The graph represents a network of 18,067 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:2020-05-14", 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 Monday, 18 May 2020 at 17:35 UTC.
The tweets in the network were tweeted over the 18-hour, 59-minute period from Wednesday, 13 May 2020 at 05:00 UTC to Wednesday, 13 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 : 18067
Unique Edges : 22172
Edges With Duplicates : 2097
Total Edges : 24269
Self-Loops : 2819
Reciprocated Vertex Pair Ratio : 0.00682007752318336
Reciprocated Edge Ratio : 0.0135477582846004
Connected Components : 2461
Single-Vertex Connected Components : 1376
Maximum Vertices in a Connected Component : 12542
Maximum Edges in a Connected Component : 18086
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.882523
Graph Density : 6.28679509976307E-05
Modularity : 0.844723
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 18,067 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:2020-05-14", 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 Monday, 18 May 2020 at 17:35 UTC.
The tweets in the network were tweeted over the 18-hour, 59-minute period from Wednesday, 13 May 2020 at 05:00 UTC to Wednesday, 13 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:2020-05-14
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:
[4117] covid,19 [1532] positive,covid [1208] tested,positive [1006] last,week [976] killed,uk [922] beef,packing [922] https,t [922] t,co [886] packing,plant [837] canadian,food Top Word Pairs in Tweet in G1:
[1477] covid,19 [1122] positive,covid [899] beef,packing [814] canadian,food [814] food,inspection [814] inspection,agency [785] cfia,inspectors [701] tested,positive [667] inspectors,tested [579] packing,plant Top Word Pairs in Tweet in G2:
[389] covid,19 [94] ramen,noodle [92] noodle,factory [88] elon,musk [79] meat,plants [75] coronavirus,outbreak [75] factory,virginia [66] processing,plants [64] infected,533 [61] one,person Top Word Pairs in Tweet in G3:
[810] magnesium,stearate [810] stearate,ingredient [810] ingredient,#hydroxychloroquine [810] #hydroxychloroquine,#covid19 [810] #covid19,cure [810] cure,surprised [810] surprised,seeing [810] seeing,more [810] more,reports [810] reports,factories Top Word Pairs in Tweet in G4:
[393] flu,pandemic [393] h1n1,swine [393] swine,flu [393] factory,farmed [393] farmed,pigs [393] nobody,calls [393] american,pig [393] pig,flu [393] stop,calling [393] calling,coronavirus Top Word Pairs in Tweet in G5:
[252] oink,oink [195] covid,19 [126] speakerpelosi,housedemocrats [126] housedemocrats,now [126] now,nancy [126] nancy,oink [126] oink,sure [126] sure,love [126] love,pork [126] pork,bc Top Word Pairs in Tweet in G6:
[527] jbs,beef [446] state's,offer [415] offer,test [410] rejected,state's [410] made,up [343] beef,moore [343] moore,county [343] county,highest [343] highest,coronavirus [343] coronavirus,infection Top Word Pairs in Tweet in G7:
[970] killed,uk [485] coronavirus,deaths [485] deaths,today [485] today,italy [485] italy,spain [485] spain,russia [485] russia,china [485] china,turkey [485] turkey,iran [485] iran,canada Top Word Pairs in Tweet in G8:
[231] beef,imports [142] away,china [130] #china,punishing [130] punishing,#australia [130] #australia,demanding [130] demanding,#covid19 [130] #covid19,investigation [130] investigation,cutting [130] cutting,aussie [130] aussie,beef Top Word Pairs in Tweet in G9:
[280] #china,#banyulin [278] 6,21 [278] #dogcatmeattrade,#wetmarkets [278] live,#slaughter [274] 21,#dogcatmeattrade [261] #report,s [245] pls,#report [242] together,#transport [207] #banyulin,6 [200] s,#crucial Top Word Pairs in Tweet in G10:
[367] inquiry,origins [364] australia,calls [364] calls,independent [364] independent,inquiry [364] origins,handling [364] handling,coronavirus [364] coronavirus,china [364] china,makes [364] makes,threats [364] threats,punishes Top Replied-To in Entire Graph:
Top Replied-To in G1:
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:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: