The graph represents a network of 17,998 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 since:2020-05-10 until:2020-05-11", 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 Saturday, 16 May 2020 at 23:08 UTC.
The tweets in the network were tweeted over the 22-hour, 34-minute period from Sunday, 10 May 2020 at 01:24 UTC to Sunday, 10 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 : 17998
Unique Edges : 21881
Edges With Duplicates : 2211
Total Edges : 24092
Self-Loops : 2989
Reciprocated Vertex Pair Ratio : 0.00314355571079287
Reciprocated Edge Ratio : 0.00626740947075209
Connected Components : 2538
Single-Vertex Connected Components : 1558
Maximum Vertices in a Connected Component : 12596
Maximum Edges in a Connected Component : 17785
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.760997
Graph Density : 6.20666222950828E-05
Modularity : 0.825683
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 17,998 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 since:2020-05-10 until:2020-05-11", 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 Saturday, 16 May 2020 at 23:08 UTC.
The tweets in the network were tweeted over the 22-hour, 34-minute period from Sunday, 10 May 2020 at 01:24 UTC to Sunday, 10 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 since:2020-05-10 until:2020-05-11
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:
[3543] covid,19 [2462] animal,farming [2462] caused,new [2461] industrial,animal [2460] farming,caused [2386] infectious,diseases [2344] new,infectious [2330] diseases,risks [2330] risks,more [2328] more,pandemics Top Word Pairs in Tweet in G1:
[2125] industrial,animal [2125] animal,farming [2125] farming,caused [2125] caused,new [2122] new,infectious [2122] infectious,diseases [2122] diseases,risks [2122] risks,more [2122] more,pandemics [4] gretathunberg,know Top Word Pairs in Tweet in G2:
[276] covid,19 [225] meat,plant [205] elon,musk [199] pork,chops [192] iowa,meat [183] battling,coronavirus [183] coronavirus,iowa [175] chops,vs [175] vs,people [173] people,battling Top Word Pairs in Tweet in G3:
[1080] plant,workers [1078] pork,plant [1076] amazing,tyson [1076] tyson,foods [1076] foods,give [1076] give,masks [1076] masks,pork [1076] workers,space [1076] space,apart [1076] apart,refused Top Word Pairs in Tweet in G4:
[203] #report,s [203] #china,#banyulin [203] 6,21 [191] 21,#dogcatmeattrade [191] #dogcatmeattrade,#wetmarkets [177] live,#slaughter [173] together,#transport [166] pls,#report [166] pork,chops [165] #banyulin,6 Top Word Pairs in Tweet in G5:
[545] covid,19 [518] workers,infected [452] processing,plant [449] meat,processing [371] cargill,meat [353] 64,workers [301] infected,covid [273] plant,south [268] south,montreal [221] montreal,64 Top Word Pairs in Tweet in G6:
[528] meat,packing [517] suggests,sending [483] hhs,secretary [483] secretary,azar [483] azar,meat [483] packing,workers [483] workers,fault [483] fault,catching [483] catching,coronavirus [483] coronavirus,suggests Top Word Pairs in Tweet in G7:
[386] meat,produce [386] produce,farmers [385] dairy,meat [377] coronavirus,pandemic [368] president,trump [362] trump,announces [362] announces,federal [362] federal,government [362] government,purchase [362] purchase,3b Top Word Pairs in Tweet in G8:
[466] covid,19 [373] 3,usda [373] usda,meat [373] meat,inspectors [373] inspectors,dead [372] dead,covid [372] 19,145 [372] 145,diagnosed [372] diagnosed,overall [98] meat,plant Top Word Pairs in Tweet in G9:
[62] out,california [58] elon,musk [50] covid,19 [47] tesla,factory [38] factory,shutdown [35] california,amid [34] fremont,factory [31] move,tesla [30] re,worried [30] worried,tesla Top Word Pairs in Tweet in G10:
[430] covid,19 [423] beyond,meat [421] meat,rivals [421] rivals,rely [421] rely,chinese [421] chinese,ingredients [421] ingredients,opening [421] opening,food [421] food,safety [421] safety,debate Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: