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#CDC_2020-02-13_07-07-55.xlsx (experimental version)
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From:
NodeXLExcelAutomator
Uploaded on:
February 14, 2020
Short Description:
#CDC via NodeXL http://bit.ly/2SDxoOs
@corona_beerus
@cdcgov
@zeusfanhouse
@livecrisisnews
@himalayaglobal
@gordongchang
@calitrumplady
@lotusoak2
@ladyredwave
@donnayoungdc

Top hashtags:
#cdc
#coronavirus
#china
#wuhan
#who
#trump
#confirms
#breaking

Description:
Description
The graph represents a network of 4,411 Twitter users whose tweets in the requested range contained "#CDC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 13 February 2020 at 15:09 UTC.

The requested start date was Wednesday, 12 February 2020 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 5-day, 7-hour, 53-minute period from Thursday, 06 February 2020 at 17:00 UTC to Wednesday, 12 February 2020 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 : 4411
Unique Edges : 4988
Edges With Duplicates : 1374
Total Edges : 6362
Number of Edge Types : 4
MentionsInRetweet : 4076
Replies to : 316
Mentions : 784
Tweet : 1186
Self-Loops : 1186
Reciprocated Vertex Pair Ratio : 0.00645438898450947
Reciprocated Edge Ratio : 0.0128259940145361
Connected Components : 689
Single-Vertex Connected Components : 386
Maximum Vertices in a Connected Component : 2729
Maximum Edges in a Connected Component : 4203
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.643444
Graph Density : 0.000240483104751006
Modularity : 0.737386
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 4,411 Twitter users whose tweets in the requested range contained "#CDC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 13 February 2020 at 15:09 UTC.

The requested start date was Wednesday, 12 February 2020 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 5-day, 7-hour, 53-minute period from Thursday, 06 February 2020 at 17:00 UTC to Wednesday, 12 February 2020 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 : #CDC
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 Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[94] https://www.google.com/search?tbo=p&tbm=pts&hl=en&q=vaccine+inassignee:centers+inassignee:for+inassignee:disease+inassignee:control&tbs=,ptss:g&num=100
[93] https://petitions.whitehouse.gov/petition/petition-cdcs-support-battle-against-2019-ncov-outbreak-hong-kong
[23] https://www.youtube.com/watch?v=5CfLDXpC324&feature=youtu.be

[15] https://07e9cyogqc6sghg918leobka8m.hop.clickbank.net/
[14] https://www.medpagetoday.com/publichealthpolicy/healthpolicy/84813
[14] https://journals.sagepub.com/doi/full/10.1177/0141076819899308?fbclid=IwAR1IRVHZLrZnMPpK3E3ldDpYgN-e9H6oEKCVYNnmPO7w4Y-kK-SZsZPR19o&cookieSet=1
[10] https://www.techrepublic.com/article/hackers-imitating-cdc-who-with-coronavirus-phishing-emails/
[9] https://americanindependent.com/donald-trump-coronavirus-world-health-budget-cuts-cdc-china/?utm_source=dlvr.it&utm_medium=twitter
[9] https://vactruth.com/2015/07/05/cdc-made-polio-disappear/
[8] https://www.cdc.gov/coronavirus/2019-ncov/cases-in-us.html

Top URLs in Tweet in G1:
[3] https://www.prevention.com/health/a24217373/how-to-wash-your-hands/?utm_medium=Social&utm_source=Unknown&utm_campaign=Leadify
[2] https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
[2] https://www.techrepublic.com/article/hackers-imitating-cdc-who-with-coronavirus-phishing-emails/
[2] https://www.nytimes.com/2020/02/07/health/cdc-coronavirus-china.html
[2] https://www.asap.org.in/blog18/
[2] https://www.youtube.com/watch?v=5CfLDXpC324&feature=youtu.be

[2] https://www.linkedin.com/content-guest/article/somethings-right-here-folks-look-usa-2009-h1n1-virus-compared-cavolo
[2] https://vapingdaily.com/blog/cdc-nicotine-vaping-warnings/
[2] https://petitions.whitehouse.gov/petition/petition-cdcs-support-battle-against-2019-ncov-outbreak-hong-kong
[2] https://www.cdc.gov/flu/weekly/index.htm#ILIActivityMap

Top URLs in Tweet in G2:
[4] https://physiciansforinformedconsent.org/mmr-waning-immunity/
[3] https://www.youtube.com/watch?v=2b0QVmYYAOo&feature=youtu.be

[3] https://www.cdc.gov/coronavirus/2019-ncov/cases-in-us.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/faq.html
[2] https://twitter.com/2019ncovn/status/1226818621168586752
[2] https://www.cdc.gov/coronavirus/2019-nCoV/index.html
[2] https://www.snapwire.com/news/governments-spooking-us-coronavirus
[2] http://msnbc.nbcnews.com
[1] https://www.cdc.gov/coronavirus/2019-ncov/about/index.html
[1] https://twitter.com/i/web/status/1226575810573803520

Top URLs in Tweet in G3:
[1] https://twitter.com/i/web/status/1226283574166421504
[1] https://www.infowars.com/study-of-coronavirus-victims-finds-96-identical-genome-level-to-a-bat-coronavirus/
[1] https://www.infowars.com/msm-tries-to-suppress-evidence-that-hiv-delivery-system-is-embedded-in-coronavirus/
[1] https://www.cnbc.com/2020/02/11/coronavirus-latest-updates.html?__source=iosappshare%7Ccom.apple.UIKit.activity.PostToTwitter
[1] https://twitter.com/i/web/status/1226262664948703232
[1] https://twitter.com/i/web/status/1226217135229349888
[1] https://twitter.com/i/web/status/1226216823722586112
[1] https://twitter.com/i/web/status/1226322079173226497
[1] https://twitter.com/i/web/status/1225854834823368704

Top URLs in Tweet in G4:
[2] https://www.ccn.com/dow-sways-after-cdc-admits-official-coronavirus-stats-arent-accurate/
[2] https://pissinontheroses.blogspot.com/2016/08/cdc-gives-itself-power-to-indefinitely.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/cases-in-us.html
[1] https://twitter.com/i/web/status/1227277286149246978
[1] https://twitter.com/i/web/status/1227040557446369281
[1] https://twitter.com/i/web/status/1227347343055286272
[1] https://twitter.com/i/web/status/1226352355848773633
[1] https://twitter.com/2Runrunblue/status/1226935619160432640
[1] https://twitter.com/coriiiiiiiiiii1/status/1226656270989561856
[1] https://twitter.com/i/web/status/1227315375496482820

Top URLs in Tweet in G5:
[1] https://twitter.com/i/web/status/1226362856683266049
[1] https://twitter.com/i/web/status/1226324888807526400
[1] https://www.wivb.com/news/health-news/cdc-on-coronavirus-you-dont-need-a-facemask-in-us/
[1] https://twitter.com/i/web/status/1226248396501065733
[1] https://www.nytimes.com/2020/02/07/health/cdc-coronavirus-china.html?referringSource=articleShare
[1] https://1010wins.radio.com/articles/royal-caribbean-may-delay-cruise-after-coronavirus-scare

Top URLs in Tweet in G6:
[1] https://twitter.com/i/web/status/1226199700426018816

Top URLs in Tweet in G7:
[2] https://petitions.whitehouse.gov/petition/petition-cdcs-support-battle-against-2019-ncov-outbreak-hong-kong
[1] https://twitter.com/i/web/status/1226057766239760385
[1] https://twitter.com/i/web/status/1224573571663446016
[1] https://twitter.com/i/web/status/1226490656513806339
[1] https://twitter.com/i/web/status/1227312826919858180
[1] https://twitter.com/i/web/status/1226049127194120193
[1] https://twitter.com/i/web/status/1226236642551377921
[1] https://twitter.com/i/web/status/1226141618970845190
[1] https://twitter.com/i/web/status/1226140982954971136

Top URLs in Tweet in G8:
[92] https://www.google.com/search?tbo=p&tbm=pts&hl=en&q=vaccine+inassignee:centers+inassignee:for+inassignee:disease+inassignee:control&tbs=,ptss:g&num=100
[9] https://vactruth.com/2015/07/05/cdc-made-polio-disappear/
[5] https://www.icandecide.org/wp-content/uploads/2019/08/VaccineSafety-Version-1.0-October-2-2017-1.pdf
[1] https://twitter.com/i/web/status/1225263325153505280
[1] https://thefedupdemocrat.home.blog/2019/09/03/ny-measles-outbreak-hoax/
[1] http://www.cdc.gov/media/releases/2016/s0622-laiv-flu.html
[1] https://twitter.com/i/web/status/1224289938147069952
[1] https://twitter.com/i/web/status/1226646545228939265
[1] https://twitter.com/i/web/status/1225998059785474048
[1] https://twitter.com/i/web/status/1226153920935923714

Top URLs in Tweet in G9:
[1] https://twitter.com/i/web/status/1226590082007650304
[1] https://www.google.com/search?tbo=p&tbm=pts&hl=en&q=vaccine+inassignee:centers+inassignee:for+inassignee:disease+inassignee:control&tbs=,ptss:g&num=100

Top URLs in Tweet in G10:
[1] https://twitter.com/i/web/status/1227248178359087105

Top Domains
Top Domains in Tweet in Entire Graph:
[966] twitter.com
[95] google.com
[95] whitehouse.gov
[84] cdc.gov
[81] youtube.com
[15] medpagetoday.com
[15] co.uk
[15] clickbank.net
[14] linkedin.com
[14] sagepub.com

Top Domains in Tweet in G1:
[302] twitter.com
[23] cdc.gov
[9] instagram.com
[9] youtube.com
[8] linkedin.com
[6] nytimes.com
[5] hubinternational.com
[4] co.uk
[4] blogspot.com
[4] oddcrimes.com

Top Domains in Tweet in G2:
[153] twitter.com
[24] cdc.gov
[9] youtube.com
[4] physiciansforinformedconsent.org
[3] idse.net
[2] youtu.be
[2] snapwire.com
[2] nbcnews.com
[1] cnn.com
[1] brighteon.com

Top Domains in Tweet in G3:
[6] twitter.com
[2] infowars.com
[1] cnbc.com

Top Domains in Tweet in G4:
[16] twitter.com
[2] ccn.com
[2] blogspot.com
[2] youtube.com
[2] cdc.gov
[1] nbcsandiego.com
[1] yahoo.com
[1] zerohedge.com

Top Domains in Tweet in G5:
[3] twitter.com
[1] wivb.com
[1] nytimes.com
[1] radio.com

Top Domains in Tweet in G6:
[1] twitter.com

Top Domains in Tweet in G7:
[8] twitter.com
[2] whitehouse.gov

Top Domains in Tweet in G8:
[92] google.com
[9] vactruth.com
[5] twitter.com
[5] icandecide.org
[1] home.blog
[1] cdc.gov

Top Domains in Tweet in G9:
[1] twitter.com
[1] google.com

Top Domains in Tweet in G10:
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2508] cdc
[1783] coronavirus
[947] china
[451] wuhan
[399] who
[256] trump
[230] confirms
[207] breaking
[205] coronavirusoutbreak
[199] 2019ncov



Top Hashtags in Tweet in G1:
[457] cdc
[213] coronavirus
[115] who
[51] 2019ncov
[51] maga
[50] cdc7words
[50] bannedwords
[50] orwell
[50] doubleplusgoodspeak
[50] trumphasdementia

Top Hashtags in Tweet in G2:
[275] cdc
[253] coronavirus
[127] wuhanpneumonia
[125] wuhanlockdown
[123] wuflu
[121] china
[113] wuhancoronavirus
[110] coronaoutbreak
[87] wuhanflu
[35] wuhan

Top Hashtags in Tweet in G3:
[214] china
[212] coronavirus
[210] trump
[206] confirms
[14] cdc
[10] msm
[10] suppress
[7] who
[6] swineflu
[6] pandemic

Top Hashtags in Tweet in G4:
[48] coronavirus
[35] cdc
[18] who
[13] china
[11] wuhan
[9] 2019ncov
[8] coronavirusoutbreak
[7] ncov
[6] swineflu
[6] coronaviruscanada

Top Hashtags in Tweet in G5:
[136] wuhan
[104] video
[70] breaking
[52] coronavirus
[47] coronavirusoutbreak
[27] image
[9] cdc
[6] ncov19
[3] china
[2] coronaviruschina

Top Hashtags in Tweet in G6:
[168] chicoms
[12] coronavirus
[11] trump
[11] china
[11] confirms
[1] image
[1] coronavirusoutbreak
[1] wuhan

Top Hashtags in Tweet in G7:
[176] cdc
[112] coronavirus
[58] wuhancoronovirus
[11] coronavirusoutbreak
[3] wuhan
[3] wuhannovelcoronavirus
[3] ncp
[3] hkbnews
[2] 聯署
[2] 武漢肺炎

Top Hashtags in Tweet in G8:
[112] cdc
[99] vaccine
[92] didyouknow
[52] newyork
[9] polio
[5] vaxxed
[5] safety
[5] learntherisk
[4] vaccines
[3] prop

Top Hashtags in Tweet in G9:
[146] china
[146] coronavirus
[143] stevebannon
[3] trump
[3] confirms
[1] didyouknow
[1] vaccine
[1] cdc
[1] newyork
[1] chicoms

Top Hashtags in Tweet in G10:
[10] coronavirus
[10] china
[8] trump
[8] confirms
[3] chicoms
[1] msm
[1] suppress
[1] cdc
[1] stevebannon

Top Words
Top Words in Tweet in Entire Graph:
[1842] Words in Sentiment List#1: Positive
[4355] Words in Sentiment List#2: Negative
[23] Words in Sentiment List#3: Angry/Violent
[92188] Non-categorized Words
[98401] Total Words
[2478] #cdc
[1892] #coronavirus
[945] #china
[670] coronavirus
[467] china

Top Words in Tweet in G1:
[456] #cdc
[213] #coronavirus
[115] #who
[96] coronavirus
[51] #2019ncov
[51] #maga
[50] #cdc7words
[50] #bannedwords
[50] #orwell
[50] #doubleplusgoodspeak

Top Words in Tweet in G2:
[275] #cdc
[256] #coronavirus
[150] cdcgov
[127] #wuhanpneumonia
[125] #wuhanlockdown
[123] #wuflu
[121] #china
[113] #wuhancoronavirus
[110] #coronaoutbreak
[87] #wuhanflu

Top Words in Tweet in G3:
[215] zeusfanhouse
[214] #china
[212] #coronavirus
[210] #trump
[207] calls
[206] breaking
[206] investigation
[206] origin
[206] #confirms
[206] 15

Top Words in Tweet in G4:
[339] official
[201] cdc
[190] corona_beerus
[170] numbers
[170] accurate
[168] answering
[168] question
[168] whether
[168] press
[168] conference

Top Words in Tweet in G5:
[208] body
[195] china
[192] livecrisisnews
[149] #coronavirus
[136] #wuhan
[132] coronavirus
[104] #video
[104] medics
[104] hauling
[104] death

Top Words in Tweet in G6:
[168] nightmare
[168] #chicoms
[168] 100
[168] blame
[168] badly
[168] spread
[168] take
[168] proper
[167] calitrumplady
[167] precautions

Top Words in Tweet in G7:
[198] patient
[176] #cdc
[157] infected
[157] officers
[155] himalayaglobal
[116] more
[114] #coronavirus
[99] another
[99] forced
[99] isolation

Top Words in Tweet in G8:
[153] lotusoak2
[111] #cdc
[99] #vaccine
[92] #didyouknow
[92] 50
[92] granted
[92] patents
[92] listed
[92] assignee
[91] huge

Top Words in Tweet in G9:
[146] #china
[146] #coronavirus
[143] watch
[143] #stevebannon
[143] biblical
[143] scale
[143] re
[143] biological
[143] chernobyl
[142] ladyredwave

Top Words in Tweet in G10:
[129] spread
[127] coronavirus
[126] usf
[126] professor
[126] fairly
[126] easy
[126] fix
[126] control
[126] information
[126] seem

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[233] death,rate
[230] breaking,#trump
[230] #trump,calls
[230] calls,investigation
[230] investigation,#coronavirus
[230] #coronavirus,origin
[230] origin,#china
[230] #china,#confirms
[230] #confirms,15
[230] 15,death

Top Word Pairs in Tweet in G1:
[52] #who,#cdc
[50] #cdc,#cdc7words
[50] #cdc7words,#bannedwords
[50] #bannedwords,#orwell
[50] #orwell,#doubleplusgoodspeak
[50] #doubleplusgoodspeak,#maga
[50] #maga,#trumphasdementia
[33] #cdc,#who
[33] #coronavirus,#2019ncov
[33] #2019ncov,#who

Top Word Pairs in Tweet in G2:
[122] #wuflu,#wuhanpneumonia
[120] #wuhanpneumonia,#wuhanlockdown
[111] #wuhanlockdown,#wuhancoronavirus
[110] #wuhancoronavirus,#coronaoutbreak
[95] #coronaoutbreak,#coronavirus
[88] #china,#cdc
[87] #coronavirus,#wuhanflu
[83] #wuhanflu,#china
[70] #cdc,lookner
[38] delacruztine,#wuflu

Top Word Pairs in Tweet in G3:
[206] breaking,#trump
[206] #trump,calls
[206] calls,investigation
[206] investigation,#coronavirus
[206] #coronavirus,origin
[206] origin,#china
[206] #china,#confirms
[206] #confirms,15
[206] 15,death
[206] death,rate

Top Word Pairs in Tweet in G4:
[169] official,numbers
[168] cdc,official
[168] official,answering
[168] answering,question
[168] question,whether
[168] whether,official
[168] numbers,accurate
[168] accurate,press
[168] press,conference
[167] corona_beerus,cdc

Top Word Pairs in Tweet in G5:
[104] #video,medics
[104] medics,#wuhan
[104] #wuhan,china
[104] china,hauling
[104] hauling,body
[104] body,body
[104] body,coronavirus
[104] coronavirus,death
[104] death,toll
[104] toll,rises

Top Word Pairs in Tweet in G6:
[168] nightmare,#chicoms
[168] #chicoms,100
[168] 100,blame
[168] blame,badly
[168] badly,spread
[168] spread,take
[168] take,proper
[167] calitrumplady,nightmare
[167] proper,precautions
[11] zeusfanhouse,breaking

Top Word Pairs in Tweet in G7:
[157] #cdc,officers
[99] another,forced
[99] forced,isolation
[99] isolation,infected
[99] infected,#coronavirus
[99] #coronavirus,patient
[99] patient,patient
[99] patient,rebuked
[99] rebuked,sharply
[99] sharply,#cdc

Top Word Pairs in Tweet in G8:
[92] #didyouknow,50
[92] 50,granted
[92] granted,#vaccine
[92] #vaccine,patents
[92] patents,#cdc
[92] #cdc,listed
[92] listed,assignee
[91] assignee,huge
[87] lotusoak2,#didyouknow
[54] lotusoak2,dr

Top Word Pairs in Tweet in G9:
[143] watch,#stevebannon
[143] #stevebannon,#china
[143] #china,biblical
[143] biblical,scale
[143] scale,re
[143] re,#coronavirus
[143] #coronavirus,biological
[143] biological,chernobyl
[142] ladyredwave,watch
[142] chernobyl,trump

Top Word Pairs in Tweet in G10:
[126] usf,professor
[126] professor,fairly
[126] fairly,easy
[126] easy,fix
[126] fix,control
[126] control,spread
[126] spread,coronavirus
[126] coronavirus,information
[126] information,seem
[125] wvufanagent99,usf

Top Replied-To
Top Replied-To in Entire Graph:
@helenbranswell
@cdcgov
@drtedros
@realdonaldtrump
@secazar
@njsendems
@drmikeryan
@sentedcruz
@reuters
@chrismurphyct

Top Replied-To in G2:
@cdcgov
@njsendems
@lindarchilders
@who
@govmurphy
@cdcdirector
@109qk
@jami_usa
@endgameww3
@stevescalisegop

Top Replied-To in G3:
@timkennedymma
@b52malmet

Top Replied-To in G4:
@corona_beerus
@s_rabinovitch
@k_wuttt

Top Replied-To in G7:
@drtedros
@mackayim
@nytimes

Top Replied-To in G8:
@cathy_kean

Top Mentioned
Top Mentioned in Entire Graph:
@zeusfanhouse
@livecrisisnews
@corona_beerus
@calitrumplady
@himalayaglobal
@lotusoak2
@cdcgov
@ladyredwave
@wvufanagent99
@gordongchang

Top Mentioned in G1:
@kingson_s_xylus
@newsalternative
@peoplesearches
@tomparkerltd

Top Mentioned in G2:
@cdcgov
@lookner
@delacruztine
@who
@njsendems
@aklock1978
@poisonedpshow
@whitehouse
@cdc
@laurie_garrett

Top Mentioned in G3:
@zeusfanhouse
@ozsultan
@cnbc
@dwaynem89009
@corona_beerus
@c_l_prevost

Top Mentioned in G4:
@corona_beerus
@alexxx1232013
@potrblog
@timcart26313608
@s5v5e
@ryanamaralpt
@andrej02295959
@k_wuttt
@coronavirus2019
@who

Top Mentioned in G5:
@livecrisisnews
@pandaheadcurryy
@elmerportiles
@corona_beerus
@cdcgov
@himalayaglobal
@delacruztine
@techjunkiejh

Top Mentioned in G6:
@calitrumplady
@zeusfanhouse
@corona_beerus
@livecrisisnews

Top Mentioned in G7:
@himalayaglobal
@livecrisisnews
@rutsuyasun
@derekdob
@corona_beerus
@poisonedpshow
@hkbnews
@snowlaf__
@bprophetable
@mackayim

Top Mentioned in G8:
@lotusoak2
@cathy_kean
@thedoctors
@delta33_1976
@calitrumplady

Top Mentioned in G9:
@ladyredwave
@corona_beerus
@zeusfanhouse
@lotusoak2
@calitrumplady

Top Mentioned in G10:
@wvufanagent99
@zeusfanhouse
@calitrumplady
@gordongchang
@ladyredwave

Top Tweeters
Top Tweeters in Entire Graph:
@pulpnews
@tomthunkitsmind
@raybae689
@rjber15
@insdatainter
@chidambara09
@evankirstel
@inquirerdotnet
@4pawshop
@lehimesa

Top Tweeters in G1:
@pulpnews
@stormyvnv
@heatherpeno
@iii_means_free
@mtnbvan
@mdlinx
@physorg_health
@hhv6_university
@taco_lad
@gulftimes_qatar

Top Tweeters in G2:
@rjber15
@newyorker2212
@reuters
@baronianconsult
@frespirit01
@justonepatriot
@rockyintx
@nanditathhakur
@smokinsam420
@stillkicking62

Top Tweeters in G3:
@saveusrepublic2
@inabsentia9
@superyayadize
@darhar981
@aliatra1968
@cnbc
@zeusfanhouse
@djnazsd
@sxdoc
@b52malmet

Top Tweeters in G4:
@theresamax
@lolly_mudpie
@frlarousse2
@whollyamericana
@karolcummins
@yahoofinance
@labeachgal1
@64rivergirl
@kimkriz1
@ginnyv58

Top Tweeters in G5:
@tomthunkitsmind
@teachesl
@reda2448
@lydiadaye
@bectchay1126
@cynicalvision50
@techjunkiejh
@uae_omar21
@gailcoastie
@vieleershans

Top Tweeters in G6:
@docwashburn
@shirleyringuet5
@janmareesmith2
@lonestartxmary
@nexus7900
@gcamp4
@cherrybaysb
@mglessman
@vhalen67
@d_dextra

Top Tweeters in G7:
@komatsunotsuma
@pepitobarcelona
@filippo898
@nytimes
@sandoly
@marielsiviglia
@kheatherbrown
@qwertyuiioasdg
@bprophetable
@nrtbkk7

Top Tweeters in G8:
@owlwoman911_
@eyegloarts
@jamesjava
@ericsteelelive
@dsdr2011
@svagdis
@disparatepost
@matuajustin
@briangpowell
@eclectelectric

Top Tweeters in G9:
@raybae689
@sandyriccobono
@ladyredwave
@ptsd1471
@manzanaresbye
@laurawilsongal
@andyblandina
@sox_maga
@smillr
@jkaccinni

Top Tweeters in G10:
@nahbabynah
@lyn1350
@usatopguns
@tia6sc
@bluesea1964
@jamierodr14
@inittowinit007
@boyd_2650
@noprezzie2012
@hlaurora63