The graph represents a network of 3,807 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 Sunday, 10 November 2019 at 23:10 UTC.
The requested start date was Sunday, 10 November 2019 at 01:01 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 10-day, 17-hour, 38-minute period from Wednesday, 30 October 2019 at 07:01 UTC to Sunday, 10 November 2019 at 00:40 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 : 3807
Unique Edges : 4144
Edges With Duplicates : 1981
Total Edges : 6125
Number of Edge Types : 3
Tweet : 1643
Mentions : 4407
Replies to : 75
Self-Loops : 1643
Reciprocated Vertex Pair Ratio : 0.0313643491897543
Reciprocated Edge Ratio : 0.0608210846426761
Connected Components : 657
Single-Vertex Connected Components : 363
Maximum Vertices in a Connected Component : 2401
Maximum Edges in a Connected Component : 4352
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.91541
Graph Density : 0.000272336229373084
Modularity : 0.616802
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,807 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 Sunday, 10 November 2019 at 23:10 UTC.
The requested start date was Sunday, 10 November 2019 at 01:01 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 10-day, 17-hour, 38-minute period from Wednesday, 30 October 2019 at 07:01 UTC to Sunday, 10 November 2019 at 00:40 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : #foodsafety
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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2153] à,à [673] meat,poultry [668] washing,rinsing [668] rinsing,marinating [668] marinating,meat [668] poultry,saltwater [668] saltwater,lemon [668] lemon,juice [668] juice,vinegar [668] vinegar,destroy Top Word Pairs in Tweet in G1:
[654] washing,rinsing [654] rinsing,marinating [654] marinating,meat [654] meat,poultry [654] poultry,saltwater [654] saltwater,lemon [654] lemon,juice [654] juice,vinegar [654] vinegar,destroy [654] destroy,bacteria Top Word Pairs in Tweet in G2:
[123] food,safety [80] à,à [38] àª,ઠ[20] #foodsafety,#food [19] àª,à [18] new,food [17] #cdc,#foodsafety [16] safety,update [16] update,#cdc [16] #foodchain,#amr Top Word Pairs in Tweet in G3:
[65] food,safety [58] ø,ø [42] ù,ø [28] #foodsafety,news [28] news,share [28] share,published [23] ø,ù [18] ø,_ø [18] ù,øºø [18] øºø,ø Top Word Pairs in Tweet in G4:
[29] largely,unprecedented [29] unprecedented,move [29] move,foodsafetynews [29] foodsafetynews,decided [29] decided,post [29] post,statement [29] statement,related [29] related,stories [29] stories,next [28] cfstruefood,largely Top Word Pairs in Tweet in G5:
[24] join,conversation [24] know,using [24] using,#onehealth [13] forget,sunday [13] sunday,#onehealthday [13] #onehealthday,join [13] conversation,know [12] #onehealth,concept [12] concept,research [12] onehealthejp,forget Top Word Pairs in Tweet in G6:
[44] #foodsafety,#foodsecurity [42] food,bakery [40] ðÿ,ºðÿ [39] à,à [38] ºðÿ,manufactured [34] straight,angled [32] manufactured,usaðÿ [32] usaðÿ,ºðÿ [26] ºðÿ,buy [24] 5,styles Top Word Pairs in Tweet in G7:
[15] food,safety [15] #storyofyourdinner,#foodsafety [14] scares,#halloween [14] #halloween,throughout [14] throughout,year [14] year,taking [14] taking,#foodsafety [14] #foodsafety,seriously [14] seriously,food [14] food,poisoning Top Word Pairs in Tweet in G8:
[28] âž,ï [22] food,safety [22] faowhocodex,ðÿ [19] ðÿ,#codexnews [18] #foodsafety,critical [18] critical,role [18] role,assuring [18] assuring,food [18] food,stays [18] stays,safe Top Word Pairs in Tweet in G9:
[29] biggest,#foodsafety [29] #foodsafety,forum [29] forum,1st [29] 1st,conference [29] conference,private [29] private,sector [25] sector,#aflasafe [25] #aflasafe,manufacturers [24] manufacturers,distributors [23] global,gap Top Word Pairs in Tweet in G10:
[19] please,call [19] cares,#foodsafety [19] #foodsafety,s [19] s,aware [19] aware,usda_aphis [19] usda_aphis,complicity [19] complicity,shipping [19] shipping,horses [19] horses,raised [19] raised,4 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
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:
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: