The graph represents a network of 5,327 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, 02 December 2019 at 01:43 UTC.
The requested start date was Monday, 02 December 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 2-day, 16-hour, 45-minute period from Thursday, 28 November 2019 at 20:23 UTC to Sunday, 01 December 2019 at 13:09 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 : 5327
Unique Edges : 7247
Edges With Duplicates : 2001
Total Edges : 9248
Number of Edge Types : 3
Mentions : 7560
Replies to : 637
Tweet : 1051
Self-Loops : 1051
Reciprocated Vertex Pair Ratio : 0.0409620991253644
Reciprocated Edge Ratio : 0.0787004621201512
Connected Components : 1023
Single-Vertex Connected Components : 481
Maximum Vertices in a Connected Component : 2676
Maximum Edges in a Connected Component : 6277
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.954291
Graph Density : 0.000251695339586393
Modularity : 0.712021
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,327 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, 02 December 2019 at 01:43 UTC.
The requested start date was Monday, 02 December 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 2-day, 16-hour, 45-minute period from Thursday, 28 November 2019 at 20:23 UTC to Sunday, 01 December 2019 at 13:09 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:
[749] cut,bursary [747] government,cut [744] bursary,midwife [743] bbcquestiontime,government [692] buy,basic [691] midwife,parts [691] parts,nhs [691] nhs,scraping' [691] scraping',buy [690] basic,equip Top Word Pairs in Tweet in G1:
[712] government,cut [712] cut,bursary [712] bursary,midwife [711] bbcquestiontime,government [660] buy,basic [659] midwife,parts [659] parts,nhs [659] nhs,scraping' [659] scraping',buy [658] basic,equip Top Word Pairs in Tweet in G2:
[65] call,midwife [33] nursing,midwifery [26] nurse,midwife [20] gp,pharmacist [19] free,flu [15] midwife,gp [14] flu,jab [13] midwife,delivered [12] rip,amma [12] oldest,midwife Top Word Pairs in Tweet in G3:
[67] nursing,midwifery [45] midwife,year [41] congratulations,clare [40] clare,kennedy [39] midwifery,students [36] midwifery,student [33] inmo,midwife [30] student,midwife [28] very,proud [27] nurse,year Top Word Pairs in Tweet in G4:
[273] paul3lack,ladyhaja [271] student,midwife [270] ladyhaja,student [270] midwife,currently [270] currently,paying [270] paying,20 [270] 20,000 [270] 000,year [270] year,work [270] work,37 Top Word Pairs in Tweet in G5:
[209] christmas,special [207] special,video [207] video,exclusive [207] exclusive,feature [207] feature,#callthemidwife [207] #callthemidwife,cast [207] cast,production [207] production,team [207] team,relive [207] relive,experience Top Word Pairs in Tweet in G6:
[29] midwife,year [25] well,done [23] question,time [20] done,midwife [20] midwife,raising [20] raising,scrapping [20] scrapping,bursary [20] bursary,bbc [20] bbc,question [20] time,last Top Word Pairs in Tweet in G7:
[16] helenknower,bestmidwifeever [16] bestmidwifeever,gsep_ [16] gsep_,lynn_bayes [15] jackiemoulla,helenknower [14] lynn_bayes,midwife_vc [13] midwife_vc,pma_lgt [9] pma_lgt,lg_nhs [9] 07stalberg,jackiemoulla [8] annageyer_np,07stalberg [6] whoseshoes,jackiemoulla Top Word Pairs in Tweet in G8:
[33] nursing,midwifery [23] time',#cnosummit [23] #cnosummit,2020 [23] 2020,taking [23] taking,place [23] place,11 [23] 11,12 [23] 12,march [23] march,birmingham [23] birmingham,much Top Word Pairs in Tweet in G9:
[30] nurse,midwife [22] year,nurse [18] 2020,year [11] board,members [10] nursing,midwifery [9] icn,board [8] nurses,midwives [7] designated,2020 [7] job,opportunity [7] opportunity,shape Top Word Pairs in Tweet in G10:
[93] don,girls [93] girls,pursue [93] pursue,university [93] university,education [93] education,female [93] female,gynecologist [93] gynecologist,take [93] take,care [93] care,wives [92] asmali77,don Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: