The graph represents a network of 42 Twitter users whose recent tweets contained "#foodcrime", 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, 17 August 2019 at 16:45 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 6-minute period from Thursday, 08 August 2019 at 17:33 UTC to Friday, 16 August 2019 at 23:40 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 : 42
Unique Edges : 52
Edges With Duplicates : 2
Total Edges : 54
Self-Loops : 10
Reciprocated Vertex Pair Ratio : 0.0232558139534884
Reciprocated Edge Ratio : 0.0454545454545455
Connected Components : 14
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 20
Maximum Edges in a Connected Component : 33
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.299559
Graph Density : 0.0255516840882695
Modularity : 0.666238
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[6] #foodfraud,#foodcrime [4] food,fraud [3] really,good [3] good,workshop [3] workshop,today [3] today,talented [3] talented,analysts [3] analysts,brainstorming [3] brainstorming,#foodcrime [3] #foodcrime,risks Top Word Pairs in Tweet in G1:
[3] one,arrested [3] arrested,part [3] part,lengthy [3] lengthy,investigation [3] investigation,theft [3] theft,slaughter [3] slaughter,illegal [3] illegal,butchery [3] butchery,sheep [3] sheep,west Top Word Pairs in Tweet in G2:
[2] fake,#saffron [2] #saffron,found [2] found,#westsussex [2] #westsussex,led [2] led,huge [2] huge,amount [2] amount,adulterated [2] adulterated,saffron [2] saffron,traced [2] traced,factory Top Word Pairs in Tweet in G3:
[2] really,good [2] good,workshop [2] workshop,today [2] today,talented [2] talented,analysts [2] analysts,brainstorming [2] brainstorming,#foodcrime [2] #foodcrime,risks [2] risks,pose [2] pose,pose Top Word Pairs in Tweet in G4:
[2] great,one [2] one,key [2] key,stakeholders [2] stakeholders,fsa's [2] fsa's,foodgov [2] foodgov,nfcu [2] nfcu,here [2] here,today [2] today,lgcgroup [2] lgcgroup,learn Top Word Pairs in Tweet in G5:
[4] #foodfraud,#foodcrime [3] organised,crime [3] crime,gangs [3] gangs,drive [3] drive,rise [3] rise,food [3] food,fraud [3] fraud,thetimes [3] thetimes,#foodfraud Top Word Pairs in Tweet in G8:
[2] arrest,person [2] person,created [2] created,horrendous [2] horrendous,thing [2] thing,2 [2] 2,year [2] year,diet [2] diet,prison [2] prison,loaf [2] loaf,fix Top Replied-To in Entire Graph:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
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: