The graph represents a network of 8,616 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, 13 September 2020 at 02:21 UTC.
The requested start date was Sunday, 13 September 2020 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 5-day, 3-hour, 17-minute period from Sunday, 06 September 2020 at 06:14 UTC to Friday, 11 September 2020 at 09:31 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 : 8616
Unique Edges : 6468
Edges With Duplicates : 9677
Total Edges : 16145
Number of Edge Types : 5
Tweet : 1841
Retweet : 4058
MentionsInRetweet : 5738
Replies to : 1448
Mentions : 3060
Self-Loops : 1876
Reciprocated Vertex Pair Ratio : 0.0417903882107115
Reciprocated Edge Ratio : 0.080228016467856
Connected Components : 2054
Single-Vertex Connected Components : 885
Maximum Vertices in a Connected Component : 2722
Maximum Edges in a Connected Component : 7404
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.941037
Graph Density : 0.000127622299427
Modularity : 0.584096
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 8,616 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, 13 September 2020 at 02:21 UTC.
The requested start date was Sunday, 13 September 2020 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 5-day, 3-hour, 17-minute period from Sunday, 06 September 2020 at 06:14 UTC to Friday, 11 September 2020 at 09:31 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:
[510] nursing,midwifery [453] call,midwife [424] lib,dems [423] end,deal [423] deal,hardest [423] hardest,brexits [423] brexits,lib [423] dems,rancid [423] rancid,opportunism [423] opportunism,midwife Top Word Pairs in Tweet in G1:
[187] call,midwife [48] nursing,midwifery [43] nurse,midwife [21] episode,#trakt [18] watching,call [14] student,midwife [14] midwife,appointment [13] year,nurse [12] being,midwife [11] covid,19 Top Word Pairs in Tweet in G2:
[28] chief,midwife [25] birth,trauma [24] midwifery,students [23] 30,years [22] mon,much [22] much,more [22] more,evidence [22] evidence,need [22] need,value [22] value,midwife Top Word Pairs in Tweet in G3:
[423] lib,dems [422] end,deal [422] deal,hardest [422] hardest,brexits [422] brexits,lib [422] dems,rancid [422] rancid,opportunism [422] opportunism,midwife [421] mattzarb,end [7] jo,swinson Top Word Pairs in Tweet in G4:
[254] susan,rice [254] rice,joined [254] joined,board [254] board,netflix [254] netflix,thought [254] thought,hung [254] hung,love [254] love,'call [254] 'call,midwife' [254] midwife','ozark' Top Word Pairs in Tweet in G5:
[68] nursing,midwifery [59] international,year [59] year,nurse [59] nurse,midwife [58] 1st,october [57] save,date [34] celebrate,international [34] midwife,ireland [34] ireland,2020 [33] thursday,1st Top Word Pairs in Tweet in G6:
[12] nursing,midwifery [8] b1ld3rb3rg,jeremy_hunt [7] midwife,health [6] health,visitor [6] marsupial,midwife [6] midwife,deliveroo [5] midwifery,council [5] maternity,services [5] imcmillan,marsupial [5] sibbo_46,b1ld3rb3rg Top Word Pairs in Tweet in G7:
[137] incredible,midwife [137] midwife,running [137] running,128 [137] 128,kilometres [137] kilometres,raise [137] raise,money [137] money,peepshie [137] peepshie,provide [137] provide,support [137] support,parents Top Word Pairs in Tweet in G8:
[45] nursing,midwifery [29] exciting,opportunity [26] opportunity,join [26] join,hee [26] hee,north [26] north,west [26] west,deputy [26] deputy,head [26] head,nursing [26] midwifery,see Top Word Pairs in Tweet in G9:
[50] nursing,diploma [31] specialty,nursing [29] midwifery,whole [28] whole,broad [28] broad,specialty [28] diploma,compulsory [28] compulsory,take [28] take,midwifery [28] proudnursemj,midwifery [22] public,health Top Word Pairs in Tweet in G10:
[61] #theeternalknotseries,raven [61] raven,midwife [61] midwife,#timetravels [61] #timetravels,1823 [61] 1823,england [61] england,book [61] book,darcy [58] author_sherrieb,#theeternalknotseries [58] darcy,ri [53] bornformidwife,#truelife Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
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:
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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 G10: