The graph represents a network of 3,811 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 Monday, 09 December 2019 at 00:33 UTC.
The requested start date was Sunday, 08 December 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 12-day, 14-hour, 35-minute period from Monday, 25 November 2019 at 10:21 UTC to Sunday, 08 December 2019 at 00:57 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 : 3811
Unique Edges : 4194
Edges With Duplicates : 2140
Total Edges : 6334
Number of Edge Types : 3
Mentions : 4305
Tweet : 1950
Replies to : 79
Self-Loops : 1950
Reciprocated Vertex Pair Ratio : 0.021559755123769
Reciprocated Edge Ratio : 0.0422094841063054
Connected Components : 873
Single-Vertex Connected Components : 504
Maximum Vertices in a Connected Component : 1893
Maximum Edges in a Connected Component : 3580
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.415731
Graph Density : 0.000264326707259205
Modularity : 0.633196
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,811 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 Monday, 09 December 2019 at 00:33 UTC.
The requested start date was Sunday, 08 December 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 12-day, 14-hour, 35-minute period from Monday, 25 November 2019 at 10:21 UTC to Sunday, 08 December 2019 at 00:57 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[639] food,safety [157] ø,ø [153] ù,ø [148] ø,ù [126] foodborne,illness [122] make,sure [107] #thanksgiving,leftovers [100] don,forget [97] food,safe [94] dr,mindy Top Word Pairs in Tweet in G1:
[110] food,safety [93] #thanksgiving,leftovers [91] dr,mindy [91] mindy,brashears [90] brashears,deputy [76] don,forget [75] foodborne,illness [72] those,#thanksgiving [67] deputy,under [67] under,secretary Top Word Pairs in Tweet in G2:
[156] food,safety [42] ø,ø [32] ø,ù [27] ù,ø [26] make,sure [25] #foodsafety,#aqta [25] #aqta,#afsa [23] thanksgiving,leftovers [22] #leftovers,#foodsafety [21] #thanksgivingleftovers,#leftovers Top Word Pairs in Tweet in G3:
[75] over,next [75] next,years [74] work,over [74] years,guided [74] guided,determination [74] determination,improve [74] improve,protect [74] protect,well [74] well,being [74] being,#citizens Top Word Pairs in Tweet in G4:
[25] food,safety [13] #foodsecurity,#foodsafety [13] #foodsafety,#foodsecurity [11] #foodsafety,#foodindustry [10] practice,#foodsafety [10] #foodsafety,everyday [9] #foodsafety,#foodtrade [9] pomilly1,pomilly [9] more,details [9] submit,abstract Top Word Pairs in Tweet in G5:
[37] food,safety [24] ø,ø [22] #food,#foodsafety [22] ù,ø [17] #foodsafety,#safefood [17] #safefood,#foodindia [16] foodsafetytech,#foodsafety [14] cultivation,management [12] tech,#foodfraud [12] #foodfraud,#adulteration Top Word Pairs in Tweet in G6:
[35] food,safety [7] romaine,lettuce [7] safety,inspection [7] #voicesofthevalley,podcast [7] podcast,#technology [7] #technology,#foodsafety [7] #foodsafety,part [7] part,growershipper [7] growershipper,wg_cit [7] wg_cit,westerngrowers Top Word Pairs in Tweet in G7:
[8] always,check [8] check,packaged [8] packaged,food [8] food,label [8] label,mrp [8] mrp,expiry [8] expiry,date [8] date,smart [8] smart,buy [8] buy,smart Top Word Pairs in Tweet in G8:
[27] rules,based [27] based,international [27] international,trade [27] trade,key [27] key,control [27] control,prevent [27] prevent,pests [27] pests,weeds [27] weeds,disease [27] disease,causing Top Word Pairs in Tweet in G9:
[16] learn,more [13] #foodsafety,tips [11] food,safety [8] follow,along [8] along,rest [7] rest,feast [7] feast,#mrfimpacts [7] raw,poultry [6] #foodsafety,research [6] #mrfimpacts,#thanksgiving2019 Top Word Pairs in Tweet in G10:
[13] cinque,regole [13] oms,formare [13] formare,tutti [13] tutti,coloro [13] coloro,devono [13] devono,manipolare [13] manipolare,gli [13] gli,#alimenti [13] #alimenti,dal [13] dal,campo Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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 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: