The graph represents a network of 4,187 Twitter users whose recent tweets contained "#FoodWaste", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 14 August 2019 at 14:18 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 33-minute period from Monday, 05 August 2019 at 14:30 UTC to Wednesday, 14 August 2019 at 14:04 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 : 4187
Unique Edges : 6086
Edges With Duplicates : 1169
Total Edges : 7255
Self-Loops : 953
Reciprocated Vertex Pair Ratio : 0.0299107923736225
Reciprocated Edge Ratio : 0.0580842391304348
Connected Components : 690
Single-Vertex Connected Components : 350
Maximum Vertices in a Connected Component : 2386
Maximum Edges in a Connected Component : 4601
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.290882
Graph Density : 0.000335943015665968
Modularity : 0.784737
NodeXL Version : 1.0.1.418
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1228] food,waste [803] #foodwaste,#zerohunger [768] waste,food [748] litres,water [744] went,producing [743] 70,litres [743] water,produce [743] apple,waste [743] resources,went [742] producing,#foodwaste Top Word Pairs in Tweet in G1:
[746] #foodwaste,#zerohunger [730] food,waste [725] takes,70 [725] 70,litres [725] litres,water [725] water,produce [725] produce,one [725] one,apple [725] apple,waste [725] waste,food Top Word Pairs in Tweet in G2:
[85] food,waste [16] reduce,#foodwaste [16] climate,change [14] #sustainability,#climatechange [13] composting,101 [13] 101,tips [13] tips,everyday [13] everyday,composting [13] composting,home [13] home,#composting Top Word Pairs in Tweet in G3:
[52] ipcc_ch,report [41] meat,consumption [40] reduce,greenhouse [40] greenhouse,gas [38] https,t [38] t,co [30] ipcc_ch's,new [30] new,#climatechange [30] #climatechange,report [30] report,sectors Top Word Pairs in Tweet in G4:
[17] fighting,#foodwaste [16] fight,#foodwaste [16] mettelykke,ceo [14] reducing,#foodwaste [12] reduce,#foodwaste [12] thanks,fighting [12] woman,sold [12] sold,fitness [12] fitness,app [12] app,85 Top Word Pairs in Tweet in G5:
[55] food,waste [21] rise,up [19] food,supply [18] up,against [17] supply,chain [16] join,#guardiansofgrub [15] entire,food [15] food,rise [15] reduce,#foodwaste [14] food,before Top Word Pairs in Tweet in G6:
[82] ट,ब [82] ब,क [58] र,ट [52] भ,ख [52] क,ई [42] #र,ट [42] य,क [41] क,#rotibank [41] क,क [41] क,सपन Top Word Pairs in Tweet in G7:
[78] reduce,#foodwaste [78] #foodwaste,#tomatoes [78] #tomatoes,field [78] field,table [78] table,25 [78] 25,baby [78] baby,plum [78] plum,varieties [78] varieties,compared [78] compared,conventional Top Word Pairs in Tweet in G8:
[22] local,community [16] find,out [15] fareshareuk,ceo [12] more,here [12] help,local [12] community,planet [12] planet,#volunteering [12] #volunteering,fareshareuk [12] fareshareuk,opportunity [12] opportunity,help Top Word Pairs in Tweet in G9:
[25] #wastenotwantnot,scheme [23] #community,#oswestry [23] #oswestry,#shropshire [23] first,#wastenotwantnot [22] ben,tom [20] free,meals [20] #community,kitchen [18] surplus,food [16] tom,#foodwaste [15] #foodwaste,#community Top Word Pairs in Tweet in G10:
[22] food,waste [17] #vegan,#mediterraneandiet [17] #2030agenda,#sdgs [17] #sdgs,#beatncds [17] #beatncds,#foodwaste [17] #foodwaste,#nutrition [17] #nutrition,#futureoffood [17] #futureoffood,#zerohunger [17] #hambrecero,#evoo [17] #evoo,#aove Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: