The graph represents a network of 5,391 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, 23 December 2019 at 01:52 UTC.
The requested start date was Monday, 23 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 1-day, 6-hour, 5-minute period from Saturday, 21 December 2019 at 13:25 UTC to Sunday, 22 December 2019 at 19:30 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 : 5391
Unique Edges : 5706
Edges With Duplicates : 448
Total Edges : 6154
Number of Edge Types : 4
MentionsInRetweet : 4677
Replies to : 354
Tweet : 475
Mentions : 648
Self-Loops : 475
Reciprocated Vertex Pair Ratio : 0.0168518518518519
Reciprocated Edge Ratio : 0.0331451466035331
Connected Components : 512
Single-Vertex Connected Components : 229
Maximum Vertices in a Connected Component : 3203
Maximum Edges in a Connected Component : 3239
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 2.257038
Graph Density : 0.000188970210434556
Modularity : 0.643091
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 5,391 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, 23 December 2019 at 01:52 UTC.
The requested start date was Monday, 23 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 1-day, 6-hour, 5-minute period from Saturday, 21 December 2019 at 13:25 UTC to Sunday, 22 December 2019 at 19:30 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:
[3106] midwife,center [3106] care,team [3103] main,method [3103] method,pain [3103] pain,reliever [3103] reliever,midwife [3103] center,better [3103] better,beds [3103] beds,less [3103] less,machines Top Word Pairs in Tweet in G1:
[3100] main,method [3100] method,pain [3100] pain,reliever [3100] reliever,midwife [3100] midwife,center [3100] center,better [3100] better,beds [3100] beds,less [3100] less,machines [3100] machines,plan Top Word Pairs in Tweet in G2:
[56] call,midwife [12] midwife,christmas [10] christmas,special [9] nurse,midwife [7] watching,call [6] midwife,holiday [6] holiday,special [6] helen,george [6] #maternity,#maternitynurse [5] tv,features Top Word Pairs in Tweet in G3:
[225] india,turns [225] turns,brutal [225] brutal,fascist [225] fascist,dictatorship [225] dictatorship,india [225] india,institutions [225] institutions,supposed [225] supposed,protect [224] tjoseph0010,india [224] protect,co Top Word Pairs in Tweet in G4:
[38] nursing,midwifery [26] midwifery,students [23] #teamcno,heard [23] heard,news [23] news,nursing [23] students,receive [23] receive,minimum [23] minimum,5000 [23] 5000,additional [23] additional,funding Top Word Pairs in Tweet in G5:
[120] call,midwife [114] christmas,special [101] midwife,christmas [94] special,behind [94] behind,scenes [94] scenes,exclusive [94] exclusive,turners [94] turners,discuss [94] discuss,beauty [94] beauty,hebridean Top Word Pairs in Tweet in G6:
[8] سنابنا,efhmbrjk [7] محم,د [6] ksau_hs,_uoh [6] _uoh,_ksu [6] _ksu,kauweb [6] kauweb,_pnu_ksa [6] _pnu_ksa,uqu_edu [6] uqu_edu,kkueduksa [6] kkueduksa,jazanuniversity [6] وعلى,آل Top Word Pairs in Tweet in G7:
[85] midwife,one [85] one,nearly [85] nearly,million [85] million,rohingya [85] rohingya,muslims [85] muslims,live [85] live,world's [85] world's,largest [85] largest,refugee [85] refugee,camp Top Word Pairs in Tweet in G8:
[76] bbcpolitics,witnessing [75] witnessing,birth [75] birth,fucking [75] fucking,midwife [74] blunted_james,bbcpolitics [4] bbcpolitics,bbc [2] bbc,midwife [2] midwife,yeah [2] yeah,makes [2] makes,sense Top Word Pairs in Tweet in G9:
[6] very,busy [6] busy,week [6] week,squeeze [6] squeeze,well [6] well,deserved [6] deserved,celebration [6] celebration,breakfast [6] breakfast,midwife [6] midwife,year [5] wee,#elf Top Word Pairs in Tweet in G10:
[34] saw,midwife [34] midwife,talking [33] talking,performing [33] performing,vbacs [33] vbacs,vaginal [33] vaginal,birth [33] birth,section [33] urbanedoc4kids,saw [32] section,birthing [32] birthing,center Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
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:
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: