The graph represents a network of 3,073 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, 19 December 2022 at 18:34 UTC.
The requested start date was Monday, 19 December 2022 at 01:01 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 9-day, 8-hour, 25-minute period from Friday, 09 December 2022 at 13:38 UTC to Sunday, 18 December 2022 at 22:03 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 : 3073
Unique Edges : 2624
Edges With Duplicates : 19866
Total Edges : 22490
Number of Edge Types : 5
Retweet : 6583
MentionsInRetweet : 11211
Mentions : 4092
Replies to : 212
Tweet : 392
Self-Loops : 471
Reciprocated Vertex Pair Ratio : 0.0179278230500582
Reciprocated Edge Ratio : 0.035224153705398
Connected Components : 107
Single-Vertex Connected Components : 60
Maximum Vertices in a Connected Component : 2749
Maximum Edges in a Connected Component : 21988
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.234995
Graph Density : 0.000926246067903243
Modularity : 0.312472
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,073 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, 19 December 2022 at 18:34 UTC.
The requested start date was Monday, 19 December 2022 at 01:01 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 9-day, 8-hour, 25-minute period from Friday, 09 December 2022 at 13:38 UTC to Sunday, 18 December 2022 at 22:03 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 : Worldbank (environment OR climate OR warming OR ecological OR planet OR global)
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:
[2978] private,sector [2971] sector,led [2968] environment,private [2968] led,growth [2273] enabling,environment [2272] president,malpass [2270] thank,dear [2270] dear,davidmalpasswbg [2270] growth,thank [2270] malpass,enabling Top Word Pairs in Tweet in G1:
[284] climate,change [169] worldbank,group [136] extreme,poverty [131] country,#climateanddevelopment [128] poverty,reduction [127] progress,reducing [127] climate,action [127] ground,halt [126] poverty,ground [126] worldbank,global Top Word Pairs in Tweet in G2:
[2965] private,sector [2965] environment,private [2965] led,growth [2965] sector,led [2271] enabling,environment [2270] thank,dear [2270] president,malpass [2270] malpass,enabling [2270] dear,davidmalpasswbg [2270] growth,thank Top Word Pairs in Tweet in G3:
[87] cop26,andersen_inger [86] andersen_inger,brian_j_keane [86] emma999too,un_sdg [86] un_sdg,azziadnasenya [81] sdg13un,cop26 [81] azziadnasenya,sdg13un [60] brian_j_keane,madube_ [57] cop27p,wael_aboulmagd [56] madube_,legsidelizzy [52] lepariyo,cop27p Top Word Pairs in Tweet in G4:
[17] gt,co [13] imfnews,worldbank [12] worldbank,imfnews [10] premier,li [9] imfnews,wto [7] finstbboard,ilo [7] press,roundtable [7] wto,oecd [7] roundtable,heads [7] oecd,finstbboard Top Word Pairs in Tweet in G5:
[72] according,#worldbank [72] world,according [72] statistics,half [72] #poverty,norm [72] #worldbank,statistics [72] today,#poverty [72] #economic,collapse [72] norm,world [72] collapse,part [72] part,today Top Word Pairs in Tweet in G6:
[28] worldbankindia,india [17] development,update [17] india,development [16] growth,remain [16] strong,#gdp [16] register,strong [16] #india,register [16] update,2022 [16] despite,challenges [16] remain,one Top Word Pairs in Tweet in G7:
[9] opportunity,see [9] natural,resources [9] gulhi,island [9] aisha4climate,cfruman [9] dependent,natural [9] see,first [9] island,opportunity [9] cfruman,iiasavienna [9] iiasavienna,wbg_climate [9] hand,livelihoods Top Word Pairs in Tweet in G8:
[8] more,cash [8] corruption,victimless [8] corruption,far [8] far,more [8] victimless,crime [8] brown,envelope [8] cash,brown [8] climate,change [8] crime,victims [8] envelope,corruption Top Word Pairs in Tweet in G9:
[32] the_idb,worldbank [32] bc,haitian [32] owe,#haiti [32] harvard,agordonreed [32] #raoulpeck,columbia [32] #usa,gouvernementfr [32] doubled,bc [32] fictionsofhaiti,harvard [32] hofrench,yale [32] nytimes,#raoulpeck Top Word Pairs in Tweet in G10:
[12] world,bank [11] climate,change [11] #unitednations,#potus [11] #g20,#unitednations [10] #macron,#nato [10] #nato,#justintrudeau [10] #xijinping,#macron [10] #vatican,#g20 [9] #worldbank,#xijinping [7] #antónioguterres,#cop27 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 G7:
Top Replied-To in G8:
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: