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covid19 OR covid OR covidー19 OR covid_19 OR coronavirus -covid19uk AND (meat OR pork OR beef OR saus (experimental version)
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From:
scotpublichealth
Uploaded on:
May 16, 2020
Short Description:
covid19 OR covid OR covidー19 OR covid_19 OR coronavirus -covid19uk AND (meat OR pork OR beef OR sausages OR sausage OR hamburgers OR beefburgers OR burgers OR abattoir OR factory OR slaughterhouse OR slaughter) until:2020-05-09 via NodeXL https://bit.ly/2LA85tn
@maddow
@thedailybeast
@smithblindl

Description:
Description
The graph represents a network of 17,628 Twitter users whose recent tweets contained "covid19 OR covid OR covidー19 OR covid_19 OR coronavirus -covid19uk AND (meat OR pork OR beef OR sausages OR sausage OR hamburgers OR beefburgers OR burgers OR abattoir OR factory OR slaughterhouse OR slaughter) until:2020-05-09", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 15 May 2020 at 20:07 UTC.

The tweets in the network were tweeted over the 1-day, 0-hour, 31-minute period from Thursday, 07 May 2020 at 23:28 UTC to Friday, 08 May 2020 at 23:59 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 : 17628
Unique Edges : 23608
Edges With Duplicates : 3141
Total Edges : 26749
Self-Loops : 3485
Reciprocated Vertex Pair Ratio : 0.00587690883850069
Reciprocated Edge Ratio : 0.0116851451442241
Connected Components : 2912
Single-Vertex Connected Components : 1753
Maximum Vertices in a Connected Component : 11619
Maximum Edges in a Connected Component : 20130
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.439843
Graph Density : 6.99549030473382E-05
Modularity : 0.808454
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 17,628 Twitter users whose recent tweets contained "covid19 OR covid OR covidー19 OR covid_19 OR coronavirus -covid19uk AND (meat OR pork OR beef OR sausages OR sausage OR hamburgers OR beefburgers OR burgers OR abattoir OR factory OR slaughterhouse OR slaughter) until:2020-05-09", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 15 May 2020 at 20:07 UTC.

The tweets in the network were tweeted over the 1-day, 0-hour, 31-minute period from Thursday, 07 May 2020 at 23:28 UTC to Friday, 08 May 2020 at 23:59 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 : TwitterSearch
Graph Term : covid19 OR covid OR covidー19 OR covid_19 OR coronavirus -covid19uk AND (meat OR pork OR beef OR sausages OR sausage OR hamburgers OR beefburgers OR burgers OR abattoir OR factory OR slaughterhouse OR slaughter) until:2020-05-09
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
Vertex Alpha : Followers

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[524] https://www.thedailybeast.com/coronavirus-cases-at-iowa-meat-plant-double-to-1000-on-same-day-it-reopens
[367] https://twitter.com/topos_ai/status/1258227808146423811?s=20
[179] https://talkingpointsmemo.com/news/covid-case-count-at-reopened-tyson-meat-plant-doubles-to-more-than-1000
[122] https://www.independent.co.uk/environment/coronavirus-meat-animal-farming-pandemic-disease-wet-markets-a9505626.html
[118] https://www.vox.com/recode/2020/5/8/21248618/coronavirus-meat-shortage-food-supply-chain-grocery-stores
[115] https://thehill.com/changing-america/well-being/longevity/496844-coronavirus-cases-at-iowa-meat-plant-top-1000-same-day
[99] https://www.bbc.co.uk/news/world-us-canada-52575904
[86] https://www.thedailybeast.com/coronavirus-cases-at-iowa-meat-plant-double-to-1000-on-same-day-it-reopens?source=twitter&via=desktop
[64] https://nytv.to/qmzYO
[62] https://www.vox.com/future-perfect/2020/5/5/21247286/plant-based-meat-coronavirus-pandemic-impossible-burger-beyond

Top URLs in Tweet in G1:
[70] https://www.bbc.co.uk/news/world-us-canada-52575904
[55] https://www.vox.com/recode/2020/5/8/21248618/coronavirus-meat-shortage-food-supply-chain-grocery-stores
[36] https://edition.cnn.com/2020/05/07/politics/alex-azar-meat-processing-plants/index.html
[30] https://www.thedailybeast.com/coronavirus-cases-at-iowa-meat-plant-double-to-1000-on-same-day-it-reopens
[27] https://www.bbc.com/news/world-us-canada-52575904
[23] https://twitter.com/i/events/1258401646905896965
[17] https://www.latimes.com/california/story/2020-05-07/138-employees-at-central-california-meat-plant-test-positive-for-coronavirus
[16] https://www.theverge.com/2020/5/8/21251762/elon-musk-reopening-freemont-factory-coronavirus
[16] https://www.theverge.com/2020/5/8/21251762/elon-musk-reopening-freemont-factory-coronavirus?utm_source=dlvr.it&utm_medium=twitter
[14] https://www.independent.co.uk/environment/coronavirus-meat-animal-farming-pandemic-disease-wet-markets-a9505626.html

Top URLs in Tweet in G2:
[312] https://twitter.com/topos_ai/status/1258227808146423811?s=20
[11] https://www.thedailybeast.com/coronavirus-cases-at-iowa-meat-plant-double-to-1000-on-same-day-it-reopens
[8] https://www.thedailybeast.com/nebraska-wont-track-covid-19-cases-at-meat-plants-gov-pete-ricketts-says
[7] https://www.kios.org/post/nebraska-covid-total-tops-7000-state-will-no-longer-report-numbers-affected-meat-processors
[6] https://www.newsweek.com/wrongful-death-lawsuit-filed-against-pennsylvania-meat-plant-over-coronavirus-deaths-1502662
[6] https://thesource.com/2020/05/07/donald-trump-honeywell/
[4] https://thefern.org/2020/04/mapping-covid-19-in-meat-and-food-processing-plants/
[4] https://www.nbcnews.com/news/us-news/nearly-900-workers-tyson-foods-plant-indiana-test-positive-coronavirus-n1197776
[4] https://rivercountry.newschannelnebraska.com/story/42103591/state-issues-gag-order-hours-before-rumors-of-covid19-prevalence-at-nebraska-city
[3] https://www.bloomberg.com/news/features/2020-05-07/coronavirus-closes-meat-plants-threatens-food-supply

Top URLs in Tweet in G3:
[81] https://www.thedailybeast.com/coronavirus-cases-at-iowa-meat-plant-double-to-1000-on-same-day-it-reopens?source=twitter&via=desktop
[53] https://www.thedailybeast.com/coronavirus-cases-at-iowa-meat-plant-double-to-1000-on-same-day-it-reopens?via=newsletter
[43] https://www.thedailybeast.com/nebraska-wont-track-covid-19-cases-at-meat-plants-gov-pete-ricketts-says?via=newsletter
[32] https://www.vox.com/recode/2020/5/8/21248618/coronavirus-meat-shortage-food-supply-chain-grocery-stores?utm_campaign=vox&utm_content=chorus&utm_medium=social&utm_source=twitter
[28] https://www.vox.com/future-perfect/2020/5/5/21247286/plant-based-meat-coronavirus-pandemic-impossible-burger-beyond
[14] https://www.vox.com/recode/2020/5/8/21248618/coronavirus-meat-shortage-food-supply-chain-grocery-stores?utm_campaign=vox&utm_content=entry&utm_medium=social&utm_source=twitter
[13] https://www.thedailybeast.com/coronavirus-cases-at-iowa-meat-plant-double-to-1000-on-same-day-it-reopens?source=twitter&via=mobile
[8] https://animalequality.org/blog/2020/04/29/meat-industry-culling-depopulation-covid-19/
[6] https://www.vox.com/future-perfect/2020/5/5/21247286/plant-based-meat-coronavirus-pandemic-impossible-burger-beyond?utm_campaign=vox&utm_content=entry&utm_medium=social&utm_source=twitter
[5] https://www.democracynow.org/2020/5/8/headlines/texas_stops_jailing_lockdown_violators_nebraska_ends_reporting_on_meat_plant_covid_19_cases

Top URLs in Tweet in G4:
[22] https://www.msnbc.com/the-last-word/watch/coronavirus-superclusters-found-in-u-s-meat-packing-plants-prisons-and-nursing-homes-83182149649
[6] https://www.nytimes.com/2020/05/07/opinion/trump-meat-plants-coronavirus.html
[6] https://twitter.com/kevincorke/status/1258541890909044736
[5] https://www.nbcnews.com/news/us-news/58-percent-workers-tyson-meat-factory-iowa-test-positive-coronavirus-n1200641
[4] https://www.kcur.org/2020-05-08/what-an-impending-meat-shortage-means-for-kansas-city-barbecue
[4] https://www.nytimes.com/2020/05/07/opinion/trump-meat-plants-coronavirus.html?smid=tw-share
[3] https://www.thedailybeast.com/coronavirus-cases-at-iowa-meat-plant-double-to-1000-on-same-day-it-reopens
[3] https://edition.cnn.com/2020/05/07/politics/alex-azar-meat-processing-plants/index.html
[3] https://www.palmerreport.com/analysis/mask-factory-scandal-just-got-even-uglier-donald-trump/28390/
[3] https://news.yahoo.com/coronavirus-meat-shortage-leaves-us-204723753.html?soc_src=hl-viewer&soc_trk=tw

Top URLs in Tweet in G5:
[9] https://twitter.com/i/events/1258401646905896965
[8] https://www.bloomberg.com/news/features/2020-05-07/coronavirus-closes-meat-plants-threatens-food-supply?utm_medium=social&utm_content=businessweek&cmpid=socialflow-twitter-businessweek&utm_campaign=socialflow-organic&utm_source=twitter
[7] https://www.bloomberg.com/news/features/2020-05-07/coronavirus-closes-meat-plants-threatens-food-supply
[5] https://www.peta.org/blog/coronavirus-covid-19-slaughterhouse-meat-concerns/?utm_source=PETA::Twitter&utm_medium=Social&utm_campaign=0520::veg::PETA::Twitter::coronavirus-covid-19-slaughterhouse-meat-concerns::::tweet
[4] https://www.thedailybeast.com/coronavirus-cases-at-iowa-meat-plant-double-to-1000-on-same-day-it-reopens
[3] https://www.bloomberg.com/news/features/2020-05-07/coronavirus-closes-meat-plants-threatens-food-supply?utm_source=twitter&utm_medium=social&utm_campaign=socialflow-organic&utm_content=politics&cmpid%3D=socialflow-twitter-politics
[3] https://www.theguardian.com/environment/2020/may/05/wendys-burgers-beef-meat-shortage-coronavirus?CMP=share_btn_tw
[3] https://eu.desmoinesregister.com/story/news/health/2020/05/05/coronavirus-infects-thousands-iowa-meatpacking-plant-workers-covid-19-waterloo-perry/5170796002/
[2] https://twitter.com/i/moments/1258401646905896965
[2] https://www.facebook.com/94722630161/videos/256542555495764/

Top URLs in Tweet in G6:
[2] http://toi.in/micron/redirect.html?str=uSX65b/a24gk
[1] https://www.vox.com/future-perfect/2020/5/1/21243300/meat-supply-coronavirus-plant-shortage-food-chain
[1] https://www.nytimes.com/2020/04/29/business/coronavirus-trump-meat-plants.html?campaign_id=9&emc=edit_NN_p_20200430&instance_id=18091&nl=morning-briefing®i_id=78355985§ion=topNews&segment_id=26273&te=1&user_id=58365eff4c91ae62c7bdb4083dcca86d
[1] https://www.cbsnews.com/news/coronavirus-usda-meat-inspectors-3-dead-covid-19/
[1] https://gadgets.ndtv.com/science/news/apple-awards-10-million-to-nasal-swab-maker-copan-diagnostics-to-help-boost-factory-output-2225032
[1] http://toi.in/micron/redirect.html?str=4w8u5b/a24gk
[1] https://www.thehindu.com/news/national/other-states/coronavirus-lockdown-three-truckers-stranded-for-50-days-die-of-food-poisoning-in-odisha/article31534325.ece
[1] https://www.businessinsider.com/hundreds-food-plant-workers-tested-positive-for-covid-19-asymptomatic-2020-5?amp&r=US&IR=T
[1] https://link.medium.com/idNyb4fjh6
[1] http://toi.in/micron/redirect.html?str=gmeYfa61/a24gk

Top URLs in Tweet in G7:
[64] https://thehill.com/changing-america/well-being/longevity/496844-coronavirus-cases-at-iowa-meat-plant-top-1000-same-day
[16] https://www.plantbasednews.org/lifestyle/-u-s-meat-industry-covid-19-hotspots
[10] https://mashable.com/article/impossible-beyond-meat-coronavirus/?utm_content=tech&utm_campaign=mash-com-tw-main-link&utm_medium=twitter&utm_source=social
[9] https://www.ecowatch.com/meatless-meat-sales-coronavirus-2645943304.html?rebelltitem=1#rebelltitem1
[8] https://www.plantbasednews.org/lifestyle/spanish-supermarkets-launching-vegan-meat-covid-19
[6] https://www.thedailybeast.com/coronavirus-cases-at-iowa-meat-plant-double-to-1000-on-same-day-it-reopens?via=newsletter&source=CSAMedition
[5] https://www.theguardian.com/world/2020/may/02/meat-plant-workers-us-coronavirus-war
[5] https://trib.al/gWOLl8i
[4] https://www.youtube.com/watch?v=kc6pnvTTNDg

[4] https://thehill.com/homenews/news/495564-nearly-900-workers-at-tyson-meat-plant-in-indiana-test-positive-for-coronavirus

Top URLs in Tweet in G8:
[2] https://www.theage.com.au/national/victoria/labour-hire-firm-told-of-covid-19-outbreak-days-before-cedar-meats-20200507-p54qx7.html
[2] https://www.theaustralian.com.au/remote/check_cookie.html?url=https%3a%2f%2fwww.theaustralian.com.au%2fnation%2fpolitics%2fcoronavirus-unnamed-abattoir-cluster-has-close-personal-ties-to-labor-mps%2fnews-story%2f472c8af5a36264a19bd27aeac1a2171a
[1] https://twitter.com/katieallenmp/status/1258644690238230531
[1] https://www.theage.com.au/national/victoria/andrews-slams-silly-political-games-as-abattoir-outbreak-spreads-20200507-p54qqt.html
[1] https://twitter.com/helprodger/status/1258227166589841409
[1] https://amp.theage.com.au/national/victoria/labour-hire-firm-told-of-covid-19-outbreak-days-before-cedar-meats-20200507-p54qx7.html?__twitter_impression=true
[1] https://www.theaustralian.com.au/world/coronavirus-wildlife-wet-markets-put-on-notice-in-indonesia-and-singapore/news-story/45d820f8d88149f1fe7cc098ac44c6d8
[1] https://www.abc.net.au/news/2020-05-08/steak-is-safe-despite-covid-19-abattoir-cluster-experts-say/12224938
[1] https://www.heraldsun.com.au/coronavirus/health-authorities-didnt-consider-cedar-meats-as-exposure-site/news-story/baf6465ed91359942016c74d0510d379?utm_content=SocialFlow&utm_medium=Twitter&utm_campaign=EditorialSF&utm_source=HeraldSun
[1] https://www.abc.net.au/news/2020-05-08/coronavirus-restrictions-in-victoria-to-be-explained-monday/12222784

Top URLs in Tweet in G9:
[381] https://www.thedailybeast.com/coronavirus-cases-at-iowa-meat-plant-double-to-1000-on-same-day-it-reopens
[11] http://www.msn.com/en-us/news/us/chief-justice-covid-19-spread-at-meatpacking-plant-not-affecting-regular-folks/ar-BB13HUp1?ocid=st2
[7] https://twitter.com/topos_ai/status/1258227808146423811?s=20
[7] https://thehill.com/changing-america/well-being/longevity/496844-coronavirus-cases-at-iowa-meat-plant-top-1000-same-day
[4] https://www.bloomberg.com/news/features/2020-05-07/coronavirus-closes-meat-plants-threatens-food-supply?utm_source=twitter&utm_medium=social&utm_campaign=socialflow-organic&utm_content=politics&cmpid%3D=socialflow-twitter-politics
[4] https://www.ecowatch.com/meatless-meat-sales-coronavirus-2645943304.html
[3] https://www.aspca.org/news/aspca-leads-coalition-urging-usda-stop-high-speed-animal-slaughter-during-covid-19
[1] https://guce.huffpost.com/consent?brandType=nonEU&lang=en-us&done=https%3A%2F%2Fwww%2Ehuffpost%2Ecom%2Fentry%2Ffox%2Dnews%2Dpete%2Dhegseth%2Dcoronavirus%2Dcourage%5Fn%5F5eb50bc8c5b6afac2ef5278d&gcrumb=MVa8mmo=
[1] https://mymfa.mercyforanimals.org/page/19156/action/1?en_chan=tw&locale=en-US&ea.tracking.id=twitter&en_ref=14565005
[1] https://www.rollcall.com/2020/05/08/usda-moves-forward-with-food-buys-to-aid-farmers-food-banks/

Top URLs in Tweet in G10:
[12] https://datausa.io/profile/soc/butchers-other-meat-poultry-fish-processing-workers
[12] https://eu.usatoday.com/story/news/investigations/2020/05/06/meatpacking-industry-hits-grim-milestone-10-000-coronavirus-cases/5176342002/
[3] https://www.conservativereview.com/news/horowitz-mitt-romney-cluelessly-exaggerates-coronavirus-fatality-rates/
[2] https://www.nbcnews.com/news/us-news/language-barriers-helped-turn-smithfield-foods-meat-plant-covid-19-n1190736
[1] https://www.kansascity.com/news/coronavirus/article242515976.html

Top Domains
Top Domains in Tweet in Entire Graph:
[789] thedailybeast.com
[656] twitter.com
[302] co.uk
[257] vox.com
[179] talkingpointsmemo.com
[172] bloomberg.com
[158] thehill.com
[125] latimes.com
[102] mercyforanimals.org
[91] nytimes.com

Top Domains in Tweet in G1:
[114] twitter.com
[107] co.uk
[82] mercyforanimals.org
[64] vox.com
[43] cnn.com
[41] bloomberg.com
[38] thedailybeast.com
[34] theverge.com
[32] reuters.com
[28] nytimes.com

Top Domains in Tweet in G2:
[320] twitter.com
[22] thedailybeast.com
[8] newschannelnebraska.com
[7] kios.org
[7] nbcnews.com
[6] thefern.org
[6] newsweek.com
[6] thesource.com
[4] bloomberg.com
[3] theguardian.com

Top Domains in Tweet in G3:
[206] thedailybeast.com
[83] vox.com
[20] change.org
[9] animalequality.org
[9] bloomberg.com
[8] twitter.com
[6] democracynow.org
[6] trib.al
[6] cbc.ca
[6] mercyforanimals.org

Top Domains in Tweet in G4:
[22] twitter.com
[22] msnbc.com
[18] nytimes.com
[15] trib.al
[8] nbcnews.com
[7] cnn.com
[7] yahoo.com
[5] kcur.org
[5] thedailybeast.com
[4] msn.com

Top Domains in Tweet in G5:
[48] bloomberg.com
[17] twitter.com
[7] peta.org
[5] thedailybeast.com
[4] ft.com
[3] theguardian.com
[3] desmoinesregister.com
[3] wspa.com
[2] facebook.com
[2] sky.com

Top Domains in Tweet in G6:
[5] toi.in
[1] vox.com
[1] nytimes.com
[1] cbsnews.com
[1] ndtv.com
[1] thehindu.com
[1] businessinsider.com
[1] medium.com

Top Domains in Tweet in G7:
[71] thehill.com
[26] plantbasednews.org
[10] mashable.com
[9] ecowatch.com
[9] livekindly.co
[8] thedailybeast.com
[7] theguardian.com
[7] trib.al
[6] twitter.com
[5] youtube.com

Top Domains in Tweet in G8:
[11] com.au
[3] twitter.com
[2] net.au

Top Domains in Tweet in G9:
[382] thedailybeast.com
[12] msn.com
[9] twitter.com
[7] thehill.com
[4] bloomberg.com
[4] ecowatch.com
[3] aspca.org
[2] rappler.com
[1] huffpost.com
[1] mercyforanimals.org

Top Domains in Tweet in G10:
[12] datausa.io
[12] usatoday.com
[3] conservativereview.com
[2] nbcnews.com
[1] kansascity.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1371] covid19
[536] coronavirus
[532] allah_not_allowed_eatmeat
[469] china
[451] banyulin
[437] report
[421] wetmarkets
[384] dogcatmeattrade
[237] crucial
[203] imperative



Top Hashtags in Tweet in G1:
[175] covid19
[114] coronavirus
[43] covid_19
[27] covid
[26] smartnews
[23] meat
[18] allah_not_allowed_eatmeat
[16] vegan
[14] beef
[13] meatpacking

Top Hashtags in Tweet in G2:
[40] covid19
[20] covidー19
[13] nebraska
[11] coronavirus
[7] ne02
[6] allah_not_allowed_eatmeat
[5] covid_19
[5] maddow
[3] covid
[3] meatpacking

Top Hashtags in Tweet in G3:
[451] banyulin
[446] china
[437] report
[407] wetmarkets
[384] dogcatmeattrade
[237] crucial
[203] imperative
[126] covid19
[48] coronavirus
[42] yulin

Top Hashtags in Tweet in G4:
[39] covid19
[16] coronavirus
[11] assholeazar
[8] covid
[8] trump
[7] covid_19
[6] liveandletdie
[6] demonrat
[5] maga
[5] trumpvirus

Top Hashtags in Tweet in G5:
[32] covid19
[12] meatlessmay
[10] keepslaughterhousesclosed
[8] indiana
[5] coronavirus
[5] jbs
[4] meat
[4] colorado
[3] meatpacking
[3] trump

Top Hashtags in Tweet in G6:
[455] allah_not_allowed_eatmeat
[36] stopeatingmeat
[18] covid19
[14] coronavirus
[10] covidー19
[9] bihar
[5] prepper
[5] preppers
[5] prepping
[5] preppertalk

Top Hashtags in Tweet in G7:
[51] covid19
[15] meat
[14] plantbased
[13] wetmarkets
[13] fur
[13] zoonotic
[13] coronavirus
[13] covid_19
[8] vegan
[3] lobbying

Top Hashtags in Tweet in G8:
[7] auspol
[6] covid19
[6] coronavirus
[5] halal
[3] cedarmeats
[2] springst
[2] melbourne
[2] covid19aus
[2] 9today
[2] labor

Top Hashtags in Tweet in G9:
[2] usrc
[2] capitslismgonemad
[2] covid19
[1] coronavirus
[1] covid19ph

Top Hashtags in Tweet in G10:
[170] covid19

Top Words
Top Words in Tweet in Entire Graph:
[14180] Words in Sentiment List#1: Positive
[24045] Words in Sentiment List#2: Negative
[292] Words in Sentiment List#3: Angry/Violent
[526683] Non-categorized Words
[564911] Total Words
[13829] meat
[5810] covid
[5623] workers
[5187] plant
[5080] coronavirus

Top Words in Tweet in G1:
[1153] meat
[595] covid
[594] coronavirus
[481] 19
[321] plant
[281] s
[276] workers
[273] factory
[263] plants
[185] processing

Top Words in Tweet in G2:
[887] meat
[727] plants
[693] gov
[661] 2
[649] ricketts
[625] individual
[601] covid
[532] processing
[513] 19
[493] 1

Top Words in Tweet in G3:
[899] meat
[619] s
[453] #covid19
[451] #banyulin
[446] #china
[444] #wetmarkets
[440] #healthy
[440] #slaughter
[439] together
[437] #report

Top Words in Tweet in G4:
[537] meat
[319] realdonaldtrump
[286] plants
[286] covid
[269] workers
[257] tested
[236] coronavirus
[205] 19
[199] trump
[173] packing

Top Words in Tweet in G5:
[551] meat
[430] benjamin
[418] sick
[402] workers
[364] plants
[349] 19
[326] weeks
[322] died
[293] plant
[258] coronavirus

Top Words in Tweet in G6:
[1124] meat
[574] diseases
[471] eating
[460] #allah_not_allowed_eatmeat
[440] stop
[320] coronavirus
[307] such
[268] industries
[268] vulnerable
[268] variety

Top Words in Tweet in G7:
[391] meat
[197] workers
[145] plant
[142] worried
[140] coronavirus
[132] covid
[112] animal
[106] 19
[105] t
[101] cases

Top Words in Tweet in G8:
[401] meat
[341] heard
[307] cluster
[300] #covid19
[296] transmission
[289] works
[286] restrictions
[284] know
[282] care
[282] community

Top Words in Tweet in G9:
[446] meat
[414] plant
[407] coronavirus
[400] 1
[393] iowa
[392] cases
[392] 000
[389] same
[389] day
[382] double

Top Words in Tweet in G10:
[680] meat
[663] deaths
[647] plant
[483] workers
[340] age
[286] 60
[240] 000
[232] out
[228] old
[222] over

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[4083] covid,19
[2482] meat,plant
[2195] meat,processing
[2103] meat,packing
[1185] 1,000
[1111] processing,plants
[1061] packing,plants
[995] coronavirus,cases
[971] meat,plants
[942] nursing,homes

Top Word Pairs in Tweet in G1:
[468] covid,19
[156] meat,shortage
[133] meat,plant
[130] meat,processing
[119] coronavirus,meat
[103] shortage,leaves
[102] leaves,farmers
[102] blowing',choice
[101] farmers,'mind
[101] 'mind,blowing'

Top Word Pairs in Tweet in G2:
[631] gov,ricketts
[510] covid,19
[487] meat,processing
[471] processing,plants
[429] nursing,homes
[318] 19,data
[313] releasing,covid
[312] hello,gov
[312] ricketts,communications
[312] communications,person

Top Word Pairs in Tweet in G3:
[438] #china,#banyulin
[436] 6,21
[428] #report,s
[410] live,#slaughter
[407] together,#transport
[398] #wetmarkets,permanently
[384] #dogcatmeattrade,#wetmarkets
[380] 21,#dogcatmeattrade
[360] #banyulin,6
[346] pls,#report

Top Word Pairs in Tweet in G4:
[200] covid,19
[173] meat,packing
[142] tested,regularly
[125] packing,plants
[99] white,house
[92] meat,processing
[88] meat,packers
[79] essential,workers
[76] workers,tested
[74] tested,daily

Top Word Pairs in Tweet in G5:
[284] meat,plants
[250] rafael,benjamin
[212] weeks,later
[204] workers,sick
[197] cold,crowded
[197] crowded,deadly
[194] food,supply
[191] coronavirus,meat
[189] deadly,thousands
[189] thousands,workers

Top Word Pairs in Tweet in G6:
[438] stop,eating
[268] meat,industries
[268] industries,vulnerable
[268] vulnerable,variety
[268] variety,various
[268] various,infectious
[268] infectious,diseases
[268] diseases,manifest
[268] manifest,meat
[268] meat,processing

Top Word Pairs in Tweet in G7:
[104] covid,19
[94] meat,plant
[75] 1,000
[74] coronavirus,cases
[73] cases,iowa
[73] iowa,meat
[73] shouldn,t
[72] 000,same
[72] same,day
[72] meat,shortage

Top Word Pairs in Tweet in G8:
[289] meat,works
[280] former,doctor
[280] doctor,know
[280] know,answer
[280] answer,heard
[280] heard,cluster
[280] cluster,meat
[280] works,two
[280] two,aged
[280] aged,care

Top Word Pairs in Tweet in G9:
[401] meat,plant
[392] coronavirus,cases
[392] 1,000
[389] cases,iowa
[389] iowa,meat
[389] 000,same
[389] same,day
[382] plant,double
[382] double,1
[382] day,reopens

Top Word Pairs in Tweet in G10:
[592] meat,plant
[422] plant,workers
[182] 000,meat
[170] out,248
[170] 248,000
[170] workers,now
[170] now,estimated
[170] estimated,45
[170] 45,#covid19
[170] #covid19,deaths

Top Replied-To
Top Replied-To in Entire Graph:
@maryjoe38642126
@realdonaldtrump
@maddow
@govricketts
@kylegriffin1
@maddowblog
@newschannelne
@gagetaylor
@ver_nunft
@thomas1774paine

Top Replied-To in G1:
@factory_wash

Top Replied-To in G2:
@maddow
@govricketts
@maddowblog
@gagetaylor
@kylegriffin1
@amy_siskind
@azsunshine_mama
@propublica
@brad_dickson
@repdonbacon

Top Replied-To in G3:
@maryjoe38642126
@eevapaavilainen
@anthonyjoyner44
@ingrahamangle
@park_wanju
@democracynow
@foxnews
@europarl_en
@maddow
@mcspocky

Top Replied-To in G4:
@realdonaldtrump
@chuckgrassley
@jennajameson
@ivankatrump
@paulareidcbs
@whitehouse
@jamieson
@cnn
@tomilahren
@teamtrump

Top Replied-To in G5:
@peter_waldman
@pwnorthwest
@polly
@td2timemvp
@lydiamulvany
@bw

Top Replied-To in G6:
@meat
@saintrampaljim
@nsitharaman
@pmoindia
@arvindkejriwal
@rajatsharmalive
@narendramodi
@sardesairajdeep
@nileshshah68
@virsanghvi

Top Replied-To in G7:
@thomaskaine5
@thehill
@carolesaab
@jimcramer
@thetruecompton
@aggie_olson
@jesslreid
@beyondmeat
@ivy_middletonuk
@rhodyfreedom

Top Replied-To in G8:
@eenuph
@vicgovau
@stanleywaite1
@blackdouglas
@johnjos45457274
@macsween_prue
@christi48434048
@smh
@vanonselenp
@mandynorbury

Top Replied-To in G9:
@kris_sacrebleu
@malcolmnance
@starshiptroopr
@ronborsh
@bevhoward40

Top Replied-To in G10:
@jamestodaromd
@mizdonna
@rmconservative
@ivychat
@goddessofgrain

Top Mentioned
Top Mentioned in Entire Graph:
@thedailybeast
@realdonaldtrump
@ewtn
@saintrampaljim
@secazar
@maddow
@govricketts
@usatoday
@polly
@wired

Top Mentioned in G1:
@csis_trade
@asthana_shashi
@hybrid_ts
@farmersjournal
@futurecar_media

Top Mentioned in G2:
@govricketts
@maddow
@fernnews
@tedgenoways
@leahjdouglas
@estherhonig
@msnbc
@maddowblog
@npr
@netnebraska

Top Mentioned in G3:
@thedailybeast
@wired
@meganmolteni
@bopinion
@voxdotcom
@propublica
@huffpostpol
@ajupfront
@foxnews
@cnni

Top Mentioned in G4:
@realdonaldtrump
@maddow
@msnbc
@potus
@donaldjtrumpjr
@ivankatrump
@richardtrumka
@whitehouse
@erictrump
@palmerreport

Top Mentioned in G5:
@polly
@bw
@lydiamulvany
@peter_waldman
@jbscareers
@lulac
@financialtimes
@domingotexas
@johnkingcnn
@wtp__2020

Top Mentioned in G6:
@saintrampaljim
@pmoindia
@satlokchannel
@satkabir_
@real_suresh1
@satlok888
@satlok777
@cmodelhi
@rashtrapatibhvn
@arvindkejriwal

Top Mentioned in G7:
@thehill
@beyondmeat
@impossiblefoods
@joekillianpw
@astuesse
@factoryfarmclv
@plantbasednews
@worksafeca
@govholcomb
@sfeldstein

Top Mentioned in G8:
@theage
@gladysb
@scottmorrisonmp
@richardmarlesmp
@australian
@michaelobrienmp
@fredcuy1
@wester_sou
@rte49
@skynewsaust

Top Mentioned in G9:
@artsyiryne
@boycottutah
@maddow
@thedailybeast

Top Mentioned in G10:
@mittromney
@ewtn
@luxor08
@scottdochterman
@juliemac08

Top Tweeters
Top Tweeters in Entire Graph:
@pulpnews
@tomthunkitsmind
@oldlady12345
@the_news_diva
@paoloigna1
@dichristine
@jurylady5
@chris_1791
@existenciala
@pairsonnalitesa

Top Tweeters in G1:
@pulpnews
@the_news_diva
@pairsonnalitesa
@joefreedomlove
@fiweh
@politicalhedge
@loudl
@israelnewslinks
@foggybottomgal
@andyvermaut

Top Tweeters in G2:
@s9tmt
@gottalaff
@mharvey816
@inspiteoftrump
@talkintou
@hazelglasgow
@b1e56df9ce6549f
@_silversmith
@minotauresse
@cblazblaz

Top Tweeters in G3:
@monicasloves
@phillip92321
@derekjohnbryant
@bkindngood
@netminnow
@actualidadrt
@sophialamar1
@lizditz
@janiecestaton
@calcaware

Top Tweeters in G4:
@yarosisnancy
@padakitty
@cheezwitham
@kenkircher1
@businessinsider
@betterw05759703
@enrico056
@huffpost
@nhdogmom
@bethsinniresist

Top Tweeters in G5:
@threadreaderapp
@revolution_fr
@marylschmidt
@n7irl
@allchanges
@mechwarriorny
@raygibbs1
@tinamorphis
@glynmoody
@aworldoutofmind

Top Tweeters in G6:
@varun18vijay
@timesofindia
@mohanth80694870
@the_hindu
@republic
@ghanshyam3080
@mona89206175
@equateall
@zeenews
@nistula

Top Tweeters in G7:
@existenciala
@thehill
@diegodelunamx
@wendycroy888
@astraea_styx
@videoneonr
@mjgarciakcmo
@baronianconsult
@djzjcz
@darylgibson

Top Tweeters in G8:
@minhkular
@sallyrmelb
@yathinkn
@whosfibbing
@wendoureeswans
@cunningham_cch
@slsandpet
@qldaah
@drrimmer
@roseannebyrne

Top Tweeters in G9:
@debilu2
@rapplerdotcom
@usrealitycheck
@leehillerlondon
@ecclesias
@new_narrative
@rrnunez
@whirledcitizen_
@teetweetshere
@lawgirl318

Top Tweeters in G10:
@soniaerasmus
@lauracgilleslil
@1catherinesiena
@_yvonneburton
@lyndag1963
@bikerbd
@mightymouth5413
@donadeedooda
@kirchbabe
@taxpayers1234


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