The graph represents a network of 7,376 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, 05 September 2021 at 03:37 UTC.
The requested start date was Sunday, 05 September 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 3-day, 9-hour, 26-minute period from Tuesday, 31 August 2021 at 19:09 UTC to Saturday, 04 September 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 : 7376
Unique Edges : 5430
Edges With Duplicates : 13702
Total Edges : 19132
Number of Edge Types : 5
Replies to : 1897
Tweet : 1483
MentionsInRetweet : 5690
Mentions : 5885
Retweet : 4177
Self-Loops : 1542
Reciprocated Vertex Pair Ratio : 0.0422439245968658
Reciprocated Edge Ratio : 0.0810634125081717
Connected Components : 1492
Single-Vertex Connected Components : 639
Maximum Vertices in a Connected Component : 1559
Maximum Edges in a Connected Component : 4147
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.76975
Graph Density : 0.00016871943821464
Modularity : 0.478347
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 7,376 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, 05 September 2021 at 03:37 UTC.
The requested start date was Sunday, 05 September 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 3-day, 9-hour, 26-minute period from Tuesday, 31 August 2021 at 19:09 UTC to Saturday, 04 September 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:
[352] elimuyaafya,midwife_joe [352] midwife_joe,issm_info [351] jahimkawthar,elimuyaafya [350] festongadaya,allen_kaiza [347] afyafactz,festongadaya [346] issm_info,afyafactz [338] allen_kaiza,afyainforx [324] baby,born [323] born,naturally [323] naturally,quickly Top Word Pairs in Tweet in G1:
[62] call,midwife [25] #bidan,#midwife [25] #bidan,#kebidanan [25] #kebidanan,#midwife [24] nurse,midwife [21] role,midwife [20] nursing,midwifery [20] cat,arrives [20] arrives,time [20] time,play Top Word Pairs in Tweet in G2:
[45] student,midwife [30] midwifery,staffing [27] calling,#nurses [27] #nurses,interested [27] interested,undertaking [27] undertaking,further [27] further,study [27] study,become [27] become,#midwife [27] #midwife,offer Top Word Pairs in Tweet in G3:
[322] baby,born [322] born,naturally [322] naturally,quickly [322] quickly,home [322] home,water [322] water,surrounded [322] surrounded,love [322] love,delivered [322] delivered,daddy [322] daddy,assisted Top Word Pairs in Tweet in G4:
[292] omg,thank [292] thank,god [292] god,fine [292] fine,great [292] great,midwife [291] thefigen,omg Top Word Pairs in Tweet in G5:
[188] drfahrettinkoca,#fkocaatamaiçintweetatın [83] atama,bekleyen [40] drfahrettinkoca,rterdogan [36] bakanım,drfahrettinkoca [36] drfahrettinkoca,yildizztilbee [36] yildizztilbee,gokhanozoguz [35] sayın,bakanım [34] 10,aydır [34] bir,açıklama [31] gokhanozoguz,cmylmz Top Word Pairs in Tweet in G6:
[286] jp,morgan [130] midwife,dragged [130] dragged,away [130] away,jp [130] morgan,doing [130] doing,duty [130] duty,care [130] care,standing [130] standing,doctorsxr [130] doctorsxr,outside Top Word Pairs in Tweet in G7:
[51] nursing,midwifery [48] strategic,directions [48] directions,nursing [38] global,strategic [38] midwifery,2021 [38] 2021,2025 [37] equitylist,global [13] #midwives,need [13] need,equal [13] equal,pay Top Word Pairs in Tweet in G8:
[125] moment,finally [125] finally,applications [125] applications,fnf [125] fnf,2022 [125] 2022,scholarships [125] scholarships,officially [125] officially,open [125] open,unlock [125] unlock,potential [124] fnightingalef,moment Top Word Pairs in Tweet in G9:
[116] selkie,wife [115] portrait,lady [115] lady,fire [115] fire,selkie [112] kellypreeper,portrait [73] wife,nova [73] nova,scotia [73] scotia,1830 [69] midwife,jean [46] 1830,midwife Top Word Pairs in Tweet in G10:
[108] big,bend [108] bend,region [108] region,one [108] one,hospital [108] hospital,three [108] three,county [108] county,area [108] area,more [108] more,12 [108] 12,000 Top Replied-To in Entire Graph:
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 G8:
Top Replied-To in G9:
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: