The graph represents a network of 3,849 Twitter users whose tweets in the requested range contained "FoodSecurity", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 21 February 2020 at 16:12 UTC.
The requested start date was Friday, 21 February 2020 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 7-day, 23-hour, 58-minute period from Wednesday, 12 February 2020 at 16:32 UTC to Thursday, 20 February 2020 at 16:30 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 : 3849
Unique Edges : 5623
Edges With Duplicates : 1736
Total Edges : 7359
Number of Edge Types : 4
MentionsInRetweet : 5374
Tweet : 633
Replies to : 89
Mentions : 1263
Self-Loops : 633
Reciprocated Vertex Pair Ratio : 0.0226833128187093
Reciprocated Edge Ratio : 0.0443603851444292
Connected Components : 136
Single-Vertex Connected Components : 31
Maximum Vertices in a Connected Component : 3259
Maximum Edges in a Connected Component : 6627
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.828189
Graph Density : 0.000392682388005849
Modularity : 0.648653
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 3,849 Twitter users whose tweets in the requested range contained "FoodSecurity", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 21 February 2020 at 16:12 UTC.
The requested start date was Friday, 21 February 2020 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 7-day, 23-hour, 58-minute period from Wednesday, 12 February 2020 at 16:32 UTC to Thursday, 20 February 2020 at 16:30 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 : FoodSecurity
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:
[188] #food,#foodsecurity [176] east,africa [168] food,secure [164] #foodsecurity,#climatechange [163] secure,country [161] #dubai,#expolive [160] world,food [158] uae,set [158] set,become [158] become,world Top Word Pairs in Tweet in G1:
[77] food,security [34] food,waste [32] #nutrition,#foodsecurity [23] food,insecurity [21] #foodsecurity,#permaculture [19] learn,more [18] #climatechange,#foodsecurity [16] #food,#foodsecurity [15] address,threats [15] #coronavirus,outbreak Top Word Pairs in Tweet in G2:
[93] need,know [90] desert,locusts [89] locusts,fly [89] fly,150km [89] 150km,day [89] day,destroying [89] destroying,crops [89] crops,livelihoods [89] livelihoods,key [89] key,facts Top Word Pairs in Tweet in G3:
[157] #dubai,#expolive [154] uae,set [154] set,become [154] become,world [154] world,food [154] food,secure [154] secure,country [154] country,2071 [154] 2071,nanoclay [154] nanoclay,technology Top Word Pairs in Tweet in G4:
[49] #foodsecurity,#permaculture [36] #garden2020,gardenize16 [36] gardenize16,app [36] app,#foodsecurity [33] #permaculture,#growyourownfood [29] heap_1,adding [24] #growyourownfood,#gardenshour [17] #food,#foodsecurity [16] goat,hoof [16] hoof,trimming Top Word Pairs in Tweet in G5:
[136] locust,invasion [136] invasion,east [136] east,africa [136] africa,india [136] india,#locust [136] #locust,#kenya [136] #kenya,#somalia [136] #somalia,#food [136] #food,#foodsecurity [136] #foodsecurity,#climatechange Top Word Pairs in Tweet in G6:
[138] kitgum,residents [138] residents,turn [138] turn,invading [138] invading,#locusts [138] #locusts,food [138] food,come [138] come,caught [138] caught,boiled [138] boiled,dried [138] dried,fried Top Word Pairs in Tweet in G7:
[17] blockchain,save [17] save,tuna [17] tuna,populations [17] populations,collapse [17] collapse,wef [17] wef,#blockchain [17] #blockchain,#smartphones [17] #smartphones,#technology [17] #technology,#iot [17] #iot,#5g Top Word Pairs in Tweet in G8:
[76] scientia,issue [76] issue,#129 [76] #129,read [76] read,#scientists [76] #scientists,#farmers [76] #farmers,working [76] working,together [76] together,achieve [76] achieve,#agricultural [75] scientia_social,scientia Top Word Pairs in Tweet in G9:
[33] uk,wheat [33] wheat,oilseed [33] oilseed,rape [33] rape,cropping [33] cropping,area [33] area,revised [33] revised,sharply [33] sharply,down [33] down,due [33] due,relentless Top Word Pairs in Tweet in G10:
[37] soilless,farming [30] farm,lab [29] learn,farm [29] farm,tech [29] tech,soilless [29] soilless,farm [29] lab,bootcamp [29] bootcamp,teach [29] teach,soilless [29] farming,techniques Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G7:
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: