The graph represents a network of 18,059 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)", 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 Thursday, 14 May 2020 at 19:33 UTC.
The tweets in the network were tweeted over the 20-hour, 29-minute period from Wednesday, 13 May 2020 at 22:21 UTC to Thursday, 14 May 2020 at 18:50 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
Vertices : 18059
Unique Edges : 23263
Edges With Duplicates : 2070
Total Edges : 25333
Self-Loops : 2944
Reciprocated Vertex Pair Ratio : 0.00486367675256045
Reciprocated Edge Ratio : 0.00968027179224647
Connected Components : 2526
Single-Vertex Connected Components : 1475
Maximum Vertices in a Connected Component : 12031
Maximum Edges in a Connected Component : 18657
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.353178
Graph Density : 6.58889273061236E-05
Modularity : 0.845966
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 18,059 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)", 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 Thursday, 14 May 2020 at 19:33 UTC.
The tweets in the network were tweeted over the 20-hour, 29-minute period from Wednesday, 13 May 2020 at 22:21 UTC to Thursday, 14 May 2020 at 18:50 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)
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 Domains
Top Word Pairs in Tweet in Entire Graph:
[4246] covid,19 [2613] meat,plant [1967] inspector,dies [1859] amid,meat [1858] usda,inspector [1849] plant,outbreaks [1829] coronavirus,amid [1750] dies,coronavirus [1606] fourth,usda [1120] meat,plants Top Word Pairs in Tweet in G1:
[323] covid,19 [157] meat,plant [149] meat,plants [108] gassed,shot [107] plant,closures [106] closures,mean [106] mean,pigs [106] pigs,gassed [105] shot,instead [79] elon,musk Top Word Pairs in Tweet in G2:
[1380] inspector,dies [1378] usda,inspector [1378] dies,coronavirus [1378] coronavirus,amid [1378] amid,meat [1378] meat,plant [1378] plant,outbreaks [1375] fourth,usda [8] four,fda [8] fda,meat Top Word Pairs in Tweet in G3:
[440] covid,19 [407] inspector,dies [342] meat,plant [298] u,s [245] usda,inspector [245] amid,meat [238] 4th,usda [237] breaking,4th [223] coronavirus,amid [223] plant,outbreaks Top Word Pairs in Tweet in G4:
[764] covid,19 [562] positive,covid [410] cfia,inspectors [406] beef,packing [385] tested,positive [379] canadian,food [379] food,inspection [379] inspection,agency [376] inspectors,tested [251] packing,plants Top Word Pairs in Tweet in G5:
[616] regular,folks [609] meat,packers [608] remember,during [608] during,oral [608] oral,arguments [608] arguments,rebecca [608] rebecca,bradley [608] bradley,appointed [608] appointed,scott [608] scott,walker Top Word Pairs in Tweet in G6:
[203] #china,#banyulin [203] 6,21 [203] 21,#dogcatmeattrade [203] #dogcatmeattrade,#wetmarkets [201] #report,s [196] pls,#report [184] live,#slaughter [163] together,#transport [159] covid,19 [145] #banyulin,6 Top Word Pairs in Tweet in G7:
[561] flu,pandemic [561] h1n1,swine [561] swine,flu [561] factory,farmed [561] farmed,pigs [561] nobody,calls [561] american,pig [561] pig,flu [561] stop,calling [561] calling,coronavirus Top Word Pairs in Tweet in G8:
[86] oink,oink [67] u,s [61] s,meat [60] processing,plants [56] meat,exports [53] covid,19 [53] exports,surging [53] surging,even [53] even,industry [53] industry,struggling Top Word Pairs in Tweet in G9:
[232] covid,19 [183] meatpacking,plants [150] 19,outbreaks [149] farmers,finish [149] finish,sentences [149] sentences,talk [149] talk,covid [149] outbreaks,meatpacking [149] plants,created [149] created,backlog Top Word Pairs in Tweet in G10:
[372] last,week [371] massie,now [371] now,40 [371] 40,sponsors [371] sponsors,house [371] house,five [371] five,senate [371] senate,both [371] both,democrats [371] democrats,republicans Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: