The graph represents a network of 3,558 Twitter users whose tweets in the requested range contained "#foodsafety", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 04 July 2019 at 08:06 UTC.
The requested start date was Thursday, 04 July 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 11-day, 18-hour, 12-minute period from Friday, 21 June 2019 at 16:48 UTC to Wednesday, 03 July 2019 at 11:00 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 : 3558
Unique Edges : 4213
Edges With Duplicates : 2350
Total Edges : 6563
Number of Edge Types : 3
Mentions : 4469
Tweet : 1972
Replies to : 122
Self-Loops : 1972
Reciprocated Vertex Pair Ratio : 0.0278142219889793
Reciprocated Edge Ratio : 0.0541230533571611
Connected Components : 753
Single-Vertex Connected Components : 453
Maximum Vertices in a Connected Component : 2222
Maximum Edges in a Connected Component : 4750
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.291591
Graph Density : 0.000309502215820944
Modularity : 0.582323
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[593] food,safety [221] make,sure [98] don,t [82] learn,more [82] check,out [72] sure,follow [71] five,keys [69] follow,core [69] core,messages [69] messages,five Top Word Pairs in Tweet in G1:
[73] food,safety [25] #amr,#foodsafety [23] #foodchain,#amr [18] #foodsafety,#food [16] make,sure [14] find,out [13] walmart,china [12] learn,more [12] labelling,food [12] eu,#foodsafety Top Word Pairs in Tweet in G2:
[167] food,safety [35] supply,chain [31] safety,consortium [28] 2019,food [22] safety,tech [19] #foodtech,#foodsafety [18] #foodsafety,#sapbusinessone [18] #sapbusinessone,#erp [17] iconic,podcast [17] podcast,series Top Word Pairs in Tweet in G3:
[65] make,sure [63] sure,follow [63] follow,core [63] core,messages [63] messages,five [63] five,keys [50] #foodsafety,#foodtrade [45] foodborne,diseases [40] diseases,preventable [40] preventable,everyone Top Word Pairs in Tweet in G4:
[48] make,sure [37] don,t [34] #foodsafety,tip [32] tip,don [32] t,become [32] become,repeat [32] repeat,offender [32] offender,use [32] use,marinade [32] marinade,sauce Top Word Pairs in Tweet in G5:
[20] main,research [20] research,needs [20] needs,priorities [20] priorities,support [20] support,#foodsafety [20] #foodsafety,risk [20] risk,assessment [20] assessment,2030 [20] 2030,read [20] read,editorial Top Word Pairs in Tweet in G6:
[22] food,buy [18] heat,s [18] s,officially [18] officially,#bbq [18] #bbq,weather [18] weather,re [18] re,charge [18] charge,grill [18] grill,weekend [14] weekend,brush Top Word Pairs in Tweet in G7:
[42] make,sure [21] food,thermometer [16] grilling,make [16] sure,use [16] use,food [16] thermometer,color [16] color,texture [16] texture,won [16] won,t [16] t,tell Top Word Pairs in Tweet in G8:
[25] food,safety [18] safety,requires [18] requires,participatory [18] participatory,approach [18] approach,production [18] production,consumption [18] consumption,safeguarding [18] safeguarding,food [18] food,shared [17] irrihub,food Top Word Pairs in Tweet in G9:
[12] food,safety [7] eat,fruit [7] fruit,salads [7] salads,mixes [7] mixes,include [7] include,papayas [7] papayas,mexico [7] mexico,#foodsafety [7] #foodsafety,#texasdepartmentofagriculture [6] #globalgap,#agriculture Top Word Pairs in Tweet in G10:
[26] #foodsafety,culture [15] natasha's,law [15] law,parents [15] parents,'delighted' [15] 'delighted',legislation [15] legislation,prevent [15] prevent,more [15] more,food [15] food,allergy [15] allergy,deaths Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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