Preeclampsia, Twitter, 11/8/2019 8:24:36 PM, 215794


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Preeclampsia_2019-11-08_12-14-12.xlsx
Preeclampsia_2019-11-08_12-14-12.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
November 08, 2019
Short Description:
Preeclampsia via NodeXL http://bit.ly/2CpwbCz
@rewire_news
@usatoday
@preeclampsia
@acog
@cdbrcomhealth
@jackie_parchem
@goodwomenhealth
@madams8n
@jkelly3rd
@ajdesuti

Top hashtags:
#preeclampsia
#pregnancy
#aspirin
#oaa3dc2019
#maternalhealth
#somosfamilia
#obanes

Description:
Description
The graph represents a network of 1,790 Twitter users whose tweets in the requested range contained "Preeclampsia", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 08 November 2019 at 20:14 UTC.

The requested start date was Wednesday, 06 November 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 13-day, 23-hour, 40-minute period from Wednesday, 23 October 2019 at 01:13 UTC to Wednesday, 06 November 2019 at 00:54 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


Overall Graph Metrics
Vertices : 1790
Unique Edges : 1791
Edges With Duplicates : 333
Total Edges : 2124
Number of Edge Types : 3
Tweet : 428
Mentions : 1442
Replies to : 254
Self-Loops : 428
Reciprocated Vertex Pair Ratio : 0.0291450777202073
Reciprocated Edge Ratio : 0.0566393958464443
Connected Components : 467
Single-Vertex Connected Components : 230
Maximum Vertices in a Connected Component : 227
Maximum Edges in a Connected Component : 332
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.218549
Graph Density : 0.000496204302519119
Modularity : 0.779888
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,790 Twitter users whose tweets in the requested range contained "Preeclampsia", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 08 November 2019 at 20:14 UTC.

The requested start date was Wednesday, 06 November 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 13-day, 23-hour, 40-minute period from Wednesday, 23 October 2019 at 01:13 UTC to Wednesday, 06 November 2019 at 00:54 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 : Preeclampsia
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 : Followers

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[49] https://www.usatoday.com/story/news/investigations/2019/10/28/maternal-mortality-rate-fix-preeclampsia-postpartum-hemorrhage/4084169002/
[20] https://www.independent.co.uk/life-style/love-sex/husband-book-wife-memory-loss-childbirth-baby-preeclampsia-coma-a9174176.html?utm_medium=Social&utm_source=Twitter#Echobox=1572275621
[12] https://www.independent.co.uk/life-style/love-sex/husband-book-wife-memory-loss-childbirth-baby-preeclampsia-coma-a9174176.html
[7] https://latinamericanpost.com/es/30617-descubre-como-una-simple-prueba-descubre-un-trastorno-de-embarazo-peligroso
[6] https://twitter.com/3peasinmypod/status/1187054201622290434
[5] https://www.purdue.edu/newsroom/releases/2019/Q4/pregnant-women-may-soon-be-able-to-detect-their-own-risk-of-preeclampsia-with-a-smartphone.html
[5] https://twitter.com/preeclampsia/status/1189653470619545601
[5] https://latinamericanpost.com/30614-simple-test-predicts-dangerous-pregnancy-disorder
[4] https://www.usatoday.com/in-depth/news/investigations/deadly-deliveries/2018/07/26/maternal-mortality-rates-preeclampsia-postpartum-hemorrhage-safety/546889002?utm_source=feedblitz&utm_medium=FeedBlitzRss&utm_campaign=usatodaycomnation-topstories
[4] https://www.elsevier.es/es-revista-neurologia-295-articulo-neuropatia-aislada-del-sexto-nervio-S0213485317302451

Top URLs in Tweet in G1:
[8] https://www.usatoday.com/story/news/investigations/2019/10/28/maternal-mortality-rate-fix-preeclampsia-postpartum-hemorrhage/4084169002/
[7] https://latinamericanpost.com/es/30617-descubre-como-una-simple-prueba-descubre-un-trastorno-de-embarazo-peligroso
[5] https://latinamericanpost.com/30614-simple-test-predicts-dangerous-pregnancy-disorder
[4] https://twitter.com/3peasinmypod/status/1187054201622290434
[4] https://www.usatoday.com/in-depth/news/investigations/deadly-deliveries/2018/07/26/maternal-mortality-rates-preeclampsia-postpartum-hemorrhage-safety/546889002?utm_source=feedblitz&utm_medium=FeedBlitzRss&utm_campaign=usatodaycomnation-topstories
[3] https://chicago.suntimes.com/2019/10/28/20936738/hospital-safety-maternal-mortality-rate-postpartum-hemorrhage-preeclampsia
[2] https://www.sciencedaily.com/releases/2019/10/191023093431.htm
[2] http://dlvr.it/RGltMl
[2] https://twitter.com/preeclampsia/status/1188911033622155265
[2] https://www.youtube.com/watch?v=vIyapE2lFw0&feature=youtu.be


Top URLs in Tweet in G2:
[3] https://rewire.news/article/2019/07/15/theres-nothing-pro-life-about-denying-migrants-rights-and-dignity/

Top URLs in Tweet in G3:
[5] https://twitter.com/preeclampsia/status/1189653470619545601
[2] https://www.usatoday.com/story/news/investigations/2019/10/28/maternal-mortality-rate-fix-preeclampsia-postpartum-hemorrhage/4084169002/
[2] https://www.obgproject.com/2019/10/22/the-fmf-model-maternal-characteristics-ultrasound-and-plgf-to-predict-preterm-preeclampsia/
[2] https://www.obgproject.com/2019/10/17/follow-up-on-the-parrot-trial-is-placental-growth-factor-testing-for-preeclampsia-cost-effective/
[1] https://twitter.com/columbiawomens/status/1190693528688566272
[1] https://twitter.com/timeisbrain/status/1189621602549293056
[1] https://app.maventus.com//m1015662
[1] https://www.preeclampsia.org/aspirin
[1] http://www.preeclampsia.org/store
[1] https://www.preeclampsia.org/research/participate-in-a-study

Top URLs in Tweet in G4:
[38] https://www.usatoday.com/story/news/investigations/2019/10/28/maternal-mortality-rate-fix-preeclampsia-postpartum-hemorrhage/4084169002/
[2] https://www.usatoday.com/deadly-deliveries/interactive/how-hospitals-are-failing-new-moms-in-graphics/
[2] https://www.usatoday.com/in-depth/news/investigations/deadly-deliveries/2018/07/26/maternal-mortality-rates-preeclampsia-postpartum-hemorrhage-safety/546889002/
[1] https://okt.to/N2hlCr
[1] https://twitter.com/aht_org/status/1189466717963149312
[1] https://twitter.com/jkelly3rd/status/1189156979748593664

Top URLs in Tweet in G9:
[2] https://www.romper.com/p/how-to-reduce-your-risk-of-preeclampsia-according-to-experts-19257499
[1] https://twitter.com/tinahaase3/status/1189149995829809152
[1] http://www.nature.com/articles/s41366-019-0472-3
[1] https://www.huffpost.com/entry/respect-the-big-p-a-closer-look-at-preeclampsia_b_9508022
[1] https://discover.dc.nihr.ac.uk/content/signal-000532/single-urine-samples-are-just-as-good-as-24-hour-collections-for-diagnosing-pre-eclampsia?utm_content=buffer7d502&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[1] https://www.goldobgyn.com/conference/registration
[1] https://www.goldobgyn.com/conference/presentations/492
[1] https://www.goldobgyn.com/conference/presentations/494
[1] https://www.romper.com/p/how-to-reduce-your-risk-of-preeclampsia-according-to-experts-19257499?platform=hootsuite

Top URLs in Tweet in G10:
[20] https://www.independent.co.uk/life-style/love-sex/husband-book-wife-memory-loss-childbirth-baby-preeclampsia-coma-a9174176.html?utm_medium=Social&utm_source=Twitter#Echobox=1572275621
[10] https://www.independent.co.uk/life-style/love-sex/husband-book-wife-memory-loss-childbirth-baby-preeclampsia-coma-a9174176.html

Top Domains
Top Domains in Tweet in Entire Graph:
[63] twitter.com
[60] usatoday.com
[39] co.uk
[18] nih.gov
[12] latinamericanpost.com
[11] dlvr.it
[11] purdue.edu
[5] preeclampsia.org
[5] yahoo.com
[5] suntimes.com

Top Domains in Tweet in G1:
[24] twitter.com
[13] usatoday.com
[12] latinamericanpost.com
[11] dlvr.it
[7] nih.gov
[5] suntimes.com
[3] sciencedaily.com
[3] springer.com
[3] instagram.com
[3] purdue.edu

Top Domains in Tweet in G2:
[3] rewire.news

Top Domains in Tweet in G3:
[11] twitter.com
[5] obgproject.com
[3] preeclampsia.org
[2] usatoday.com
[1] maventus.com
[1] donorperfect.com
[1] nih.gov

Top Domains in Tweet in G4:
[42] usatoday.com
[2] twitter.com
[1] okt.to

Top Domains in Tweet in G9:
[3] romper.com
[3] goldobgyn.com
[1] twitter.com
[1] nature.com
[1] huffpost.com
[1] ac.uk

Top Domains in Tweet in G10:
[30] co.uk

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[170] preeclampsia
[21] pregnancy
[16] aspirin
[15] oaa3dc2019
[10] maternalhealth
[9] somosfamilia
[9] obanes
[8] biochemevent
[8] maternalmortality
[8] obgyn



Top Hashtags in Tweet in G1:
[29] preeclampsia
[7] vida
[6] pregnancy
[5] living
[4] hmhbga19
[3] pregnant
[2] women
[2] stress
[2] maternalmortality
[2] momlife

Top Hashtags in Tweet in G3:
[42] preeclampsia
[15] aspirin
[6] icymi
[6] pollutants
[6] nichd
[5] maternalhealthcare
[4] motherscenterneurovascularclinic
[4] motherscenter
[4] clinicaltrial
[4] amag423

Top Hashtags in Tweet in G4:
[4] maternalhealth
[3] jointcommission
[3] prevention
[3] safety
[2] pregnancy
[2] healthcare
[2] hospitals
[1] wednesdaywellness
[1] hospital
[1] maternal

Top Hashtags in Tweet in G9:
[24] preeclampsia
[15] oaa3dc2019
[9] obanes
[5] cardiovascular
[4] pregnancy
[3] rompermagazine
[3] goldobgyn2019
[3] obgyn
[3] obstetrics
[2] organonachip

Top Words
Top Words in Tweet in Entire Graph:
[653] Words in Sentiment List#1: Positive
[1467] Words in Sentiment List#2: Negative
[7] Words in Sentiment List#3: Angry/Violent
[34278] Non-categorized Words
[36398] Total Words
[1107] preeclampsia
[255] birth
[254] one
[245] life
[229] another

Top Words in Tweet in G1:
[238] preeclampsia
[49] pregnancy
[40] women
[29] #preeclampsia
[28] pregnant
[24] s
[23] 000
[23] know
[22] risk
[21] babies

Top Words in Tweet in G2:
[215] denied
[215] life
[213] preeclampsia
[213] birth
[212] one
[212] migrant
[212] mother
[212] medication
[212] threatening
[212] gave

Top Words in Tweet in G3:
[46] preeclampsia
[42] #preeclampsia
[23] know
[17] acog
[15] #aspirin
[15] prevent
[14] aspirin
[13] low
[13] dose
[13] delay

Top Words in Tweet in G4:
[50] usatoday
[43] safety
[42] maternal
[39] mortality
[35] hemorrhage
[32] hospital
[32] postpartum
[32] hospitals
[31] fix
[31] targets

Top Words in Tweet in G5:
[65] preeclampsia
[63] chingaderas
[62] orlandorpn

Top Words in Tweet in G6:
[47] julietasagnay
[47] luego
[47] 9
[47] abortos
[47] espontáneos
[47] hija
[47] nacio
[47] 32
[47] semanas
[47] embarazada

Top Words in Tweet in G8:
[25] time
[23] preeclampsia
[22] first
[21] through
[20] being
[20] pregnant
[20] homestretch
[20] wild
[20] contraction
[20] cramp

Top Words in Tweet in G9:
[24] #preeclampsia
[17] preeclampsia
[15] #oaa3dc2019
[13] cause
[13] maternal
[13] death
[12] second
[12] common
[12] accounts
[12] around

Top Words in Tweet in G10:
[34] lost
[34] memory
[34] during
[34] childbirth
[34] husband
[34] book
[31] independent
[29] writes
[29] wife
[5] woman

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[225] gave,birth
[219] life,threatening
[218] preeclampsia,gave
[217] one,migrant
[217] migrant,mother
[217] mother,denied
[217] denied,medication
[217] medication,life
[217] threatening,preeclampsia
[217] birth,prematurely

Top Word Pairs in Tweet in G1:
[21] 76,000
[17] blood,pressure
[15] pregnant,women
[15] way,predict
[14] researchers,developed
[14] kills,76
[13] each,year
[12] predict,onset
[12] onset,deadly
[12] deadly,pregnancy

Top Word Pairs in Tweet in G2:
[212] one,migrant
[212] migrant,mother
[212] mother,denied
[212] denied,medication
[212] medication,life
[212] life,threatening
[212] threatening,preeclampsia
[212] preeclampsia,gave
[212] gave,birth
[212] birth,prematurely

Top Word Pairs in Tweet in G3:
[13] low,dose
[13] prevent,delay
[13] delay,onset
[9] patients,know
[9] know,#aspirin
[9] #aspirin,low
[9] dose,aspirin
[9] aspirin,recommended
[9] recommended,acog
[9] acog,prevent

Top Word Pairs in Tweet in G4:
[37] maternal,mortality
[32] postpartum,hemorrhage
[31] fix,targets
[28] hospital,safety
[28] safety,fix
[28] rate,postpartum
[28] hemorrhage,preeclampsia
[27] targets,maternal
[27] mortality,rate
[22] preeclampsia,usatoday

Top Word Pairs in Tweet in G5:
[63] preeclampsia,chingaderas
[62] orlandorpn,preeclampsia

Top Word Pairs in Tweet in G6:
[47] luego,9
[47] 9,abortos
[47] abortos,espontáneos
[47] espontáneos,hija
[47] hija,nacio
[47] nacio,32
[47] 32,semanas
[47] semanas,embarazada
[47] embarazada,añosa
[47] añosa,oligohidramnios

Top Word Pairs in Tweet in G8:
[21] first,time
[20] being,pregnant
[20] pregnant,first
[20] time,homestretch
[20] homestretch,wild
[20] wild,contraction
[20] contraction,cramp
[20] cramp,heel
[20] heel,popping
[20] popping,through

Top Word Pairs in Tweet in G9:
[13] cause,maternal
[13] maternal,death
[12] #preeclampsia,second
[12] second,common
[12] common,cause
[12] death,accounts
[12] accounts,around
[12] around,20
[12] 20,stillbirths
[12] stillbirths,up

Top Word Pairs in Tweet in G10:
[34] lost,memory
[34] memory,during
[34] during,childbirth
[29] husband,writes
[29] writes,book
[29] book,wife
[29] wife,lost
[27] independent,husband
[5] woman,lost
[5] childbirth,husband

Top Replied-To
Top Replied-To in Entire Graph:
@veebrigham1
@3peasinmypod
@bone_crudmeal
@tish_h_warren
@martinwife2017
@chloeyocky
@shelbytriglia
@xicanitabonita
@alyciatyre
@thesciencevort1

Top Replied-To in G2:
@kate_manne

Top Replied-To in G3:
@karenerrichetti
@shadesofblueprj
@eleni_z_tsigas
@preeclampsia
@hgmoms
@millwallfceo
@mustylusi
@michaelmazizmd1
@mfmsperling
@sambernsteinrn

Top Replied-To in G4:
@tjcommission
@usatoday
@alisonannyoung

Top Replied-To in G6:
@eihuevoneraid

Top Replied-To in G7:
@cathyby

Top Replied-To in G8:
@3peasinmypod
@kelsey453
@jennybeawr_
@lindsay_dawn_99
@amberlbowers

Top Mentioned
Top Mentioned in Entire Graph:
@rewire_news
@orlandorpn
@julietasagnay
@usatoday
@independent
@jkelly3rd
@preeclampsia
@belletownusa
@supermajority
@amy_pyle

Top Mentioned in G1:
@skinnergj
@womens_womens
@parijatdesh
@eurekamag
@clinicalapprova
@clinicalphase
@mipserable
@diagnosticsbio
@dilei_it

Top Mentioned in G2:
@rewire_news

Top Mentioned in G3:
@preeclampsia
@nichd_nih
@acog
@drcynthiagyamfi
@hgmoms
@shadesofblueprj
@columbiawomens
@2020momproject
@preventaccreta
@everymomcounts

Top Mentioned in G4:
@usatoday
@jkelly3rd
@amy_pyle
@alisonannyoung
@tjcommission
@letitiastein
@sciguy999
@cdbrcomhealth
@kategcom
@usat

Top Mentioned in G5:
@orlandorpn

Top Mentioned in G6:
@julietasagnay
@coldasicev
@docluis_litardo
@ecsaludmental
@elianacabrera9
@eijibites
@zack_1800
@frxths
@saymeaolikeacat
@fjsv1974

Top Mentioned in G7:
@marineresteve
@alabamavikings
@european_kate
@geoffkeey
@thegrimbarian
@rosebudorson
@carolinehutt
@geor97
@charlie_45uk
@nielsockelmann

Top Mentioned in G8:
@belletownusa
@3peasinmypod
@kelsey453
@alyhass_

Top Mentioned in G9:
@nihrevidence
@obsleepmerchant
@obsevidence
@keciagaithermd
@profasifahmed
@manselltoby
@stephenlap
@tinahaase3
@saroshranaob
@cynthiahajal

Top Mentioned in G10:
@independent

Top Tweeters
Top Tweeters in Entire Graph:
@the_news_diva
@s9tmt
@skinnergj
@independent
@cahulaan
@onahunttoday
@eurekamag
@pas5974
@magicdmw
@yayayarndiva

Top Tweeters in G1:
@skinnergj
@eurekamag
@analyticaglobal
@pm_girl
@lillith6
@cd_docx
@boredgirl260
@plutoniannight
@suntimes
@cro_bio

Top Tweeters in G2:
@magicdmw
@yayayarndiva
@lorisums
@jjj5819
@amadii
@kcolaizzo
@christineiam
@letat_lechat
@jambie61
@wtf_imtooold

Top Tweeters in G3:
@drjengunter
@monitor_ph
@mjv33monica
@goodwomenhealth
@catchthebaby
@mustylusi
@sonodoc99
@publichealthmap
@marchofdimes
@millwallfceo

Top Tweeters in G4:
@the_news_diva
@pas5974
@rhonda_harbison
@cheryl_marlin
@usatoday
@momsrising
@billesteem
@tommullen8
@tv_hiec_chair
@tonidragon6540

Top Tweeters in G5:
@mdponny
@lenats23
@frankiegmtz
@breiitz
@ciinthiiagalleg
@monchis_s
@obstequeenma
@isoyhumana
@gabriela_c_m
@sakuudl

Top Tweeters in G6:
@nutriciontotal
@seejaycuervo
@sarahi1956
@analuval
@piipoo7
@mserranoduenas
@duranfuerza
@nico_m_teglio
@97f016a1c1bf4e9
@ani_ec2

Top Tweeters in G7:
@elcontador2000
@cathyby
@geor97
@davidmetroland
@rfreeuk_listen
@the_leaver
@european_kate
@duggan_paul
@macid3000
@brianbloop

Top Tweeters in G8:
@taliaartrice
@dezrenay19991
@kelsey453
@jdlongoria1
@myonlysecret
@sativaspits
@kgracetippett
@belletownusa
@wrongreality__
@mrs_bhardy

Top Tweeters in G9:
@prof_gr8
@jessica61620980
@nychealthsystem
@keciagaithermd
@nationalmedassn
@sarahpowlibrary
@tamedprince
@nihrevidence
@nlaglibs
@carynjrogers

Top Tweeters in G10:
@s9tmt
@independent
@renataadler6
@mshugart22
@heatherdawnper1
@goune37
@insanlartuhaf
@sorokinolha
@danijelar
@ndasantana