The graph represents a network of 16,151 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:2020-05-07", 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 23:55 UTC.
The tweets in the network were tweeted over the 10-hour, 17-minute period from Wednesday, 06 May 2020 at 13:41 UTC to Wednesday, 06 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 : 16151
Unique Edges : 19756
Edges With Duplicates : 2223
Total Edges : 21979
Self-Loops : 2640
Reciprocated Vertex Pair Ratio : 0.00625686059275521
Reciprocated Edge Ratio : 0.0124359114214029
Connected Components : 2278
Single-Vertex Connected Components : 1320
Maximum Vertices in a Connected Component : 11662
Maximum Edges in a Connected Component : 17192
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.088485
Graph Density : 7.02886631256526E-05
Modularity : 0.821502
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 16,151 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:2020-05-07", 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 23:55 UTC.
The tweets in the network were tweeted over the 10-hour, 17-minute period from Wednesday, 06 May 2020 at 13:41 UTC to Wednesday, 06 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:2020-05-07
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:
[2541] meat,processing [2400] covid,19 [1570] processing,facilities [1390] meat,packing [1161] mask,factory [1138] expanded,testing [1137] 2,meat [1132] iowa,mayor [1121] requests,targeted [1121] targeted,testing Top Word Pairs in Tweet in G1:
[1331] meat,processing [984] requests,targeted [984] targeted,testing [984] testing,town's [984] processing,facilities [984] facilities,expanded [984] expanded,testing [984] testing,residents [984] residents,denied [983] denison,iowa Top Word Pairs in Tweet in G2:
[276] covid,19 [108] mask,factory [61] meat,processing [61] meat,shortage [60] pork,plant [54] meat,plant [49] processing,plants [47] meat,packing [42] 19,outbreak [41] trump,visit Top Word Pairs in Tweet in G3:
[679] meat,shortages [647] farms,coming [647] coming,back [647] back,online [647] online,coronavirus [647] coronavirus,meat [647] shortages,end [647] end,within [647] within,10 [647] 10,days Top Word Pairs in Tweet in G4:
[118] created,chinese [118] chinese,factory [117] factory,china [116] #covid19,come [116] come,factory [116] china,#maga [116] #maga,hat [93] meat,packers [88] greedy,meat [88] packers,undercutting Top Word Pairs in Tweet in G5:
[399] meat,packing [235] covid,19 [213] packing,plants [135] north,america [125] packing,plant [109] high,river [102] joeldryden,sarahcrgr [99] america,s [99] s,largest [99] largest,single Top Word Pairs in Tweet in G6:
[458] mask,factory [452] trump,catching [452] catching,coronavirus [452] coronavirus,wearing [452] wearing,mask [452] mask,mask [452] factory,make [452] make,believe [452] believe,karma [452] karma,again Top Word Pairs in Tweet in G7:
[319] 'live,die' [318] president,trump [318] guns,n' [318] n',roses' [318] roses','live [302] without,covering [302] covering,face [302] face,president [302] trump,visited [302] visited,honeywell Top Word Pairs in Tweet in G8:
[105] covid,19 [104] positive,coronavirus [97] tyson,foods [93] meat,factory [85] 58,percent [85] percent,workers [85] test,positive [83] tyson,meat [82] workers,tyson [82] factory,iowa Top Word Pairs in Tweet in G9:
[378] bill,gates [371] meat,processing [370] video,bill [370] gates,lost [370] lost,money [370] money,green [370] green,energy [370] energy,investments [370] investments,going [370] going,make Top Word Pairs in Tweet in G10:
[191] 10,million [140] positive,coronavirus [136] essential,workers [132] capitalism,american [132] american,style [132] style,tysonfoods [132] tysonfoods,ceo [132] ceo,makes [132] makes,10 [132] million,workers Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G4:
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Top Mentioned in G7:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: