The graph represents a network of 204 Twitter users whose recent tweets contained "#foodfraud", 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 14:05 UTC.
The tweets in the network were tweeted over the 9-day, 10-hour, 42-minute period from Thursday, 08 August 2019 at 02:38 UTC to Saturday, 17 August 2019 at 13:20 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 : 204
Unique Edges : 293
Edges With Duplicates : 114
Total Edges : 407
Self-Loops : 73
Reciprocated Vertex Pair Ratio : 0.043010752688172
Reciprocated Edge Ratio : 0.0824742268041237
Connected Components : 34
Single-Vertex Connected Components : 23
Maximum Vertices in a Connected Component : 154
Maximum Edges in a Connected Component : 352
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.584838
Graph Density : 0.00702694871051869
Modularity : 0.60194
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[82] food,fraud [37] organic,food [36] organised,crime [36] crime,gangs [36] gangs,drive [36] drive,rise [36] rise,food [29] fraud,saying [29] saying,quite [29] quite,few Top Word Pairs in Tweet in G1:
[34] food,fraud [27] organic,food [22] organised,crime [22] crime,gangs [22] gangs,drive [22] drive,rise [22] rise,food [22] fraud,saying [22] saying,quite [22] quite,few Top Word Pairs in Tweet in G2:
[11] food,fraud [4] food,beverage [3] #foodfraud,#foodsafety [3] love_duketown,helps [3] helps,#wethepeople [3] #drugtrafficking,#organisedcrime [3] #organisedcrime,#cybercrime [3] #cybercrime,#moneylaundering [3] #moneylaundering,#foodfraud [2] food,safety Top Word Pairs in Tweet in G3:
[13] food,fraud [5] organic,food [4] starting,tackle [4] tackle,food [4] fraud,africa [4] africa,ucc [4] ucc,ghana [4] ghana,qubigfs [4] qubigfs,working [4] working,partnership Top Word Pairs in Tweet in G4:
[8] food,fraud [5] organised,crime [5] crime,gangs [5] gangs,drive [5] drive,rise [5] rise,food [4] #foodfraud,fears [4] fears,drive [4] drive,consumers [4] consumers,brand Top Word Pairs in Tweet in G5:
[13] food,fraud [5] #foodfraud,#organic [4] largest,organic [4] ibm,s [4] s,ai [4] ai,assisted [4] assisted,e [4] e,tongue [4] tongue,fight [4] fight,food Top Word Pairs in Tweet in G6:
[9] now,see [9] see,govts [9] govts,different [9] different,countries [9] countries,working [9] working,together [9] together,find [9] find,stop [9] stop,#foodfraud [9] #foodfraud,uk Top Word Pairs in Tweet in G7:
[11] #foodfraud,#detection [10] #frauddetection2go,#aoac2019am [7] #detection,van [7] van,arrived [7] arrived,first [7] first,device [7] device,learn [7] learn,click [7] click,link [7] link,#frauddetection2go Top Word Pairs in Tweet in G8:
[6] west,sussex [3] #foodfraud,discovery [3] discovery,west [3] sussex,#tradingstandards [3] #tradingstandards,officers [3] officers,leads [3] leads,seizure [3] seizure,up [3] up,750 [3] 750,000 Top Word Pairs in Tweet in G9:
[5] food,products [3] j,various [3] underfilled,gt [3] gt,#foodfraud [3] foodfocussa,travelwrite1 [3] travelwrite1,katcapetown [3] katcapetown,npa_prosecutes [3] informative,piece [3] piece,mitas [3] mitas,corporation Top Word Pairs in Tweet in G10:
[4] stay,alert [4] alert,informed [4] informed,learn [4] learn,more [4] more,#foodfraud [2] order,battle [2] battle,#foodfraud [2] #foodfraud,perkinelmer's [2] perkinelmer's,greg [2] greg,sears Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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: