The graph represents a network of 17,589 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:2020-05-12", 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 Sunday, 17 May 2020 at 08:46 UTC.
The tweets in the network were tweeted over the 8-hour, 20-minute period from Monday, 11 May 2020 at 15:39 UTC to Monday, 11 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
Vertices : 17589
Unique Edges : 21382
Edges With Duplicates : 2146
Total Edges : 23528
Self-Loops : 2429
Reciprocated Vertex Pair Ratio : 0.00390370852309694
Reciprocated Edge Ratio : 0.00777705767984446
Connected Components : 2030
Single-Vertex Connected Components : 1281
Maximum Vertices in a Connected Component : 13480
Maximum Edges in a Connected Component : 18898
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.099719
Graph Density : 6.48412938943622E-05
Modularity : 0.812993
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 17,589 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:2020-05-12", 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 Sunday, 17 May 2020 at 08:46 UTC.
The tweets in the network were tweeted over the 8-hour, 20-minute period from Monday, 11 May 2020 at 15:39 UTC to Monday, 11 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:2020-05-12
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:
[4635] covid,19 [4265] morgan,county [3597] elon,musk [2862] meat,processing [2650] factory,workers [2635] workers,covid [2602] processing,plant [2577] won,t [2568] willing,subject [2568] subject,factory Top Word Pairs in Tweet in G1:
[2432] factory,workers [2431] elon,musk [2431] workers,covid [2430] straight,elon [2430] musk,willing [2430] willing,subject [2430] subject,factory [2430] covid,won [2430] won,t [2430] t,subject Top Word Pairs in Tweet in G2:
[3660] morgan,county [1843] meat,processing [1837] covid,19 [1831] processing,plant [1830] refrigerator,truck [1830] truck,brought [1830] brought,morgan [1830] county,colorado [1830] colorado,store [1830] store,bodies Top Word Pairs in Tweet in G3:
[298] covid,19 [271] elon,musk [162] tesla,factory [142] reopens,tesla [141] factory,closed [141] musk,reopens [139] u,s [139] anyone,arrested [138] arrested,ask [135] 'if,anyone Top Word Pairs in Tweet in G4:
[1163] one,iowa [1163] iowa,factory [1163] factory,worker [1163] worker,died [1163] died,taken [1163] taken,tylenol [1163] tylenol,before [1163] before,entering [1163] entering,plant [1163] plant,lower Top Word Pairs in Tweet in G5:
[205] covid,19 [185] u,s [176] food,supply [169] s,food [166] #china,#banyulin [166] 6,21 [164] live,#slaughter [160] 21,#dogcatmeattrade [160] #dogcatmeattrade,#wetmarkets [159] #report,s Top Word Pairs in Tweet in G6:
[188] anyone,arrested [188] arrested,ask [146] tesla,factory [132] reopens,tesla [112] meatpacking,plants [109] twice,national [109] national,rate [108] coronavirus,spread [103] counties,major [102] factory,closed Top Word Pairs in Tweet in G7:
[320] senwarren,reprokhanna [296] food,system [284] fragile,food [282] #covid19,crisis [282] crisis,exposed [282] exposed,fragile [282] system,large [282] large,multinational [282] multinational,corporations [282] corporations,smithfield Top Word Pairs in Tweet in G8:
[268] u,s [243] meat,processing [232] processing,plants [229] consumers,face [229] face,shortages [228] trump,ordered [228] food,supply [228] s,consumers [227] ordered,meat [227] plants,stay Top Word Pairs in Tweet in G9:
[772] 000,dead [386] 3,000 [386] dead,9 [386] 9,11 [386] 11,pretense [386] pretense,20 [386] 20,years [386] years,6 [386] 6,4 [386] 4,trillion Top Word Pairs in Tweet in G10:
[366] covid,19 [339] trump,ordered [338] meatpacking,plants [337] week,trump [336] here,s [336] s,happened [336] happened,one [336] one,week [336] ordered,meatpacking [336] plants,reopen Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: