The graph represents a network of 4,210 Twitter users whose tweets in the requested range contained "Worldbank (environment OR climate OR warming OR ecological OR planet OR global)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 02 April 2019 at 03:29 UTC.
The requested start date was Monday, 01 April 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 10-day, 13-hour, 33-minute period from Thursday, 21 March 2019 at 10:22 UTC to Sunday, 31 March 2019 at 23:56 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 : 4210
Unique Edges : 6998
Edges With Duplicates : 3209
Total Edges : 10207
Number of Edge Types : 3
Mentions : 9738
Replies to : 125
Tweet : 344
Self-Loops : 344
Reciprocated Vertex Pair Ratio : 0.0149960536700868
Reciprocated Edge Ratio : 0.0295489891135303
Connected Components : 143
Single-Vertex Connected Components : 83
Maximum Vertices in a Connected Component : 3849
Maximum Edges in a Connected Component : 9835
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.928625
Graph Density : 0.000435442883674786
Modularity : 0.497455
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1110] world,s [1045] s,pop [730] report,worldbank [722] worldbank,worldresources [546] water,scarcity [524] nearly,20 [523] pop,lives [523] lives,w [523] 2050,nearly [523] 20,world Top Word Pairs in Tweet in G1:
[164] world,s [154] 2019,#sdgsandher [143] report,worldbank [140] s,pop [133] green,business [133] business,innovation [133] achieve,development [133] development,goals [133] goals,need [133] need,new Top Word Pairs in Tweet in G2:
[825] world,s [801] s,pop [498] worldbank,worldresources [422] water,scarcity [417] report,worldbank [406] joint,report [401] pop,lives [401] lives,w [401] nearly,20 [400] nearly,half Top Word Pairs in Tweet in G3:
[181] worldbank,worldresources [157] #greenandgray,infrastructure [146] report,worldbank [110] mount,kenya [98] world,s [92] s,pop [91] land,rights [86] secure,land [82] triple,win [79] global,campaign Top Word Pairs in Tweet in G4:
[18] g7,g8 [9] sirneobranson,nsagov [9] nsagov,bbcworld [9] bbcworld,cyber [9] cyber,defenseintel [9] defenseintel,icegov [9] icegov,forbestech [9] forbestech,g7 [9] g8,avengers [9] avengers,ukenyatta Top Word Pairs in Tweet in G5:
[29] winners,2019 [28] 2019,#sdgsandher [28] #sdgsandher,competition [24] vandana,suri [22] saida,yusupova [16] فقد,العالم [16] العالم,في [16] في,الفترة [16] الفترة,من [16] من,2001 Top Word Pairs in Tweet in G6:
[50] increasing,#women [50] #women,s [50] s,participation [50] participation,#communityforestmanagement [50] #communityforestmanagement,groups [50] groups,led [50] led,improved [50] improved,#forest [50] #forest,conservation [49] hartwigschafer,increasing Top Word Pairs in Tweet in G7:
[29] ल,ए [28] क,ल [25] uninhindi,antonioguterres [24] billgates,uninhindi [24] antonioguterres,un_women [24] un_women,nobelprize [24] nobelprize,ungeneva [24] ungeneva,unicef [24] unicef,unenvironment [24] unenvironment,bmgfindia Top Word Pairs in Tweet in G8:
[19] climate,change [11] integrating,green [10] putting,nature [10] nature,work [10] green,gray [10] climate,resilience [9] work,integrating [9] gray,infrastructure [9] infrastructure,water [9] water,security Top Word Pairs in Tweet in G10:
[2] lyndamathews25,danbalkwill1 [2] danbalkwill1,canadian_chris_ [2] canadian_chris_,lashawner951 [2] lashawner951,haveweallgonem1 [2] haveweallgonem1,realed_flint [2] realed_flint,kenster0007 [2] kenster0007,brentdgls 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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