The graph represents a network of 3,224 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 Saturday, 25 May 2019 at 08:05 UTC.
The requested start date was Thursday, 23 May 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 12-day, 12-hour, 58-minute period from Friday, 10 May 2019 at 11:00 UTC to Wednesday, 22 May 2019 at 23:59 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 : 3224
Unique Edges : 3949
Edges With Duplicates : 2513
Total Edges : 6462
Number of Edge Types : 3
Mentions : 4394
Tweet : 1980
Replies to : 88
Self-Loops : 1980
Reciprocated Vertex Pair Ratio : 0.0341250341250341
Reciprocated Edge Ratio : 0.0659978880675818
Connected Components : 592
Single-Vertex Connected Components : 376
Maximum Vertices in a Connected Component : 2077
Maximum Edges in a Connected Component : 4914
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.126092
Graph Density : 0.000364547925926325
Modularity : 0.557392
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[545] food,safety [103] fao,food [94] learn,more [81] https,t [81] t,co [69] food,food [67] whole,genome [67] genome,sequencing [64] food,labels [63] find,out Top Word Pairs in Tweet in G1:
[184] food,safety [39] #foodsafety,news [39] news,share [39] share,published [34] #codex,committee [33] #foodsafety,#foodtrade [25] faowhocodex,#ccfl45 [24] learn,more [22] #foodsafety,food [20] food,labelling Top Word Pairs in Tweet in G2:
[93] food,safety [14] #food,#foodsafety [14] #təhlükəsizqida,#foodsafety [14] #foodsafety,#aqta [14] #aqta,#afsa [13] check,out [12] find,out [11] #foodsafety,#foodsecurity [10] learn,more [10] #foodsafety,#food Top Word Pairs in Tweet in G3:
[94] fao,food [56] food,food [56] food,needs [56] needs,safe [56] safe,whole [56] whole,genome [56] genome,sequencing [56] sequencing,helping [56] helping,decode [56] decode,risks Top Word Pairs in Tweet in G4:
[43] #foodsafety,#foodquality [31] exhibition,hall [31] learn,more [28] next,month [26] look,forward [25] hall,june [24] june,4th [21] 4th,5th [21] #foodquality,executives [20] looking,learn Top Word Pairs in Tweet in G5:
[27] live,#bbblockchain [23] brubriefings,live [19] erik,árokszállási [19] árokszállási,ceo [19] ceo,te_food [15] #bbblockchain,sander [15] sander,govers [15] govers,moyeecoffee [15] moyeecoffee,great [15] great,divide Top Word Pairs in Tweet in G6:
[24] food,safety [9] find,out [6] cases,linked [6] e,coli [6] #foodsafety,#cdc [6] restaurant,workers [6] workers,vaccinated [6] virus,#foodsafety [6] food,industry [6] happens,hen Top Word Pairs in Tweet in G7:
[17] #communication,tools [17] tools,sufficiently [17] sufficiently,accessible [17] accessible,useful [17] useful,relevant [17] relevant,those [17] those,interested [17] interested,#health [16] eu_health,#communication [16] #health,#foodsa Top Word Pairs in Tweet in G8:
[10] know,silver [10] silver,leaf [10] leaf,known [10] known,chandi [10] chandi,ka [10] ka,warq [10] warq,used [10] used,decorate [10] decorate,paan [10] paan,sweets Top Word Pairs in Tweet in G9:
[10] #foodsafety,inspection [9] food,safety [7] livestock,produce [7] produce,farmers [7] farmers,invited [7] invited,discuss [7] discuss,#foodsafety [7] #foodsafety,june [7] june,11 [7] 11,ucanrdrec Top Word Pairs in Tweet in G10:
[25] consumers,beware [25] beware,intensive [25] intensive,testing [25] testing,vegetable [25] vegetable,samples [25] samples,city [25] city,food [25] food,markets [25] markets,two [25] two,major 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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