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mercatus_2019-11-08_14-55-43.xlsx (experimental version)
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From:
NodeXLExcelAutomator
Uploaded on:
November 08, 2019
Short Description:
mercatus via NodeXL http://bit.ly/2WTtN0u
@mercatus
@dcfairbank
@berniesanders
@tokesthe420
@jrubinblogger
@cdbrzezinski
@gop
@prussiasofia
@words_matter18
@tentoads4truth

Top hashtags:
#mercatus
#medicareforall
#smith
#econoween
#hayek
#buchanan
#coase
#north

Description:
Description
The graph represents a network of 1,252 Twitter users whose tweets in the requested range contained "mercatus", 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 22:56 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, 17-minute period from Wednesday, 23 October 2019 at 01:21 UTC to Wednesday, 06 November 2019 at 00:39 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 : 1252
Unique Edges : 1537
Edges With Duplicates : 577
Total Edges : 2114
Number of Edge Types : 3
Mentions : 1495
Replies to : 327
Tweet : 292
Self-Loops : 292
Reciprocated Vertex Pair Ratio : 0.0292018170019468
Reciprocated Edge Ratio : 0.0567465321563682
Connected Components : 201
Single-Vertex Connected Components : 87
Maximum Vertices in a Connected Component : 727
Maximum Edges in a Connected Component : 1491
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.24192
Graph Density : 0.00101260844359656
Modularity : 0.677746
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,252 Twitter users whose tweets in the requested range contained "mercatus", 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 22:56 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, 17-minute period from Wednesday, 23 October 2019 at 01:21 UTC to Wednesday, 06 November 2019 at 00:39 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 : mercatus
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:
[31] https://www.peoplespolicyproject.org/2018/07/30/mercatus-study-finds-medicare-for-all-saves-2-trillion/
[25] https://www.mercatus.org/system/files/blahous-costs-medicare-mercatus-working-paper-v1_1.pdf
[14] https://www.mercatus.org/publications/government-spending/costs-national-single-payer-healthcare-system
[14] https://www.mercatus.org/bridge/commentary/how-many-lives-are-lost-due-precautionary-principle
[9] https://www.theatlantic.com/politics/archive/2019/11/warren-medicare-all-taxes/601315/
[8] https://www.mercatus.org/publications/technology-and-innovation/smart-cities-dumb-infrastructure
[8] https://www.mercatus.org/bridge/commentary/kickstart-drone-deliveries-give-cities-and-states-regulatory-flexibility
[7] https://www.mercatus.org/publications/healthcare/promoting-maternal-health-rural-and-underserved-areas
[6] https://www.jacobinmag.com/2018/07/medicare-for-all-mercatus-center-report
[6] https://www.mercatus.org/publications/urban-economics/state-fiscal-rankings

Top URLs in Tweet in G1:
[6] https://www.mercatus.org/bridge/commentary/kickstart-drone-deliveries-give-cities-and-states-regulatory-flexibility
[6] https://www.mercatus.org/bridge/commentary/how-many-lives-are-lost-due-precautionary-principle
[6] https://www.mercatus.org/publications/technology-and-innovation/smart-cities-dumb-infrastructure
[5] https://www.mercatus.org/publications/trade-and-immigration/united-states-keeping-pace-global-competition-skilled-talent
[4] https://www.mercatus.org/publications/trade-and-immigration/executive-incentives-import-restrictions-and-competition
[3] https://www.nydailynews.com/opinion/ny-oped-on-the-nyc-subways-birthday-pop-a-cork-for-transportation-20191023-w5dz7yac2fal3gunp6t4eld3ae-story.html
[3] https://www.realclearpolicy.com/articles/2019/10/28/should_we_allow_banks_to_play_regulator_111296.html
[3] https://thehill.com/opinion/finance/468467-failed-selective-consumption-taxes-are-red-meat-for-politicians
[3] http://thehill.com/opinion/finance/466743-the-fed-is-beginning-to-learn-an-important-lesson
[3] https://www.mercatus.org/publications/regulation/mitigating-privacy-risks-while-enabling-emerging-technologies

Top URLs in Tweet in G2:
[4] https://www.mercatus.org/publications/urban-economics/state-fiscal-rankings
[4] https://twitter.com/mercatus/status/1189294595932413952
[4] https://www.mercatus.org/bridge/commentary/how-many-lives-are-lost-due-precautionary-principle
[2] https://www.peoplespolicyproject.org/2018/07/30/mercatus-study-finds-medicare-for-all-saves-2-trillion/
[2] https://www.mercatus.org/system/files/blahous-costs-medicare-mercatus-working-paper-v1_1.pdf
[2] https://www.mercatus.org/bridge/commentary/san-fran%E2%80%99s-plan-smother-innovation-permission-slips
[2] https://www.mercatus.org/bridge/commentary/kickstart-drone-deliveries-give-cities-and-states-regulatory-flexibility
[2] https://ppe.mercatus.org/publications/do-markets-corrupt-our-morals
[2] https://www.mercatus.org/publications/technology-and-innovation/smart-cities-dumb-infrastructure
[2] https://www.mercatus.org/bridge/commentary/how-get-our-dumb-infrastructure-ready-smart-cars-and-more

Top URLs in Tweet in G3:
[6] https://www.mercatus.org/system/files/blahous-costs-medicare-mercatus-working-paper-v1_1.pdf
[4] https://www.peoplespolicyproject.org/2018/07/30/mercatus-study-finds-medicare-for-all-saves-2-trillion/
[3] https://www.businessinsider.com/bernie-sanders-medicare-for-all-plan-cost-save-money-2018-7
[1] https://www.thenation.com/article/thanks-koch-brothers-proof-single-payer-saves-money/
[1] https://abcnews.go.com/Politics/32-trillion-price-tag-sanders-medicare-program-koch/story?id=56938226
[1] https://www.dcreport.org/2018/08/01/koch-brothers-confirm-medicare-for-all-saves-2-trillion/
[1] https://www.washingtonpost.com/news/fact-checker/wp/2018/08/07/democrats-seize-on-cherry-picked-claim-that-medicare-for-all-will-save-2-trillion/?noredirect=on
[1] https://askepticalhuman.com/politics/2019/10/22/debunking-medicare-for-all-is-unaffordable-amp-refuting-the-mercatus-study
[1] https://twitter.com/i/web/status/1187759781219581952
[1] https://www.mercatus.org/publications/government-spending/costs-national-single-payer-healthcare-system?utm_source=bridge&utm_medium=bridgepost&utm_campaign=medicareforall

Top URLs in Tweet in G4:
[11] https://www.peoplespolicyproject.org/2018/07/30/mercatus-study-finds-medicare-for-all-saves-2-trillion/
[5] https://www.mercatus.org/system/files/blahous-costs-medicare-mercatus-working-paper-v1_1.pdf
[1] https://twitter.com/i/web/status/1189305419291922432
[1] https://twitter.com/i/web/status/1189306294651498498
[1] https://www.alternet.org/2018/05/meet-economist-behind-one-percents-stealth-takeover-america/
[1] https://twitter.com/i/web/status/1190332154028470273
[1] https://twitter.com/i/web/status/1190222008644243461
[1] https://www.cbo.gov/system/files/2019-05/55150-singlepayer.pdf
[1] https://www.crfb.org/blogs/how-much-will-medicare-all-cost
[1] https://www.nytimes.com/interactive/2019/04/10/upshot/medicare-for-all-bernie-sanders-cost-estimates.html

Top URLs in Tweet in G5:
[3] https://www.realclearpolitics.com/video/2019/04/10/bernie_sanders_on_medicare_for_all_health_care_is_a_human_right.html
[2] https://www.peoplespolicyproject.org/2018/08/13/the-mercatus-medicare-for-all-report-in-one-graph/
[1] https://ir.shareaholic.com/e?a=1&u=https://www.commondreams.org/news/2018/07/31/bernie-sanders-thanks-koch-brothers-accidentally-making-case-medicare-all%3Futm_campaign%3Dshareaholic%26utm_medium%3Dreferral%26utm_source%3Dtwitter&r=1
[1] https://www.peoplespolicyproject.org/2018/07/30/mercatus-study-finds-medicare-for-all-saves-2-trillion/
[1] https://twitter.com/i/web/status/1189613921658818560
[1] https://twitter.com/i/web/status/1189596550600769536

Top URLs in Tweet in G6:
[1] https://twitter.com/i/web/status/1188213133220827136
[1] https://www.peoplespolicyproject.org/2018/08/07/3p-gives-glenn-kessler-20-pinocchios-for-3-factual-mistakes/
[1] https://twitter.com/i/web/status/1189066647019106304
[1] https://jacobinmag.com/2018/07/medicare-for-all-mercatus-center-report
[1] https://twitter.com/i/web/status/1189535902357426177
[1] https://twitter.com/i/web/status/1190476257588371456
[1] https://twitter.com/i/web/status/1189542402643677185
[1] https://www.mercatus.org/system/files/dourado-airport-noise-mop-v1.pdf
[1] https://jamanetwork.com/journals/jama/article-abstract/2752664
[1] https://twitter.com/i/web/status/1187767831686832128

Top URLs in Tweet in G7:
[2] https://www.mercatus.org/publications/financial-markets/policymakers-should-reevaluate-premises-led-overhaul-regulation-z
[2] https://www.mercatus.org/publications/monetary-policy/housing-was-undersupplied-during-great-housing-bubble
[1] https://www.mercatus.org/bridge/commentary/real-estate-investment-doesnt-increase-spending
[1] https://www.mercatus.org/bridge/commentary/tight-lending-regulations-are-wealth-subsidy
[1] https://twitter.com/i/web/status/1187732320335216641
[1] https://twitter.com/i/web/status/1187924590514696192
[1] https://www.mercatus.org/bridge/commentary/what-are-homeownership-rates-telling-us
[1] https://www.mercatus.org/bridge/commentary/rising-prices-lower-rents-rising-rents-rising-prices
[1] https://twitter.com/i/web/status/1188918551568113664
[1] https://www.mercatus.org/bridge/commentary/two-plus-two-four-connect-dots

Top URLs in Tweet in G9:
[8] https://www.theatlantic.com/politics/archive/2019/11/warren-medicare-all-taxes/601315/
[2] https://economics21.org/warren-plan-paper-over-medicare-for-all-costs
[1] https://www.washingtonpost.com/news/fact-checker/wp/2018/08/07/democrats-seize-on-cherry-picked-claim-that-medicare-for-all-will-save-2-trillion/
[1] https://twitter.com/TeamJoe/status/1191120115762388993
[1] https://twitter.com/i/web/status/1189355022636728320
[1] https://www.peoplespolicyproject.org/2018/08/13/the-mercatus-medicare-for-all-report-in-one-graph/
[1] https://www.mercatus.org/system/files/blahous-costs-medicare-mercatus-working-paper-v1_1.pdf#page=7
[1] https://twitter.com/i/web/status/1190236739882946560
[1] https://twitter.com/i/web/status/1190030908201611269
[1] https://www.mercatus.org/system/files/blahous-costs-medicare-mercatus-working-paper-v1_1.pdf

Top URLs in Tweet in G10:
[12] https://www.mercatus.org/publications/government-spending/costs-national-single-payer-healthcare-system
[1] https://www.politifact.com/truth-o-meter/statements/2018/aug/03/bernie-sanders/did-conservative-study-show-big-savings-bernie-san/
[1] https://twitter.com/i/web/status/1190100744348864512
[1] https://twitter.com/i/web/status/1190102037767360512
[1] https://twitter.com/i/web/status/1190099969430175744
[1] https://twitter.com/i/web/status/1190205242857738240
[1] https://twitter.com/i/web/status/1190204946437812225
[1] https://twitter.com/i/web/status/1190206443208806401
[1] https://twitter.com/i/web/status/1190207034316247040
[1] https://twitter.com/i/web/status/1190238233176752129

Top Domains
Top Domains in Tweet in Entire Graph:
[275] mercatus.org
[184] twitter.com
[36] peoplespolicyproject.org
[9] theatlantic.com
[8] jacobinmag.com
[8] thehill.com
[5] economicblogs.org
[5] economics21.org
[4] medium.com
[4] businessinsider.com

Top Domains in Tweet in G1:
[113] mercatus.org
[42] twitter.com
[8] thehill.com
[4] creators.com
[4] washingtonexaminer.com
[4] medium.com
[3] nydailynews.com
[3] economics21.org
[3] realclearpolicy.com
[2] insidesources.com

Top Domains in Tweet in G2:
[45] mercatus.org
[32] twitter.com
[5] economicblogs.org
[3] pessnet.com
[3] businesswire.com
[2] peoplespolicyproject.org
[1] prospect.org
[1] drimble.nl
[1] nucleusresearch.com
[1] denoordoostpolder.nl

Top Domains in Tweet in G3:
[13] twitter.com
[9] mercatus.org
[4] peoplespolicyproject.org
[3] businessinsider.com
[1] thenation.com
[1] go.com
[1] dcreport.org
[1] washingtonpost.com
[1] askepticalhuman.com
[1] thinkprogress.org

Top Domains in Tweet in G4:
[11] peoplespolicyproject.org
[7] twitter.com
[5] mercatus.org
[1] alternet.org
[1] cbo.gov
[1] crfb.org
[1] nytimes.com
[1] factcheck.org

Top Domains in Tweet in G5:
[3] peoplespolicyproject.org
[3] realclearpolitics.com
[2] twitter.com
[1] shareaholic.com

Top Domains in Tweet in G6:
[14] twitter.com
[2] peoplespolicyproject.org
[1] jacobinmag.com
[1] mercatus.org
[1] jamanetwork.com

Top Domains in Tweet in G7:
[14] mercatus.org
[6] twitter.com
[2] themoneyillusion.com
[1] econlib.org

Top Domains in Tweet in G9:
[8] theatlantic.com
[4] twitter.com
[2] economics21.org
[2] mercatus.org
[1] washingtonpost.com
[1] peoplespolicyproject.org

Top Domains in Tweet in G10:
[14] mercatus.org
[12] twitter.com
[1] politifact.com
[1] peoplespolicyproject.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[35] mercatus
[27] medicareforall
[21] smith
[17] econoween
[17] hayek
[17] buchanan
[16] coase
[16] north
[7] askmeanything
[6] m4a



Top Hashtags in Tweet in G1:
[27] mercatus
[13] econoween
[5] smith
[3] macromusings
[3] hayek
[3] buchanan
[3] coase
[3] north
[3] nationalcatday
[2] trade

Top Hashtags in Tweet in G2:
[6] mercatus
[2] econoween
[1] actualfactual
[1] medicareforall
[1] wholewashington
[1] huurdersparticipatie
[1] nagele
[1] agpomania
[1] sketchapp
[1] uxdesign

Top Hashtags in Tweet in G3:
[1] blahous
[1] koch
[1] mercatus
[1] medicareforall

Top Hashtags in Tweet in G4:
[16] medicareforall
[5] singlepayer
[4] neveryang
[3] medicare4all
[1] nomiddleground
[1] medicareforallact

Top Hashtags in Tweet in G5:
[4] medicareforall
[3] healthcareisahumanright
[2] notmeus
[1] bernie2020
[1] nomiddleground
[1] democraticsocialism
[1] forprofithealthcareisimmoral

Top Hashtags in Tweet in G9:
[1] m4a

Top Words
Top Words in Tweet in Entire Graph:
[671] Words in Sentiment List#1: Positive
[560] Words in Sentiment List#2: Negative
[1] Words in Sentiment List#3: Angry/Violent
[22806] Non-categorized Words
[24037] Total Words
[503] mercatus
[160] study
[116] s
[102] center
[90] medicare

Top Words in Tweet in G1:
[210] mercatus
[54] new
[45] s
[42] latest
[37] many
[29] policy
[29] adamthierer
[28] now
[28] principle
[27] precautionary

Top Words in Tweet in G2:
[46] mercatus
[20] center
[12] study
[11] trillion
[11] new
[11] s
[9] medicare
[8] states
[8] out
[8] smart

Top Words in Tweet in G3:
[22] berniesanders
[22] mercatus
[21] study
[14] ewarren
[11] trillion
[8] system
[7] medicare
[7] cost
[7] m4a
[6] up

Top Words in Tweet in G4:
[33] study
[18] aoc
[16] #medicareforall
[11] mercatus
[11] want
[11] walkerbragman
[9] less
[8] costs
[8] system
[8] save

Top Words in Tweet in G5:
[54] npr
[32] already
[32] medicare
[31] pay
[28] scapelliti
[25] titonka
[23] seriously
[23] know
[23] research
[23] anything

Top Words in Tweet in G6:
[25] mercatus
[10] jhweissmann
[7] study
[7] spending
[7] m4a
[6] health
[6] savings
[5] total
[5] cost
[5] assumptions

Top Words in Tweet in G7:
[22] here
[18] kaerdmann
[18] housing
[16] post
[15] homeownership
[15] haven't
[14] mercatus
[14] looking
[14] trends
[14] age

Top Words in Tweet in G8:
[16] tentoads4truth
[15] charles
[13] union
[13] koch
[12] institute
[12] foundation
[9] center
[8] listed
[8] having
[8] received

Top Words in Tweet in G9:
[33] mercatus
[25] thirdwaykessler
[23] topherspiro
[22] jrubinblogger
[10] more
[10] plan
[9] healthcare
[9] experts
[8] medicare
[8] urban

Top Words in Tweet in G10:
[12] director
[7] study
[7] koch
[6] federal
[6] hiring
[6] s
[6] irrelevant
[6] bolema
[6] spent
[6] five

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[93] mercatus,center
[50] mercatus,study
[39] precautionary,principle
[29] many,lives
[29] latest,mercatus
[27] lives,lost
[27] lost,due
[27] due,precautionary
[24] thirdwaykessler,mercatus
[24] know,research

Top Word Pairs in Tweet in G1:
[28] latest,mercatus
[27] precautionary,principle
[27] many,lives
[25] lives,lost
[25] lost,due
[25] due,precautionary
[19] principle,question
[19] question,examine
[19] examine,latest
[18] adamthierer,many

Top Word Pairs in Tweet in G2:
[19] mercatus,center
[6] george,mason
[6] mason,university
[5] 2,trillion
[5] smart,final
[5] final,selects
[5] selects,mercatus
[5] mercatus,platform
[5] platform,power
[5] power,new

Top Word Pairs in Tweet in G3:
[9] mercatus,study
[8] ewarren,berniesanders
[6] current,system
[5] mikeandersonsr,ewarren
[4] debunking,medicare
[4] medicare,unaffordable
[4] unaffordable,refuting
[4] refuting,mercatus
[4] study,watch
[4] watch,full

Top Word Pairs in Tweet in G4:
[8] study,study
[8] walkerbragman,aoc
[7] study,shows
[6] #medicareforall,costs
[6] costs,less
[6] majority,americans
[6] americans,want
[6] want,#medicareforall
[6] #medicareforall,study
[6] indigotheartist,walkerbragman

Top Word Pairs in Tweet in G5:
[23] npr,already
[23] already,pay
[23] pay,medicare
[23] medicare,seriously
[23] seriously,npr
[23] npr,titonka
[23] titonka,know
[23] know,research
[23] research,anything
[22] scapelliti,npr

Top Word Pairs in Tweet in G6:
[5] mercatus,study
[4] jhweissmann,scottelliotg
[3] interesting,paper
[3] paper,m4a
[3] m4a,date
[3] date,mercatus
[3] mercatus,saying
[3] saying,assumptions
[3] assumptions,reduce
[3] reduce,overall

Top Word Pairs in Tweet in G7:
[14] here,post
[14] post,looking
[14] looking,trends
[14] trends,homeownership
[14] homeownership,age
[14] age,groups
[14] groups,hit
[14] hit,housing
[14] housing,bust
[14] bust,haven't

Top Word Pairs in Tweet in G8:
[11] charles,koch
[8] listed,having
[8] having,received
[8] received,substantial
[8] substantial,google
[8] google,grant
[8] grant,first
[8] first,time
[8] time,american
[8] american,conservative

Top Word Pairs in Tweet in G9:
[23] thirdwaykessler,mercatus
[13] topherspiro,thirdwaykessler
[11] jrubinblogger,topherspiro
[8] mercatus,more
[8] more,healthcare
[8] healthcare,experts
[8] experts,plan
[7] jrubinblogger,thirdwaykessler
[5] topherspiro,jrubinblogger
[4] mercatus,urban

Top Word Pairs in Tweet in G10:
[6] koch,hiring
[6] hiring,s
[6] s,irrelevant
[6] irrelevant,director
[6] director,bolema
[6] bolema,spent
[6] spent,five
[6] five,years
[6] years,director
[5] words_matter18,koch

Top Replied-To
Top Replied-To in Entire Graph:
@mercatus
@jrubinblogger
@theipa
@thirdwaykessler
@jhweissmann
@rooster0620
@kaerdmann
@topherspiro
@harpua71
@ernietedeschi

Top Replied-To in G1:
@mercatus
@theipa
@scottlincicome
@adamthierer
@markszuch
@kristaachavez
@veroderugy
@mangolshistory
@calebwatney
@neil_chilson

Top Replied-To in G3:
@friendsofjimmys
@lingafelterkent
@bejamesmadison1
@besttrousers
@omahavike
@conservativez12
@lsthart
@ryangrim
@jose91598585
@xavierzelf

Top Replied-To in G4:
@rooster0620
@karlmar05384385
@marial1475
@walkerbragman
@val_04
@anonymo34878373
@woobietuesday
@jrubinblogger
@leagueofcities
@tallone12126561

Top Replied-To in G5:
@npr
@drdooleymd
@washingtonpost
@profswagner
@benwoerner

Top Replied-To in G6:
@jhweissmann
@snyde043
@econwonk
@lorenadler
@mattbruenig
@joshuamound
@thirdwaykessler
@littlecrumb4
@imnotowned
@ooolson

Top Replied-To in G7:
@kaerdmann
@ernietedeschi
@econtalker
@mercatus
@modeledbehavior
@j_rthewriter
@ltamaye
@monetarywonk
@deanbaker13
@phdlamentations

Top Replied-To in G8:
@jonathanbuckn13

Top Replied-To in G9:
@jrubinblogger
@thirdwaykessler
@topherspiro
@brady_butler
@mohamedfmustafa
@mlottawa342
@samsharf2
@rogermarshallmd

Top Replied-To in G10:
@bobdylandude
@aecho13
@demgovs
@bthezebra
@pauldecristofo4
@kanekis54664250
@shrewst
@leaflee11
@willyloo1234
@davey914

Top Mentioned
Top Mentioned in Entire Graph:
@mercatus
@hayekprogram
@berniesanders
@npr
@scapelliti
@adamthierer
@titonka
@paulkleinmann
@aoc
@dalek_fan

Top Mentioned in G1:
@mercatus
@adamthierer
@vincentgeloso
@bskorup
@david_s_wilson
@jamesbroughel
@hayekprogram
@c_w_myers
@danielgriswold

Top Mentioned in G2:
@aftvitaliy
@oktobesad

Top Mentioned in G3:
@berniesanders
@ewarren
@mikeandersonsr
@michaelbennet
@askepticalhuman
@davidarlington1
@daniellamicaela
@esaagar
@nikorasu85
@shvintage

Top Mentioned in G4:
@aoc
@walkerbragman
@indigotheartist
@berniesanders
@daniel_norcal
@cdbrzezinski
@woobietuesday
@adamkelsey
@drjeancastelli
@thehill

Top Mentioned in G5:
@npr
@scapelliti
@titonka
@mollyhc
@organizingpower
@washingtonpost
@callforcongress
@berniesanders
@dcfairbank
@drdooleymd

Top Mentioned in G6:
@jhweissmann
@scottelliotg
@mattbruenig
@spittingback
@averagejer
@imnotowned
@rortybomb
@jnicholsonindc
@joshbuermann
@tipsy_dixit

Top Mentioned in G7:
@kaerdmann
@mercatus
@joshuatmccabe
@juliusprobst
@mike_sandifer
@econtalker
@swinshi
@monetarywonk
@modeledbehavior
@capablanca_92

Top Mentioned in G8:
@tentoads4truth
@merrydw54
@lovetogive2
@exposingalec
@aplebeianlife
@barbetta1
@ruetheday852
@eugjhawk
@aa_tweeter
@words_matter18

Top Mentioned in G9:
@mercatus
@thirdwaykessler
@topherspiro
@jrubinblogger
@johnjharwood
@bstnboy
@chrisdjackson
@ryanlizza
@brian_riedl
@dcherring

Top Mentioned in G10:
@words_matter18
@2020svp4b
@bern_identity
@aoc
@dnc
@cheryllill
@joebiden
@jvgraz
@gop
@andybeshearky

Top Tweeters
Top Tweeters in Entire Graph:
@thehill
@lovetogive2
@senseof_outrage
@ricardocases1
@business
@jjj5819
@frances_coppola
@dalek_fan
@aziegler
@planetscape

Top Tweeters in G1:
@friedrichhayek
@wsj
@jennykim
@scottlincicome
@lldzne
@jimrose69872629
@terib3294
@joffa63john
@smartecocity
@biorealism

Top Tweeters in G2:
@jessintexas1
@cbeelman
@globaldefence
@deceitindrugs
@costrike
@welly_world
@_urk_nopolder
@aftvitaliy
@deshellenberger
@picante_media

Top Tweeters in G3:
@sallyalbright
@mikeandersonsr
@emmasegasture
@lsthart
@solosportscomms
@bluesteeldc
@cookmichaelv13
@realtimblack
@friendsofjimmys
@berningman16

Top Tweeters in G4:
@thehill
@cnn
@woobietuesday
@abhinary
@fmalchemist
@hoarsewisperer
@jmotley9
@ezinger44
@texxxmancosplay
@cdbrzezinski

Top Tweeters in G5:
@senseof_outrage
@washingtonpost
@solon594bce
@portiaaboulger
@agski48
@npr
@travisruger
@3ty3
@dcfairbank
@scapelliti

Top Tweeters in G6:
@patrick_fenelon
@zaidjilani
@snyde043
@imnotowned
@coastalelite28
@ddayen
@theprospect
@averagejer
@luciomm1
@krossny1

Top Tweeters in G7:
@frances_coppola
@bartandrews
@old_dirty_hate_
@epicciuto
@kkearns
@modeledbehavior
@ernietedeschi
@_katiesaurus_
@opinion_left
@deanbaker13

Top Tweeters in G8:
@lovetogive2
@jjj5819
@aziegler
@planetscape
@hollaka_hollala
@aplebeianlife
@cruellaisdevine
@knowledge2seek
@norberta36
@bellatrixx2020

Top Tweeters in G9:
@slak909
@savetheturtles2
@____taty
@cmargaronis
@mslindanash
@dcherring
@accountistlisa
@bstnboy
@johnjharwood
@lcaliforinquena

Top Tweeters in G10:
@uspatriotdude90
@seacretsoc1
@jvgraz
@pausenet
@pauldecristofo4
@2006ta
@shrewst
@cheryllill
@soulcage1954
@gop


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