The graph represents a network of 7,700 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, 12 September 2021 at 03:39 UTC.
The requested start date was Sunday, 12 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 4-day, 20-hour, 20-minute period from Friday, 03 September 2021 at 08:09 UTC to Wednesday, 08 September 2021 at 04:30 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 : 7700
Unique Edges : 6606
Edges With Duplicates : 9963
Total Edges : 16569
Number of Edge Types : 5
Retweet : 3486
MentionsInRetweet : 5196
Tweet : 2027
Replies to : 2079
Mentions : 3781
Self-Loops : 2085
Reciprocated Vertex Pair Ratio : 0.0548973607038123
Reciprocated Edge Ratio : 0.10408095185144
Connected Components : 1896
Single-Vertex Connected Components : 896
Maximum Vertices in a Connected Component : 1664
Maximum Edges in a Connected Component : 4342
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.218726
Graph Density : 0.000151697892962992
Modularity : 0.546074
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 7,700 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, 12 September 2021 at 03:39 UTC.
The requested start date was Sunday, 12 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 4-day, 20-hour, 20-minute period from Friday, 03 September 2021 at 08:09 UTC to Wednesday, 08 September 2021 at 04:30 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:
[1344] ãƒ,ム[791] ø,ø [729] ù,ø [680] ø,ù [679] ù,ù [367] jp,morgan [365] nursing,midwifery [274] ç,æ [263] šã,œã [259] æ,æ Top Word Pairs in Tweet in G1:
[90] call,midwife [82] ãƒ,ム[62] î,î [43] nursing,midwifery [40] professor,midwife [36] ø,ø [28] ø,ù [25] #bidan,#kebidanan [25] #kebidanan,#midwife [23] nurse,midwife Top Word Pairs in Tweet in G2:
[33] such,thing [32] dear,govuk [32] govuk,such [32] thing,midwifery [32] midwifery,nurse [32] nurse,#nurses [32] #nurses,#midwives [32] #midwives,please [32] please,add [31] tinasouth3,dear Top Word Pairs in Tweet in G3:
[366] jp,morgan [167] duty,care [166] midwife,dragged [166] dragged,away [166] away,jp [166] morgan,doing [166] doing,duty [166] care,standing [166] standing,doctorsxr [166] doctorsxr,outside Top Word Pairs in Tweet in G4:
[188] drfahrettinkoca,#fkocaatamaiçintweetatın [77] atama,bekleyen [38] drfahrettinkoca,rterdogan [36] drfahrettinkoca,yildizztilbee [36] yildizztilbee,gokhanozoguz [31] gokhanozoguz,cmylmz [31] cmylmz,tarkan [29] tarkan,#fkocaatamaiçintweetatın [28] 10,aydır [25] bakanım,drfahrettinkoca Top Word Pairs in Tweet in G5:
[22] moment,finally [22] finally,applications [22] applications,fnf [22] fnf,2022 [22] 2022,scholarships [22] scholarships,officially [22] officially,open [22] open,unlock [22] unlock,potential [21] fnightingalef,moment Top Word Pairs in Tweet in G6:
[261] ãƒ,ム[174] šã,œã [82] ç,æ [70] mariko_smile510,hayato_marke [70] hayato_marke,mori_freede [70] mori_freede,miona_midwife [70] miona_midwife,marketing_shun [65] chanhama_design,rikopinkata [63] rikopinkata,mariko_smile510 [58] marketing_shun,kibita_momo Top Word Pairs in Tweet in G7:
[169] #tigraywarrapevictims,found [169] found,more [169] more,difficult [169] difficult,disclose [169] disclose,having [169] having,subjected [169] subjected,being [169] being,vaginally [169] vaginally,anally [169] anally,gang Top Word Pairs in Tweet in G8:
[124] pregnant,midwife [124] midwife,#lcdp5 [123] netflxupdates,pregnant [14] quite,literally [14] literally,invented [14] invented,enemies [14] enemies,expectant [14] expectant,mother [14] mother,midwife [14] midwife,trope Top Word Pairs in Tweet in G9:
[14] midwifery,continuity [14] continuity,care [12] realist,review [12] review,explore [12] explore,midwifery [12] care,influence [12] influence,preterm [12] preterm,birth [12] birth,pregnant [12] pregnant,women Top Word Pairs in Tweet in G10:
[110] believe,midwife [110] midwife,told [110] told,rarely [110] rarely,miscarriages [110] miscarriages,practice [110] practice,five [109] westerninfidel,believe [109] five,bâ [3] relatively,low [3] low,amount Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: