 October 2021 at 04:36 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:
[501] nursing,midwifery [282] nurse,midwife [236] call,midwife [120] rterdogan,drfahrettinkoca [120] drfahrettinkoca,#kabinesagligaatama [112] drfahrettinkoca,lutfielvan [109] drfahrettinkoca,#maliyeyetersagligaonayver [100] drfahrettinkoca,rterdogan [97] midwife,told [96] lutfielvan,#maliyeyetersagligaonayver Top Word Pairs in Tweet in G1:
[83] call,midwife [48] nursing,midwifery [43] nurse,midwife [23] #bidan,#kebidanan [23] #kebidanan,#midwife [23] #bidan,#midwife [15] covid,19 [13] registered,midwife [12] 株式会社with,midwife [12] midwife,経済産業省フェムテック実証事業として Top Word Pairs in Tweet in G2:
[54] maternity,services [52] quality,improvement [51] midwife,passion [51] passion,quality [51] improvement,experience [51] experience,implementing [51] implementing,change [51] change,maternity [50] marielewis1975,midwife [50] services,teamcm Top Word Pairs in Tweet in G3:
[120] drfahrettinkoca,#kabinesagligaatama [120] rterdogan,drfahrettinkoca [112] drfahrettinkoca,lutfielvan [109] drfahrettinkoca,#maliyeyetersagligaonayver [100] drfahrettinkoca,rterdogan [96] lutfielvan,#maliyeyetersagligaonayver [87] 10,aydır [75] atama,bekliyor [65] rterdogan,lutfielvan [64] lutfielvan,drfahrettinkoca Top Word Pairs in Tweet in G4:
[96] nursing,midwifery [23] midwifery,innovator [23] innovator,nhs [23] nhs,idea [23] idea,keen [23] keen,develop [23] develop,scale [23] scale,improve [21] teamcno_,nursing [21] improve,patie Top Word Pairs in Tweet in G5:
[70] nursing,midwifery [19] ciara,coveney [16] iadnam1,conference [14] contribution,nursing [14] school,nursing [13] coveney,advanced [13] application,digital [10] liam,doran [10] digital,care [10] minister,health Top Word Pairs in Tweet in G6:
[30] unsafe,abortion [26] abortion,one [26] one,main [26] main,causes [26] causes,maternal [26] maternal,death [26] death,globally [26] globally,one [26] one,entirely [25] listening,bbcr4today Top Word Pairs in Tweet in G7:
[20] ai,health [15] #primaryhealthcare,#generalpractice [14] genomicsedu,#midwives [13] #preventive,#healthcare [11] #exposome,ai [11] health,#bioinformatics [10] #obstetrics,#midwifery [10] #midwives,curious [10] curious,genomics [10] genomics,sure Top Word Pairs in Tweet in G8:
[15] caught,covid_19 [14] covid_19,three [14] three,times [13] booked,onto [13] rvh,caught [12] midwife,booked [12] ward,rvh [11] irlpatricia,lightyear_87 [11] lightyear_87,midwife [11] onto,general Top Word Pairs in Tweet in G9:
[18] clinical,placement [13] student,midwife [12] women,health [12] health,research [11] first,student [8] momentous,week [8] week,involved [8] involved,women [8] research,team [8] team,lancshospitals Top Word Pairs in Tweet in G10:
[33] first,look [33] christmas,2021 [33] 2021,special [31] look,#callthemidwife [31] #callthemidwife,christmas [29] special,radiotimes [26] callthemidwife1,first [22] north,american [22] american,fans [22] season,#callthemidwife Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G10: