kaiserfamfound, Twitter, 8/12/2019 9:53:53 PM, 206551


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kaiserfamfound_2019-08-12_11-25-03.xlsx
kaiserfamfound_2019-08-12_11-25-03.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
August 12, 2019
Short Description:
kaiserfamfound via NodeXL http://bit.ly/2MWP8TD
@kaiserfamfound
@davidsirota
@ddiamond
@charles_gaba
@liquidlingvist
@theoc2ps
@larry_levitt
@emilyekins
@kff
@aarphawaii

Top hashtags:
#demdebate
#aca
#medicareforall
#texasvus
#election2020
#obamacare
#stoprxgreed

Description:
Description
The graph represents a network of 1,149 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 Monday, 12 August 2019 at 18:25 UTC.

The requested start date was Monday, 12 August 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, 22-hour, 17-minute period from Monday, 29 July 2019 at 00:08 UTC to Sunday, 11 August 2019 at 22:25 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 : 1149
Unique Edges : 1441
Edges With Duplicates : 1118
Total Edges : 2559
Number of Edge Types : 3
Mentions : 2126
Tweet : 192
Replies to : 241
Self-Loops : 192
Reciprocated Vertex Pair Ratio : 0.0172855313700384
Reciprocated Edge Ratio : 0.0339836375078666
Connected Components : 41
Single-Vertex Connected Components : 29
Maximum Vertices in a Connected Component : 1087
Maximum Edges in a Connected Component : 2501
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.038144
Graph Density : 0.00120465303869749
Modularity : 0.465198
NodeXL Version : 1.0.1.418

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[23] https://www.kff.org/health-reform/poll-finding/kff-health-tracking-poll-july-2019/
[15] https://twitter.com/KaiserFamFound/status/1156951868859441152
[10] https://twitter.com/KaiserFamFound/status/1156600210287673344
[7] https://www.kff.org/global-health-policy/issue-brief/the-current-ebola-outbreak-and-the-u-s-role-an-explainer/
[6] https://twitter.com/KaiserFamFound/status/1157366072267423745
[5] https://www.kff.org/health-reform/issue-brief/data-note-prescription-drugs-and-older-adults/
[5] https://www.kff.org/health-reform/issue-brief/whats-the-role-of-private-health-insurance-today-and-under-medicare-for-all-and-other-public-option-proposals/
[5] https://twitter.com/KaiserFamFound/status/1157070931627532288
[5] http://files.kff.org/attachment/Topline-KFF-Health-Tracking-Poll%E2%80%93July-2019
[5] https://www.kff.org/medicare/issue-brief/a-look-at-recent-proposals-to-control-drug-spending-by-medicare-and-its-beneficiaries

Top URLs in Tweet in G1:
[18] https://www.kff.org/health-reform/poll-finding/kff-health-tracking-poll-july-2019/
[6] https://www.kff.org/global-health-policy/issue-brief/the-current-ebola-outbreak-and-the-u-s-role-an-explainer/
[5] https://www.kff.org/health-reform/issue-brief/whats-the-role-of-private-health-insurance-today-and-under-medicare-for-all-and-other-public-option-proposals/
[5] https://www.kff.org/medicare/issue-brief/a-look-at-recent-proposals-to-control-drug-spending-by-medicare-and-its-beneficiaries
[5] http://files.kff.org/attachment/Topline-KFF-Health-Tracking-Poll%E2%80%93July-2019
[4] https://www.kff.org/medicaid/fact-sheet/uninsured-adults-in-states-that-did-not-expand-who-would-become-eligible-for-medicaid-under-expansion
[4] https://www.kff.org/medicare/issue-brief/financial-performance-of-medicare-advantage-individual-and-group-health-insurance-markets/
[4] https://www.kff.org/other/state-indicator/firearms-death-rate-per-100000/?currentTimeframe=0&sortModel={"colId":"Firearms
[4] Death
[4] Rate

Top URLs in Tweet in G2:
[1] https://twitter.com/KaiserFamFound/status/1157070931627532288

Top URLs in Tweet in G3:
[1] https://www.kff.org/disparities-policy/fact-sheet/proposed-changes-to-public-charge-policies-for-immigrants-implications-for-health-coverage/
[1] https://twitter.com/kaiserfamfound/status/1157763324345556993
[1] https://en.m.wikipedia.org/wiki/Stephen_Miller_(political_advisor)
[1] https://twitter.com/KaiserFamFound/status/1156606201620258817

Top URLs in Tweet in G4:
[2] https://twitter.com/KaiserFamFound/status/1157275620478476289
[2] https://twitter.com/KaiserFamFound/status/1156951868859441152
[2] https://www.kff.org/infographic/medicaids-role-in-addressing-opioid-epidemic/
[1] https://twitter.com/KFF/status/1159875020564455426
[1] https://twitter.com/kaiserfamfound/status/1156890754134020096
[1] https://twitter.com/kaiserfamfound/status/1158018002232717314
[1] https://www.washingtonpost.com/opinions/2019/08/01/democratic-debates-suffer-nasty-case-plan-itis/?utm_term=.3f7b7734477f
[1] https://www.kff.org/report-section/financial-performance-of-medicare-advantage-individual-and-group-health-insurance-markets-issue-brief/
[1] https://twitter.com/GretchJacob/status/1158469565388603392
[1] https://www.nytimes.com/2019/07/31/health/medicare-insurance.html

Top URLs in Tweet in G5:
[1] https://www.healthsystemtracker.org/chart-collection/current-costs-outcomes-related-mental-health-substance-abuse-disorders/?_sf_s=mental#item-30-percent-adults-serious-mental-illness-not-receiving-mental-health-treatment
[1] https://www.kff.org/medicaid/issue-brief/understanding-the-intersection-of-medicaid-and-work-what-does-the-data-say/
[1] https://peteforamerica.com/wp-content/uploads/2019/08/RuralHealth_whitePaper.pdf
[1] https://www.kff.org/health-reform/issue-brief/how-affordable-are-2019-aca-premiums-for-middle-income-people/
[1] https://twitter.com/KaiserFamFound/status/1157366072267423745
[1] https://twitter.com/KaiserFamFound/status/1159123292575457287
[1] https://www.kff.org/medicare/issue-brief/a-dozen-facts-about-medicare-advantage-in-2019/
[1] https://twitter.com/StephArmour1/status/1156642966599032832
[1] https://www.nber.org/papers/w26120
[1] https://www.kff.org/medicare/issue-brief/a-look-at-recent-proposals-to-control-drug-spending-by-medicare-and-its-beneficiaries/

Top URLs in Tweet in G6:
[2] https://www.kff.org/health-reform/poll-finding/kff-health-tracking-poll-july-2019/
[2] https://twitter.com/hansilowang/status/1158530221596958725
[2] https://twitter.com/KaiserFamFound/status/1156600210287673344
[1] https://www.kff.org/disparities-policy/issue-brief/hhss-proposed-changes-to-non-discrimination-regulations-under-aca-section-1557/
[1] https://twitter.com/KaiserFamFound/status/1159470072466989056
[1] http://www.nationalacademies.org/hmd/Reports/2018/the-safety-and-quality-of-abortion-care-in-the-united-states.aspx
[1] https://twitter.com/rosiewestwood/status/1156597614424580097
[1] https://www.ropercenter.cornell.edu/CFIDE/cf/action/catalog/catalogResult.cfm?keyword=&country=All+Countries&organization=kaiser+OR+siena&type=&fromDate=01/01/2019&toDate=03/01/2019&search.x=103&search.y=11&sortBy=BEG_DATE_DESC
[1] https://academic.oup.com/poq/advance-article/doi/10.1093/poq/nfz016/5539761
[1] https://ropercenter.cornell.edu/ssrs-data-provider-page

Top URLs in Tweet in G7:
[3] https://www.kff.org/health-reform/issue-brief/data-note-prescription-drugs-and-older-adults/
[3] https://www.kff.org/health-reform/poll-finding/kff-health-tracking-poll-july-2019/
[2] https://www.kff.org/medicaid/issue-brief/understanding-the-intersection-of-medicaid-and-work-what-does-the-data-say
[1] https://t.co/oPqA0CgEOy
[1] https://www.kff.org/other/slide/gun-violence-makes-u-s-an-outlier-not-mental-illness/
[1] http://kff.org/health-reform/press-release/an-estimated-52-million-adults-have-pre-existing-conditions-that-would-make-them-uninsurable-pre-obamacare/?utm_sq=fozcn8izas&utm_source=Twitter&utm_medium=social&utm_campaign=PreexistingOrg&utm_content=News+and+Stats
[1] https://twitter.com/NoamLevey/status/1157275191132741638
[1] https://www.kff.org/health-costs/press-release/among-people-with-employer-coverage-those-with-persistently-high-spending-for-several-years-averaged-almost-88000-in-health-spending-in-2017/?utm_campaign=KHN%3A%20Daily%20Health%20Policy%20Report&utm_source=hs_email&utm_medium=email&utm_content=75254657&_hsenc=p2ANqtz-9buURcofMaclRa_qqcLmKFhgxYW8MhWu32nHrRVlrhHkGRvlNlH4vVZlwcyqs3sMlDmziHiophYB6hvIRVeVOf-EOC0w&_hsmi=75254657
[1] https://californiahealthline.org/MzE4MDAy
[1] https://californiahealthline.org/MzE3NzQ2

Top URLs in Tweet in G8:
[5] https://twitter.com/KaiserFamFound/status/1156600210287673344
[3] https://twitter.com/KaiserFamFound/status/1156564428424396801
[2] https://www.kff.org/news-summary/coordinated-global-action-vital-to-effective-ncd-response-in-low-middle-income-countries/
[1] https://khn.org/news/trump-wants-to-take-guns-away-from-people-in-crisis-will-that-work/
[1] https://twitter.com/KHNews/status/1151950163403005959
[1] https://khn.org/OTc4OTA1
[1] https://khn.org/OTc5NTg5
[1] https://n.pr/2GC1Rr3
[1] https://twitter.com/shefalil/status/1156977571835371525
[1] https://khn.org/OTgxODE4

Top URLs in Tweet in G9:
[3] https://twitter.com/KaiserFamFound/status/1156600210287673344
[2] https://twitter.com/KaiserFamFound/status/1157070931627532288
[1] https://twitter.com/KaiserFamFound/status/1156728758285623298
[1] https://twitter.com/KaiserFamFound/status/1156735047703117824
[1] https://twitter.com/KaiserFamFound/status/1156946449118236672
[1] https://twitter.com/KaiserFamFound/status/1156932621445869584
[1] https://twitter.com/KaiserFamFound/status/1156951868859441152
[1] https://twitter.com/kaiserfamfound/status/1156918007479906304
[1] https://twitter.com/KaiserFamFound/status/1156989475945361408
[1] https://twitter.com/KaiserFamFound/status/1157366072267423745

Top Domains
Top Domains in Tweet in Entire Graph:
[167] kff.org
[140] twitter.com
[13] healthsystemtracker.org
[13] globalhealthhub.org
[12] t.co
[7] washingtonpost.com
[6] khn.org
[4] fiercehealthcare.com
[3] actionnetwork.org
[3] californiahealthline.org

Top Domains in Tweet in G1:
[122] kff.org
[23] twitter.com
[11] t.co
[10] healthsystemtracker.org
[5] washingtonpost.com
[3] youtube.com
[3] actionnetwork.org
[3] benefitspro.com
[2] vbidcenter.org
[1] axios.com

Top Domains in Tweet in G2:
[1] twitter.com

Top Domains in Tweet in G3:
[2] twitter.com
[1] kff.org
[1] wikipedia.org

Top Domains in Tweet in G4:
[9] twitter.com
[6] kff.org
[1] washingtonpost.com
[1] nytimes.com

Top Domains in Tweet in G5:
[5] kff.org
[4] twitter.com
[2] kqed.org
[1] healthsystemtracker.org
[1] peteforamerica.com
[1] nber.org
[1] congress.gov
[1] washingtonpost.com

Top Domains in Tweet in G6:
[11] twitter.com
[7] kff.org
[2] cornell.edu
[1] nationalacademies.org
[1] oup.com
[1] ebar.com

Top Domains in Tweet in G7:
[13] kff.org
[3] twitter.com
[3] californiahealthline.org
[2] healthsystemtracker.org
[1] t.co
[1] khn.org
[1] chcf.org

Top Domains in Tweet in G8:
[13] twitter.com
[4] khn.org
[2] kff.org
[1] n.pr

Top Domains in Tweet in G9:
[27] twitter.com
[1] kff.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[89] demdebate
[29] aca
[28] medicareforall
[27] texasvus
[24] election2020
[22] obamacare
[18] stoprxgreed
[13] healthcare
[12] medicaid
[11] medicare



Top Hashtags in Tweet in G1:
[27] demdebate
[20] election2020
[19] texasvus
[16] medicareforall
[7] medicare
[6] pbm
[6] drugs
[6] healthcare
[5] hiv
[5] telemedicine

Top Hashtags in Tweet in G4:
[44] demdebate
[26] aca
[18] obamacare
[4] medicareforall
[4] texasvus
[2] telemedicine
[2] expandmedicaid
[1] election2020
[1] hiv
[1] healthcare

Top Hashtags in Tweet in G5:
[2] texasvus

Top Hashtags in Tweet in G6:
[5] polls
[3] hiv
[3] prep
[2] newdata
[2] ias2019
[1] ebola
[1] publichealth
[1] publicopinion
[1] healthcare
[1] obamacare

Top Hashtags in Tweet in G7:
[4] medicaid
[3] telemedicine
[2] medicareforall
[2] protectourcare
[2] texasvus
[1] california
[1] reproductivejustice
[1] essentialcoverage
[1] obamacare

Top Hashtags in Tweet in G8:
[3] demdebates
[2] medicareforall
[2] demdebate
[1] elpaso
[1] dayton
[1] aca
[1] anemia
[1] medicaid
[1] wthealth
[1] demdembates

Top Hashtags in Tweet in G9:
[2] healthcare
[1] mentalhealthawareness
[1] preexistingcondition
[1] ama
[1] cmadocs
[1] m4a
[1] accesstocare
[1] msactivist
[1] msactvist
[1] affordablequalitycare

Top Hashtags in Tweet in G10:
[2] demdebate
[2] cato2020

Top Words
Top Words in Tweet in Entire Graph:
[1162] Words in Sentiment List#1: Positive
[1056] Words in Sentiment List#2: Negative
[7] Words in Sentiment List#3: Angry/Violent
[39438] Non-categorized Words
[41656] Total Words
[1077] kaiserfamfound
[478] health
[405] medicare
[254] care
[224] s

Top Words in Tweet in G1:
[582] kaiserfamfound
[221] health
[196] medicare
[117] medicaid
[111] s
[97] care
[94] more
[90] new
[88] aca
[83] income

Top Words in Tweet in G2:
[81] now
[81] understand
[81] pharmaceutical
[81] companies
[81] bought
[81] congress
[81] made
[81] sure
[81] bankrolled
[81] lawmakers

Top Words in Tweet in G3:
[138] rule
[135] â
[88] ddiamond
[72] health
[71] miller
[70] care
[69] desperately
[69] change
[69] big
[69] implications

Top Words in Tweet in G4:
[131] kaiserfamfound
[50] health
[44] #demdebate
[42] charles_gaba
[39] medicare
[31] dem
[31] candidate
[29] s
[29] even
[27] poll

Top Words in Tweet in G5:
[89] medicare
[59] larry_levitt
[47] kaiserfamfound
[39] issue
[34] health
[34] one
[32] plans
[30] private
[30] beneficiaries
[28] third

Top Words in Tweet in G6:
[37] kaiserfamfound
[13] health
[11] abortion
[11] s
[11] cynthiaccox
[10] ashleykirzinger
[9] laurie_sobel
[9] up
[9] care
[9] aca

Top Words in Tweet in G7:
[43] kaiserfamfound
[26] states
[25] kff
[25] health
[22] week
[21] united
[20] chart
[20] relative
[20] oecd
[20] countries

Top Words in Tweet in G8:
[11] kaiserfamfound
[9] health
[6] khnews
[5] kaiser
[5] plan
[4] applies
[4] foundation
[4] hospitals
[4] medical
[4] groups

Top Words in Tweet in G9:
[10] health
[6] people
[4] care
[4] insurance
[3] need
[3] hear
[3] coverage
[3] access
[3] prescription
[3] data

Top Words in Tweet in G10:
[26] emilyekins
[25] medicare
[25] taxes
[24] opposed
[24] private
[24] insurance
[23] americans
[23] oppose
[23] plans
[22] raises

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[225] health,care
[85] medicare,advantage
[82] pharmaceutical,companies
[81] now,understand
[81] understand,pharmaceutical
[81] companies,bought
[81] bought,congress
[81] congress,made
[81] made,sure
[81] sure,bankrolled

Top Word Pairs in Tweet in G1:
[83] health,care
[51] u,s
[46] medicare,advantage
[43] prescription,drug
[42] 000,uninsured
[39] long,term
[38] detention,even
[38] even,brief
[38] brief,periods
[38] periods,short

Top Word Pairs in Tweet in G2:
[81] now,understand
[81] understand,pharmaceutical
[81] pharmaceutical,companies
[81] companies,bought
[81] bought,congress
[81] congress,made
[81] made,sure
[81] sure,bankrolled
[81] bankrolled,lawmakers
[81] lawmakers,work

Top Word Pairs in Tweet in G3:
[70] health,care
[69] rule,miller
[69] miller,desperately
[69] desperately,change
[69] big,implications
[69] implications,health
[68] ddiamond,rule
[45] â,â
[44] change,â
[44] â,œpublic

Top Word Pairs in Tweet in G4:
[31] dem,candidate
[26] corybooker,dem
[26] candidate,even
[26] even,mention
[26] mention,lawsuit
[26] lawsuit,#demdebate
[26] #demdebate,evening
[26] evening,#aca
[25] charles_gaba,corybooker
[25] #aca,isâ

Top Word Pairs in Tweet in G5:
[28] one,third
[28] medicare,beneficiaries
[27] third,medicare
[27] medicare,advantage
[27] advantage,plans
[26] beneficiaries,private
[26] private,medicare
[26] plans,quite
[26] quite,profitable
[26] profitable,key

Top Word Pairs in Tweet in G6:
[7] even,marketplace
[7] marketplace,plans
[7] plans,cover
[7] cover,abortions
[7] abortions,many
[7] many,impose
[7] impose,limitations
[7] limitations,time
[7] time,limits
[7] limits,covering

Top Word Pairs in Tweet in G7:
[21] united,states
[20] chart,week
[20] week,relative
[20] relative,oecd
[20] oecd,countries
[20] countries,united
[20] states,outlier
[20] outlier,disease
[20] disease,burden
[20] burden,due

Top Word Pairs in Tweet in G8:
[4] applies,kaiser
[4] kaiser,foundation
[4] foundation,health
[4] health,plan
[4] plan,hospitals
[4] hospitals,medical
[4] medical,groups
[4] groups,well
[3] raksingh,applies
[3] kaiserfamfound,khnews

Top Word Pairs in Tweet in G9:
[3] health,care
[3] people,hear
[2] prescription,drugs
[2] access,health

Top Word Pairs in Tweet in G10:
[23] americans,oppose
[23] private,insurance
[22] oppose,medicare
[22] medicare,raises
[22] raises,taxes
[22] taxes,60
[22] 60,opposed
[22] opposed,eliminates
[22] eliminates,private
[22] insurance,plans

Top Replied-To
Top Replied-To in Entire Graph:
@scotty_ham_
@kaiserfamfound
@larry_levitt
@trickystump
@merikoivusalo
@cynthiaccox
@p4ahcf
@cuyahogacounty
@neoavatara
@toolewlew

Top Replied-To in G1:
@kaiserfamfound
@p4ahcf
@guenth38
@_rachel_dolan
@iwiilkaga
@politics_polls
@jcubanski

Top Replied-To in G3:
@toolewlew
@ddiamond
@yancyfaith
@jshoreboston
@burlisonjean

Top Replied-To in G4:
@drewaltman
@kaiserfamfound
@paulnvandewater

Top Replied-To in G5:
@larry_levitt
@kqedforum
@kaiserfamfound
@jcubanski
@matthew_t_rae

Top Replied-To in G6:
@cynthiaccox
@kaiserfamfound
@drewaltman
@chelsearice
@drsoup34
@laurie_sobel

Top Replied-To in G7:
@calhealthline
@cynthiaccox
@charles_gaba

Top Replied-To in G8:
@kaiserfamfound
@shannanvelayas
@jodiecongirl

Top Replied-To in G10:
@emilyekins

Top Mentioned
Top Mentioned in Entire Graph:
@kaiserfamfound
@ddiamond
@davidsirota
@larry_levitt
@r_henriques7
@charles_gaba
@drewaltman
@kff
@corybooker

Top Mentioned in G1:
@kaiserfamfound
@larry_levitt
@pnhp
@drewaltman
@khnews
@jcubanski
@hhsgov
@gretchjacob
@tricia_neuman
@postopinions

Top Mentioned in G2:
@davidsirota
@berniesanders
@kaiserfamfound

Top Mentioned in G3:
@ddiamond
@k
@kaiserfamfound
@realdonaldtrump

Top Mentioned in G4:
@kaiserfamfound
@charles_gaba
@corybooker
@drewaltman
@posto
@hhsgov
@dennisg_shea
@paulnvandewater
@postop

Top Mentioned in G5:
@kaiserfamfound
@larry_levitt
@hannah_recht
@kff
@kqedforum
@edwardhoffer1
@ddiamond
@sensanders

Top Mentioned in G6:
@kaiserfamfound
@ashleykirzinger
@laurie_sobel
@ropercenter
@mollybrodie
@lizhamel
@beedijulio
@cynthiaccox
@pew
@cnn

Top Mentioned in G7:
@kaiserfamfound
@kff
@petersonchealth
@edwincpark
@lizszabo
@annaalmendrala
@larry_levitt
@ashleykirzinger
@arjeter
@craigpalosky

Top Mentioned in G8:
@kaiserfamfound
@khnews
@raksingh
@emmariedc
@bmj_latest
@kffdogs
@jodiecongirl
@potus
@lizszabo
@shefalil

Top Mentioned in G10:
@emilyekins
@kaiserfamfound
@catoinstitute

Top Tweeters
Top Tweeters in Entire Graph:
@cloudwanderer3
@lotsoflovefromm
@drdaveanddee
@talkintou
@paxnostrum
@ggg_says
@thehill
@pas5974
@politicalbee
@fieryreddragon

Top Tweeters in G1:
@cloudwanderer3
@paxnostrum
@pas5974
@politicalbee
@pollsstar
@sueleugers
@kimvie
@shalisa_renee
@fran_neena20409
@auntsophie1

Top Tweeters in G2:
@drdaveanddee
@ggg_says
@bernieupstateny
@nobiggovduh
@leoluminary
@dihoppy
@truman_town
@jjmccabe2
@emmasegasture
@msrose2343

Top Tweeters in G3:
@merri__magic
@cmarpa
@anthropic
@burcham_don
@jjmplsmn
@nartist
@rodriguez_linda
@thecorollary
@sds_sunlight
@beth4158

Top Tweeters in G4:
@talkintou
@fieryreddragon
@w55unicorn
@cmpnwtr
@amy_in_michigan
@charles_gaba
@katgodspell
@reesetheone1
@nate_ready2go
@detroitrueblue

Top Tweeters in G5:
@itswanda
@givemepie360
@lizditz
@mstepczyk
@nitemists
@tahfromslc
@auriandra
@v2aggie2
@clarajeffery
@bevhallmezzo

Top Tweeters in G6:
@cnn
@jhcpw
@susansternberg
@haroldpollack
@abigmess
@shimcode
@arthurcaplan
@mspointy
@lsimonetta
@lizborkowski

Top Tweeters in G7:
@demfromct
@saludhealthinfo
@christ0pherwade
@hyperplanes
@marciasgreen
@xpostfactoid
@werthergreene
@lizszabo
@calhealthline
@theresaboyle

Top Tweeters in G8:
@foxnews
@sacbee_news
@npr
@celestebyrne3
@ocregister
@buffalopuma
@bmj_latest
@jodiecongirl
@politifact
@aafp

Top Tweeters in G9:
@lotsoflovefromm
@pa
@osavvy_one
@vitaperuro
@sdselkie
@emilyetillett
@notthemessenger
@amathison18
@stephenk_fb
@kkboise2

Top Tweeters in G10:
@18akgoyal
@dawnsfire
@katmurti
@catoinstitute
@walterolson
@mrrbourne
@wisdomofmurtiz
@libertarianism
@thesamsorboshow
@dealing4meaning


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