The graph represents a network of 4,196 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 Monday, 01 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, 8-hour, 22-minute period from Thursday, 21 March 2019 at 04:49 UTC to Sunday, 31 March 2019 at 13:12 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 : 4196
Unique Edges : 6926
Edges With Duplicates : 3191
Total Edges : 10117
Number of Edge Types : 3
Mentions : 9641
Replies to : 126
Tweet : 350
Self-Loops : 350
Reciprocated Vertex Pair Ratio : 0.0150245977928467
Reciprocated Edge Ratio : 0.0296044013623264
Connected Components : 143
Single-Vertex Connected Components : 82
Maximum Vertices in a Connected Component : 3830
Maximum Edges in a Connected Component : 9738
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.934792
Graph Density : 0.000433695295252531
Modularity : 0.499329
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1110] world,s [1045] s,pop [693] report,worldbank [687] 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 [150] 2019,#sdgsandher [141] report,worldbank [140] s,pop [131] achieve,development [131] development,goals [131] goals,need [131] need,new [131] new,generation [131] generation,infrastructure Top Word Pairs in Tweet in G2:
[821] world,s [797] s,pop [460] worldbank,worldresources [420] water,scarcity [399] pop,lives [399] lives,w [399] nearly,20 [398] nearly,half [398] half,world [398] w,water Top Word Pairs in Tweet in G3:
[179] worldbank,worldresources [157] #greenandgray,infrastructure [144] report,worldbank [115] mount,kenya [100] world,s [94] s,pop [84] secure,land [82] triple,win [79] global,campaign [74] land,rights Top Word Pairs in Tweet in G4:
[18] g7,g8 [9] worldbank,imfnews [9] sirneobranson,nsagov [9] nsagov,bbcworld [9] bbcworld,cyber [9] cyber,defenseintel [9] defenseintel,icegov [9] icegov,forbestech [9] forbestech,g7 [9] g8,avengers Top Word Pairs in Tweet in G5:
[29] winners,2019 [26] 2019,#sdgsandher [26] #sdgsandher,competition [24] vandana,suri [23] saida,yusupova [15] world,bank [15] worldbank,worldresources [14] suri,owner [14] owner,taxshe [14] taxshe,india 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:
[18] 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:
Top Replied-To in G1:
Top Replied-To in G2:
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 G9:
Top Replied-To in G10:
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: