The graph represents a network of 6,903 Twitter users whose recent tweets contained "covid19 OR covid OR covidー19 OR covid_19 OR coronavirus (geocode:54.922332,-2.471436,800km OR 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 16:47 UTC.
The tweets in the network were tweeted over the 8-day, 11-hour, 22-minute period from Wednesday, 06 May 2020 at 05:02 UTC to Thursday, 14 May 2020 at 16:24 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 : 6903
Unique Edges : 8123
Edges With Duplicates : 968
Total Edges : 9091
Self-Loops : 1442
Reciprocated Vertex Pair Ratio : 0.00638847356259345
Reciprocated Edge Ratio : 0.0126958400864398
Connected Components : 1098
Single-Vertex Connected Components : 637
Maximum Vertices in a Connected Component : 4447
Maximum Edges in a Connected Component : 6245
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.645162
Graph Density : 0.000155400918628477
Modularity : 0.820845
NodeXL Version : 1.0.1.432
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=226723
Data Import : The graph represents a network of 6,903 Twitter users whose recent tweets contained "covid19 OR covid OR covidー19 OR covid_19 OR coronavirus (geocode:54.922332,-2.471436,800km OR 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 16:47 UTC.
The tweets in the network were tweeted over the 8-day, 11-hour, 22-minute period from Wednesday, 06 May 2020 at 05:02 UTC to Thursday, 14 May 2020 at 16:24 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 (geocode:54.922332,-2.471436,800km OR 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:
[1342] covid,19 [621] one,factory [597] factory,closed [593] due,covid19 [591] during,lockdown [590] covid19,outbreak [590] safe,work [588] down,due [587] food,factories [587] factories,staff Top Word Pairs in Tweet in G1:
[157] covid,19 [77] elon,musk [63] tesla,factory [60] meat,plants [55] vows,move [55] move,tesla [55] lockdown,row [54] coronavirus,elon [54] musk,vows [54] factory,lockdown Top Word Pairs in Tweet in G2:
[582] due,covid19 [576] food,factories [576] factories,staff [576] staff,producing [576] producing,food [576] food,uk [576] uk,during [576] during,lockdown [576] lockdown,many [576] many,back Top Word Pairs in Tweet in G3:
[121] meat,plants [106] further,pandemics [104] factory,farming [93] u,s [93] s,meat [85] infections,near [85] near,u [85] plants,rise [85] rise,twice [85] twice,national Top Word Pairs in Tweet in G4:
[326] elon,musk [326] move,tesla [325] musk,vows [325] vows,move [325] tesla,headquarters [325] headquarters,out [325] out,california [325] california,ordered [325] ordered,keep [325] keep,factory Top Word Pairs in Tweet in G5:
[54] working,class [52] class,lambs [51] announces,next [51] next,phase [51] slaughter,#prerecorded [40] covid,19 [39] go,work [37] work,home [36] forgive,knows [36] knows,now Top Word Pairs in Tweet in G6:
[236] 4,days [151] now,1 [151] 1,340 [151] 340,confirmed [151] confirmed,covid [151] covid,19 [151] 19,cases [151] cases,23 [151] 23,meat [151] meat,processing Top Word Pairs in Tweet in G7:
[121] rapid,review [108] covid,19 [63] meat,factories [62] crowdsourcing,new [62] new,rapid [62] review,occupational [62] occupational,risk [62] risk,covid [62] 19,abattoirs [62] abattoirs,slaughterhouses Top Word Pairs in Tweet in G8:
[182] one,coronavirus [182] coronavirus,patient [182] patient,infected [182] infected,533 [182] 533,people [182] people,fish [182] fish,factory [182] factory,ghana Top Word Pairs in Tweet in G9:
[77] meat,plants [58] meat,free [58] free,future [58] future,coronavirus [58] coronavirus,exposes [58] exposes,america's [58] america's,fragile [58] fragile,food [58] food,system [51] covid,19 Top Word Pairs in Tweet in G10:
[130] covid,19 [122] female,worker [122] worker,moy [122] moy,park's [122] park's,dungannon [122] dungannon,poultry [122] poultry,processing [122] processing,factory [122] factory,died [122] died,covid 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 G5:
Top Replied-To in G7:
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 G5:
Top Mentioned in G7:
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: