The graph represents a network of 6,931 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 Thursday, 29 October 2020 at 06:03 UTC.
The requested start date was Thursday, 29 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 10-day, 10-hour, 22-minute period from Sunday, 18 October 2020 at 02:45 UTC to Wednesday, 28 October 2020 at 13:08 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 : 6931
Unique Edges : 5040
Edges With Duplicates : 13513
Total Edges : 18553
Number of Edge Types : 5
Retweet : 5057
MentionsInRetweet : 8882
Tweet : 1431
Mentions : 2949
Replies to : 234
Self-Loops : 1510
Reciprocated Vertex Pair Ratio : 0.0346437880104257
Reciprocated Edge Ratio : 0.0669675658654351
Connected Components : 1062
Single-Vertex Connected Components : 432
Maximum Vertices in a Connected Component : 3321
Maximum Edges in a Connected Component : 11914
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.439934
Graph Density : 0.000198347637389623
Modularity : 0.495709
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,931 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 Thursday, 29 October 2020 at 06:03 UTC.
The requested start date was Thursday, 29 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 10-day, 10-hour, 22-minute period from Sunday, 18 October 2020 at 02:45 UTC to Wednesday, 28 October 2020 at 13:08 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:
[379] food,security [217] distributors,needed [217] needed,buy [217] buy,n800 [217] n800,2kg [217] 2kg,sell [217] sell,n1 [217] n1,000 [217] 000,state [217] state,order Top Word Pairs in Tweet in G1:
[51] #foodsecurity,#nutrition [49] cgiar,convention [49] convention,#bigdatainag [39] offering,glimpse [35] dynamic,#digital [31] global,hunger [30] improve,#foodsecurity [29] #digital,tool [26] smallholder,farmers [25] agile,digital Top Word Pairs in Tweet in G2:
[39] food,security [21] #food,#foodsecurity [15] food,insecurity [11] covid,19 [11] #farming,#foodsecurity [10] #foodsecurity,#foodwaste [10] #agriculture,#farming [9] #foodsecurity,#nutrition [9] read,more [8] climate,change Top Word Pairs in Tweet in G3:
[212] distributors,needed [212] needed,buy [212] buy,n800 [212] n800,2kg [212] 2kg,sell [212] sell,n1 [212] n1,000 [212] 000,state [212] state,order [212] order,minimum Top Word Pairs in Tweet in G4:
[86] #foodsecurity,nutrition [80] seeds,matter [80] matter,sustain [80] sustain,life [80] life,foundation [80] foundation,#foodsecurity [80] nutrition,help [80] help,address [78] fao,seeds [78] address,challe Top Word Pairs in Tweet in G5:
[51] #climatecrisis,undermines [51] undermines,#foodsecurity [43] davidlwindt,#climatecrisis [31] latest,example [31] example,mega [31] mega,thread [31] thread,showing [31] showing,#climatecrisis [31] #climatecrisis,impacts [31] impacts,#foodsecurity Top Word Pairs in Tweet in G6:
[172] nityarao63,pradan_india [172] pradan_india,shailajafennell [172] shailajafennell,gramvaani [172] gramvaani,undataforum [172] undataforum,icrisat [172] icrisat,arvindpadhee [172] arvindpadhee,surajundp [172] surajundp,tigr2ess [170] kissfoundation,nityarao63 [170] tigr2ess,cambri Top Word Pairs in Tweet in G7:
[18] price,dynamics [15] food,security [15] food,retail [15] retail,price [15] dynamics,during [14] marc,wegerif [13] dr,marc [12] #foodsecurity,programme [12] programme,continues [12] continues,robega Top Word Pairs in Tweet in G8:
[46] #soil,health [46] health,climate [46] climate,change [46] change,intrinsically [46] intrinsically,linked [46] linked,conserving [46] conserving,improving [46] improving,carbon [46] carbon,soil [46] soil,use Top Word Pairs in Tweet in G9:
[64] irrigation,scheme [60] mwea,irrigation [34] thiba,dam [20] #foodsecurity,#big4agenda [16] food,security [15] kirinyaga,county [15] under,mwea [13] irrigation_auth,thiba [13] supply,water [13] water,mwea Top Word Pairs in Tweet in G10:
[31] #machinelearning,#ai [31] #ai,food [31] food,industry [31] industry,solutions [31] solutions,potential [31] potential,#bigdata [31] #bigdata,#datascience [29] kirkdborne,#machinelearning [28] #datascience,# [13] global,food Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: