kaiserfamfound, Twitter, 6/27/2019 1:21:42 AM, 201182


FAQ | Problem?

kaiserfamfound_2019-06-26_11-17-52.xlsx
kaiserfamfound_2019-06-26_11-17-52.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
June 27, 2019
Short Description:
kaiserfamfound via NodeXL http://bit.ly/2ZPKJFe
@kaiserfamfound
@0zyx
@diabetesgap
@mediastopbernie
@sonny_scroggins
@publixhelps
@apoemaday
@jogtweet
@aha_pgjohnson
@epflcswccm

Top hashtags:
#medicaid
#medicareforall
#titlex
#hiv
#medicare
#lgbtq
#healthcare
#partd

Description:
Description
The graph represents a network of 1,224 Twitter users whose tweets in the requested range contained "kaiserfamfound", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 26 June 2019 at 18:18 UTC.

The requested start date was Monday, 24 June 2019 at 00:01 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, 21-hour, 58-minute period from Monday, 10 June 2019 at 00:15 UTC to Sunday, 23 June 2019 at 22:13 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 : 1224
Unique Edges : 1673
Edges With Duplicates : 1616
Total Edges : 3289
Number of Edge Types : 3
Mentions : 2845
Tweet : 232
Replies to : 212
Self-Loops : 232
Reciprocated Vertex Pair Ratio : 0.0297494780793319
Reciprocated Edge Ratio : 0.0577800304105423
Connected Components : 43
Single-Vertex Connected Components : 30
Maximum Vertices in a Connected Component : 1154
Maximum Edges in a Connected Component : 3217
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.677074
Graph Density : 0.00131801153276792
Modularity : 0.428229
NodeXL Version : 1.0.1.413

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[26] https://www.kff.org/health-reform/poll-finding/kff-health-tracking-poll-june-2019/
[14] https://www.kff.org/health-costs/issue-brief/data-note-americans-challenges-health-care-costs/
[11] https://www.kff.org/medicaid/issue-brief/disability-and-technical-issues-were-key-barriers-to-meeting-arkansas-medicaid-work-and-reporting-requirements-in-2018/
[7] https://www.kff.org/medicaid/issue-brief/how-connecting-justice-involved-individuals-to-medicaid-can-help-address-the-opioid-epidemic/
[7] https://www.kff.org/report-section/kaiser-family-foundation-la-times-survey-of-adults-with-employer-sponsored-insurance-section-6-cost-conscious-health-care-shopping-behaviors/
[7] https://coloradohealth.org/reports/economy-housing-mental-health-and-substance-use-perspectives-lgbt-coloradans
[7] https://www.healthsystemtracker.org/brief/an-examination-of-surprise-medical-bills-and-proposals-to-protect-consumers-from-them
[6] https://twitter.com/KaiserFamFound/status/1141709799417143296
[6] https://www.kff.org/private-insurance/report/kaiser-family-foundation-la-times-survey-of-adults-with-employer-sponsored-insurance/
[6] https://t.co/7LykkztyUA

Top URLs in Tweet in G1:
[21] https://www.kff.org/health-reform/poll-finding/kff-health-tracking-poll-june-2019/
[10] https://www.kff.org/medicaid/issue-brief/disability-and-technical-issues-were-key-barriers-to-meeting-arkansas-medicaid-work-and-reporting-requirements-in-2018/
[9] https://www.kff.org/health-costs/issue-brief/data-note-americans-challenges-health-care-costs/
[7] https://www.kff.org/report-section/kaiser-family-foundation-la-times-survey-of-adults-with-employer-sponsored-insurance-section-6-cost-conscious-health-care-shopping-behaviors/
[7] https://www.healthsystemtracker.org/brief/an-examination-of-surprise-medical-bills-and-proposals-to-protect-consumers-from-them
[6] https://t.co/7LykkztyUA
[6] https://www.kff.org/medicaid/issue-brief/medicaid-financial-eligibility-for-seniors-and-people-with-disabilities-findings-from-a-50-state-survey
[5] https://www.kff.org/private-insurance/report/kaiser-family-foundation-la-times-survey-of-adults-with-employer-sponsored-insurance/
[5] https://www.axios.com/universal-coverage-falls-short-health-insurance-c977b0f0-e5d6-4409-80f2-148102fd74cc.html
[4] https://www.kff.org/medicare/issue-brief/how-does-prescription-drug-spending-and-use-compare-across-large-employer-plans-medicare-part-d-and-medicaid

Top URLs in Tweet in G2:
[5] https://twitter.com/KaiserFamFound/status/1141709799417143296
[4] https://www.kff.org/a62eb4f/
[2] https://www.kff.org/health-reform/poll-finding/kff-health-tracking-poll-june-2019/
[1] https://americashealthcarefuture.org/kaiser-poll-most-unaware-of-dramatic-changes-to-health-care-under-medicare-for-all/
[1] https://americashealthcarefuture.org/three-key-points-on-medicare-for-all/
[1] https://twitter.com/KaiserFamFound/status/1138817511254876161
[1] https://news.vice.com/en_us/article/evy8az/louisiana-just-struck-a-deal-to-get-an-unlimited-supply-of-a-dollar24k-hep-c-cure
[1] https://twitter.com/ParasiteAHCF/status/1141441702298697728?s=19
[1] https://twitter.com/ParasiteAHCF/status/1141793193614295041?s=19
[1] https://twitter.com/ParasiteAHCF/status/1141445397665071104?s=19

Top URLs in Tweet in G3:
[2] https://www.benefitspro.com/2019/06/13/infographic-women-pay-more-for-health-services-get-less/
[1] https://www.healthsystemtracker.org/brief/an-examination-of-surprise-medical-bills-and-proposals-to-protect-consumers-from-them/
[1] https://www.latimes.com/politics/la-na-pol-lower-drug-prices-germany-20190619-story.html
[1] https://www.healthsystemtracker.org/chart-collection/recent-trends-characteristics-workers-high-drug-spending-2016/#item-the-share-of-women-of-reproductive-age-who-had-out-of-pocket-spending-on-oral-contraceptive-pills-fell-sharply-after-the-aca
[1] https://www.kff.org/health-reform/poll-finding/kff-health-tracking-poll-june-2019/
[1] https://www.help.senate.gov/chair/newsroom/press/alexander-bipartisan-legislation-will-lower-what-americans-pay-out-of-their-own-pockets-for-health-care
[1] https://twitter.com/StephArmour1/status/1141762701225615360
[1] https://jamanetwork.com/journals/jama/fullarticle/2735482?guestAccessKey=1c1e0f2d-79a2-496c-b8bd-1ce4210d6ef0&utm_source=twitter&utm_medium=social_jama&utm_term=2398704809&utm_content=followers-article_engagement-figure-tfl&utm_campaign=article_alert&linkId=68878729
[1] https://twitter.com/cynthiaccox/status/1141625705614254080
[1] https://twitter.com/KaiserFamFound/status/1138824787747397632

Top URLs in Tweet in G4:
[1] https://www.youtube.com/watch?v=zqUAFhvuFGo&feature=youtu.be


Top URLs in Tweet in G5:
[3] https://californiahealthline.org/MzE0NDEw
[3] https://californiahealthline.org/MzE0MTY5
[2] https://www.kff.org/health-costs/issue-brief/data-note-americans-challenges-health-care-costs/
[1] https://californiahealthline.org/MzE0MjY2
[1] https://californiahealthline.org/MzEzNTg5
[1] https://twitter.com/CHCFNews/status/1140686043269783557
[1] https://khn.org/OTU4MTM3
[1] https://khn.org/OTU4OTEw
[1] https://khn.org/OTU3MjI2
[1] https://khn.org/OTYxNDE0

Top URLs in Tweet in G6:
[1] https://twitter.com/a_salganicoff/status/1139317500900827136
[1] https://twitter.com/laurie_sobel/status/1130604717325733888
[1] https://twitter.com/mikeshepherdME/status/1139186081893630177
[1] https://www.google.com/amp/s/www.kff.org/womens-health-policy/fact-sheet/oral-contraceptive-pills/amp/
[1] https://www.kff.org/omens-health-policy/issue-brief/new-title-x-regulations-implications-for-women-and-family-planning-providers/
[1] https://twitter.com/kaiserfamfound/status/1139655257691164677
[1] https://www2.softheon.com/l/145551/2019-06-12/22py12/46737
[1] https://www2.softheon.com/l/145551/2019-06-12/22pz5j/46739
[1] https://www.kff.org/health-reform/issue-brief/testimony-strategies-improving-health-coverage-reducing-costs-major-proposals-key-considerations/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed:+kff/healthreform+(Reports+on+Health+Reform+from+the+Kaiser+Family+Foundation)
[1] https://www2.softheon.com/l/145551/2019-06-13/22q1vq/46801

Top URLs in Tweet in G7:
[2] https://twitter.com/KaiserFamFound/status/1138794085773467648
[1] https://twitter.com/kaiserfamfound/status/1137943728390311938
[1] https://twitter.com/KaiserFamFound/status/751491794689490945
[1] https://twitter.com/kaiserfamfound/status/1138186323074920454
[1] https://twitter.com/KaiserFamFound/status/1138241701594746880
[1] https://twitter.com/KaiserFamFound/status/1138461143633190920
[1] https://twitter.com/KaiserFamFound/status/1138478001958662144
[1] https://twitter.com/kaiserfamfound/status/1138794085773467648
[1] https://twitter.com/kaiserfamfound/status/1138948096346460160
[1] https://twitter.com/kaiserfamfound/status/1133100814283792384

Top URLs in Tweet in G8:
[2] https://www.healthsystemtracker.org/brief/an-examination-of-surprise-medical-bills-and-proposals-to-protect-consumers-from-them/
[1] https://twitter.com/KaiserFamFound/status/1142456966721282048
[1] https://twitter.com/KaiserFamFound/status/1142547815014576128
[1] https://www.healthsystemtracker.org/indicator/spending/per-capita-spending/
[1] https://www.healthsystemtracker.org/chart-collection/how-does-prescription-drug-spending-and-use-compare-across-large-employer-plans-medicare-part-d-and-medicaid/#item-top-10-drugs-by-average-out-of-pocket-spending-per-user-2016
[1] https://www.healthsystemtracker.org/health-spending-explorer/
[1] https://www.healthsystemtracker.org/dashboard/
[1] https://www.healthsystemtracker.org/chart-collection/u-s-life-expectancy-compare-countries/
[1] https://twitter.com/KaiserFamFound/status/1138794085773467648
[1] https://www.kff.org/global-health-policy/fact-sheet/key-u-s-government-agency-positions-and-officials-in-global-health-policy-related-areas/

Top URLs in Tweet in G9:
[1] https://www.kff.org/private-insurance/report/kaiser-family-foundation-la-times-survey-of-adults-with-employer-sponsored-insurance/
[1] http://kut.org/post/texans-large-employer-health-plans-are-most-likely-get-surprise-medical-bills-study-finds
[1] https://www.healthsystemtracker.org/brief/an-examination-of-surprise-medical-bills-and-proposals-to-protect-consumers-from-them/#item-start
[1] https://www.healthsystemtracker.org/brief/an-examination-of-surprise-medical-bills-and-proposals-to-protect-consumers-from-them/
[1] https://www.healthsystemtracker.org/chart-collection/how-do-healthcare-prices-and-use-in-the-u-s-compare-to-other-countries/

Top Domains
Top Domains in Tweet in Entire Graph:
[204] kff.org
[120] twitter.com
[38] t.co
[35] globalhealthhub.org
[26] healthsystemtracker.org
[9] jamanetwork.com
[8] californiahealthline.org
[7] coloradohealth.org
[7] axios.com
[5] khn.org

Top Domains in Tweet in G1:
[163] kff.org
[38] t.co
[35] globalhealthhub.org
[22] twitter.com
[13] healthsystemtracker.org
[7] axios.com
[5] jamanetwork.com
[4] opiniontoday.com
[3] bettermedicarealliance.org
[2] washingtonpost.com

Top Domains in Tweet in G2:
[10] twitter.com
[6] kff.org
[2] americashealthcarefuture.org
[1] vice.com
[1] theintercept.com

Top Domains in Tweet in G3:
[6] twitter.com
[4] kff.org
[3] benefitspro.com
[2] healthsystemtracker.org
[2] jamanetwork.com
[1] latimes.com
[1] senate.gov
[1] house.gov
[1] cms.gov

Top Domains in Tweet in G4:
[1] youtube.com

Top Domains in Tweet in G5:
[8] californiahealthline.org
[5] kff.org
[4] khn.org
[2] twitter.com
[1] mailchi.mp

Top Domains in Tweet in G6:
[5] twitter.com
[3] softheon.com
[2] kff.org
[1] google.com
[1] politico.com
[1] jamanetwork.com

Top Domains in Tweet in G7:
[32] twitter.com
[1] nytimes.com

Top Domains in Tweet in G8:
[8] healthsystemtracker.org
[4] twitter.com
[1] kff.org
[1] cdc.gov

Top Domains in Tweet in G9:
[3] healthsystemtracker.org
[1] kff.org
[1] kut.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[92] medicaid
[59] medicareforall
[57] titlex
[24] hiv
[19] medicare
[17] lgbtq
[16] healthcare
[12] partd
[11] lgbt
[10] hivtestingday



Top Hashtags in Tweet in G1:
[51] medicaid
[36] titlex
[18] hiv
[16] medicareforall
[8] healthcare
[6] health
[4] opioid
[4] antibiotics
[4] surprisebills
[4] singlepayer

Top Hashtags in Tweet in G2:
[8] medicareforall
[5] ab1611
[2] medicaid
[1] democraticsocialism
[1] cannabis
[1] jimcrow
[1] elpaso
[1] biglie
[1] singlepayer
[1] corrupt

Top Hashtags in Tweet in G3:
[20] medicareforall
[13] medicare
[12] partd
[8] titlex
[7] aca
[7] medicaid
[6] contraception
[3] hiv
[2] singlepayer
[1] ebola

Top Hashtags in Tweet in G4:
[2] rrtt
[1] wintergreen
[1] arius
[1] injunction
[1] mom
[1] mindcontrolled

Top Hashtags in Tweet in G5:
[4] democratic
[4] healthcare
[2] california
[2] iminpain
[2] medicareforall
[1] vaccine
[1] sb276
[1] caleg
[1] newyork
[1] lgbtq

Top Hashtags in Tweet in G6:
[10] medicaid
[8] titlex
[5] medicareforall
[3] ruralmoms
[2] rethinkingruralhealth
[2] maternal
[2] ruralmaternalhealthweek
[1] ruralmaternalhealthforum
[1] hydeamendment
[1] healthpolicy

Top Hashtags in Tweet in G7:
[2] medicareforall
[2] copolitics
[1] healthinsurance
[1] healthcare
[1] plant19
[1] reproductiverights
[1] canada
[1] ksleg
[1] expandkancare
[1] patientsafety

Top Hashtags in Tweet in G8:
[4] globalhealth
[3] medicaid
[2] titlex
[1] accesstomeds
[1] stoprxgreed
[1] capcopays
[1] medicared
[1] msactivist
[1] surprisemedicalbill
[1] accesstocare

Top Hashtags in Tweet in G9:
[2] medicaid
[2] cue2019
[2] ebhc
[2] healthequity
[1] titlex
[1] surprisebills

Top Words
Top Words in Tweet in Entire Graph:
[963] Words in Sentiment List#1: Positive
[1119] Words in Sentiment List#2: Negative
[7] Words in Sentiment List#3: Angry/Violent
[42125] Non-categorized Words
[44207] Total Words
[1307] kaiserfamfound
[494] health
[342] new
[324] more
[291] care

Top Words in Tweet in G1:
[640] kaiserfamfound
[265] health
[216] new
[169] medicare
[165] more
[158] coverage
[145] care
[119] medicaid
[118] people
[105] s

Top Words in Tweet in G2:
[94] kaiserfamfound
[86] p4ahcf
[30] washingtonpost
[22] care
[20] health
[18] americans
[17] system
[16] insurance
[15] medicare
[11] people

Top Words in Tweet in G3:
[222] kaiserfamfound
[62] health
[46] more
[44] medicare
[38] new
[37] care
[35] coverage
[35] humana
[33] people
[33] cost

Top Words in Tweet in G4:
[12] kaiserfamfound
[8] nihdirector
[8] droz
[8] chronicle
[7] modfarm
[7] libya
[7] libyanhistory
[7] libyainus
[7] uolondon
[7] _mastersdegree_

Top Words in Tweet in G5:
[19] kaiserfamfound
[9] health
[8] care
[7] s
[7] more
[6] according
[6] candidates
[6] pain
[6] percent
[5] americans

Top Words in Tweet in G6:
[42] kaiserfamfound
[15] cmsgov
[13] new
[12] health
[10] a_salganicoff
[10] #medicaid
[10] requirement
[9] women
[8] #titlex
[8] care

Top Words in Tweet in G7:
[8] health
[7] care
[5] want
[5] costs
[4] more
[4] women
[4] people
[3] plan
[3] medicare
[3] everyone

Top Words in Tweet in G8:
[41] kaiserfamfound
[28] health
[25] spending
[25] s
[24] u
[16] petersonchealth
[12] comparable
[11] still
[11] coverage
[10] though

Top Words in Tweet in G9:
[45] kaiserfamfound
[19] health
[18] more
[15] new
[11] latimes
[11] out
[10] care
[9] employer
[8] medical
[8] people

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[198] health,care
[80] care,costs
[73] family,planning
[71] u,s
[68] kaiserfamfound,new
[64] employer,coverage
[61] out,pocket
[56] emergency,visits
[52] p4ahcf,kaiserfamfound
[51] new,kaiserfamfound

Top Word Pairs in Tweet in G1:
[105] health,care
[52] family,planning
[42] employer,coverage
[42] care,costs
[41] u,s
[39] out,pocket
[39] emergency,visits
[39] kaiserfamfound,new
[34] part,d
[33] those,employer

Top Word Pairs in Tweet in G2:
[52] p4ahcf,kaiserfamfound
[28] p4ahcf,washingtonpost
[28] washingtonpost,kaiserfamfound
[9] health,care
[9] one,size
[9] size,fits
[5] kaiserfamfound,here
[5] care,system
[5] health,insurance
[5] california,needs

Top Word Pairs in Tweet in G3:
[23] health,care
[19] humana,cvshealth
[19] kaiserfamfound,jcubanski
[19] jcubanski,tricia_neuman
[18] drugchannels,unitedhealthgrp
[18] unitedhealthgrp,humana
[18] cvshealth,kaiserfamfound
[14] kaiserfamfound,new
[14] larry_levitt,kaiserfamfound
[13] tricia_neuman,optumrx

Top Word Pairs in Tweet in G4:
[7] libya,libyanhistory
[7] libyanhistory,libyainus
[7] libyainus,uolondon
[7] uolondon,_mastersdegree_
[7] _mastersdegree_,iupui
[7] iupui,cynthiamckinney
[7] cynthiamckinney,iubloomington
[7] iubloomington,iodineglobal
[7] iodineglobal,secretarysonny
[7] secretarysonny,nihdirector

Top Word Pairs in Tweet in G5:
[8] health,care
[4] kaiserfamfound,poll
[4] first,#democratic
[4] #democratic,debates
[4] debates,week
[4] week,away
[4] top,issue
[4] issue,party
[4] party,s
[4] s,voters

Top Word Pairs in Tweet in G6:
[8] waiver,tracker
[7] maternal,health
[7] health,care
[7] kaiserfamfound,we've
[7] we've,updated
[7] updated,#medicaid
[7] #medicaid,section
[7] section,1115
[7] 1115,waiver
[7] tracker,2

Top Word Pairs in Tweet in G7:
[3] health,care
[2] health,plan
[2] reproductive,years
[2] care,costs

Top Word Pairs in Tweet in G8:
[24] u,s
[14] health,spending
[9] though,health
[9] spending,growth
[9] growth,moderated
[9] moderated,u
[9] s,still
[9] still,spending
[9] spending,twice
[9] twice,much

Top Word Pairs in Tweet in G9:
[8] large,employer
[7] health,care
[6] employer,more
[5] emergency,visits
[5] according,research
[5] research,kaiserfamfound
[4] kaiserfamfound,new
[4] kaiserfamfound,out
[4] out,today
[4] today,texans

Top Replied-To
Top Replied-To in Entire Graph:
@kaiserfamfound
@p4ahcf
@larry_levitt
@kffdogs
@stephimargeth
@sarahkliff
@neuroicudoc
@xpostfactoid
@prof_goldberg
@vincentrk

Top Replied-To in G1:
@kaiserfamfound
@kffdogs
@sarahkliff
@prof_goldberg
@politics_polls
@michaeldkarras
@issahaddad_
@singlepayfacts
@latimes
@ghhub

Top Replied-To in G2:
@p4ahcf
@hilaryagro
@dmorrison1979
@mediastopbernie
@zoe_samuel
@prog_mustard
@m4aexplained
@bacarver
@thevagueblur
@seattle_sanders

Top Replied-To in G3:
@kaiserfamfound
@larry_levitt
@dwebbkhn
@drugchannels
@maddenspharma
@clayforsberg
@darwinaward2
@bruceymonkey
@milo_gibaldi
@jcubanski

Top Replied-To in G4:
@stephimargeth
@kaiserfamfound
@publixhelps
@0zyx

Top Replied-To in G5:
@ilhanmn
@kaiserfamfound
@j_boy209
@thedemcoalition
@khnews

Top Replied-To in G6:
@susanwbrooks
@petersonchealth
@katgodspell
@kaiserfamfound
@alysonknorthrup

Top Replied-To in G8:
@denutrients

Top Replied-To in G9:
@kaiserfamfound

Top Replied-To in G10:
@intdiabetesfed

Top Mentioned
Top Mentioned in Entire Graph:
@kaiserfamfound
@p4ahcf
@tricia_neuman
@larry_levitt
@unitedhealthgrp
@humana
@latimes
@washingtonpost
@sarahkliff
@drugchannels

Top Mentioned in G1:
@kaiserfamfound
@sarahkliff
@larry_levitt
@judycbpp
@mattbc
@latimes
@a_salganicoff
@sf_dph
@mmusumec
@drewaltman

Top Mentioned in G2:
@kaiserfamfound
@p4ahcf
@washingtonpost
@aewright
@hrpolicy
@colinb1123
@bacarver
@texasmonthly
@nymag
@newyorker

Top Mentioned in G3:
@kaiserfamfound
@unitedhealthgrp
@humana
@tricia_neuman
@drugchannels
@cvshealth
@jcubanski
@repjayapal
@jama_current
@larry_levitt

Top Mentioned in G4:
@kaiserfamfound
@modfarm
@libya
@libyanhistory
@libyainus
@uolondon
@_mastersdegree_
@iupui
@cynthiamckinney
@iubloomington

Top Mentioned in G5:
@kaiserfamfound
@shefalil
@ashleykirzinger
@kpmemberservice
@npr
@calhealthline
@echoechor
@eklucas
@rachelhbluth
@juliarphoto

Top Mentioned in G6:
@kaiserfamfound
@cmsgov
@a_salganicoff
@seemacms
@aliceollstein
@amrutha__ram
@hrsagov
@hhsgov
@repjayapal
@mmusumec

Top Mentioned in G8:
@kaiserfamfound
@petersonchealth
@kmossgh
@achi_net
@paracelsusrehab
@pediacast
@raithelhuber
@moodymatters
@tmarshallmph
@maiasz

Top Mentioned in G9:
@kaiserfamfound
@latimes
@ashlopezradio
@ncpssm
@petersonchealth
@kut
@cmsgov
@milo_gibaldi
@rubbah
@cynthiaccox

Top Mentioned in G10:
@ucdiabetes
@amdiabetesassn
@ada_diabetespro
@diabetespac
@kovlerdiabetes
@wdd
@diabetesuk
@diabetescanada
@nih
@einsteinmed

Top Tweeters
Top Tweeters in Entire Graph:
@argojournal
@applebees
@pas5974
@businessinsider
@guardian
@yayayarndiva
@sueleugers
@ektrit
@sws_edu
@lehigh389

Top Tweeters in G1:
@pas5974
@ektrit
@sws_edu
@lehigh389
@sullyanne1
@samhainnight
@karoli
@cultiv8hope
@cblazblaz
@tallyannae

Top Tweeters in G2:
@businessinsider
@slate
@bostonglobe
@nytimes
@time
@washingtonpost
@paulsorrentino3
@usatoday
@thedailybeast
@cnbc

Top Tweeters in G3:
@mumbly_joe
@monitor_ph
@donnayoungdc
@rustyprocter
@gambiste1
@gameing
@lindarockey52
@mommamia6512
@clayforsberg
@deannamarie208

Top Tweeters in G4:
@applebees
@nbcnews
@mlb
@todayshow
@publix
@tvguide
@publixhelps
@thetalkcbs
@techradar
@theview

Top Tweeters in G5:
@yayayarndiva
@forbes
@npr
@thedemcoalition
@kpmemberservice
@johnshopkins
@calhealthline
@pafpandf
@echoechor
@biff_bruise

Top Tweeters in G6:
@katgodspell
@carynlonz
@njanitz
@aliceollstein
@rose17649641
@hhsgov
@cmsgov
@thirdwayecon
@ruralhealth
@softheon

Top Tweeters in G7:
@agnews_otto
@charlesornstein
@comments_007
@tppf
@chicagoscience
@indivisibleiowa
@codysibley
@annettetorr
@alexruoff
@achentpchd

Top Tweeters in G8:
@nayasala
@dianej209
@stefanielaine
@jogtweet
@denutrients
@hilarykimmorden
@maiasz
@pediacast
@jengrahamandted
@drklauser

Top Tweeters in G9:
@latimes
@jdf754
@misterchambo
@calimbnyc
@hhask
@kut
@lymenews
@egkimberly
@delaware_dhss
@blkwomenshealth

Top Tweeters in G10:
@diabetesuk
@einsteinmed
@umich
@uofalabama
@amdiabetesassn
@stanford
@indianauniv
@ucsf
@diabetescanada
@intdiabetesfed


We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.