The graph represents a network of 5,333 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, 08 November 2021 at 16:55 UTC.
The requested start date was Monday, 08 November 2021 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 13-day, 7-hour, 56-minute period from Monday, 25 October 2021 at 16:46 UTC to Monday, 08 November 2021 at 00:43 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 : 5333
Unique Edges : 5539
Edges With Duplicates : 14765
Total Edges : 20304
Number of Edge Types : 5
Retweet : 5557
MentionsInRetweet : 9612
Mentions : 4106
Replies to : 359
Tweet : 670
Self-Loops : 712
Reciprocated Vertex Pair Ratio : 0.0216037368625924
Reciprocated Edge Ratio : 0.0422937702419508
Connected Components : 196
Single-Vertex Connected Components : 109
Maximum Vertices in a Connected Component : 4940
Maximum Edges in a Connected Component : 19785
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.096478
Graph Density : 0.000369185677255616
Modularity : 0.368792
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,333 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, 08 November 2021 at 16:55 UTC.
The requested start date was Monday, 08 November 2021 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 13-day, 7-hour, 56-minute period from Monday, 25 October 2021 at 16:46 UTC to Monday, 08 November 2021 at 00:43 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:
[1114] climate,change [543] world,bank [355] climate,action [332] worldbank,group [255] each,year [249] forests,cover [249] cover,72 [249] 72,73 [249] 73,bhutan [249] bhutan,absorb Top Word Pairs in Tweet in G1:
[279] climate,change [217] world,bank [173] according,worldbank [161] climate,friendly [161] friendly,development [161] development,highest [161] highest,world [160] worldbank,pakistan [160] pakistan,climate [158] prime,minister Top Word Pairs in Tweet in G2:
[492] climate,change [234] worldbank,group [196] world,bank [175] climate,action [142] learn,more [130] climate,development [117] #cop26,climate [108] developing,countries [104] climate,briefs [104] climate,finance Top Word Pairs in Tweet in G3:
[242] forests,cover [242] cover,72 [242] 72,73 [242] 73,bhutan [242] bhutan,absorb [242] absorb,more [242] more,9m [242] 9m,tonnes [242] tonnes,carbon [242] carbon,each Top Word Pairs in Tweet in G4:
[104] join,virtual [103] #cop26,world [103] world,making [103] making,ambitious [103] ambitious,2030 [103] 2030,emission [103] emission,reduction [103] reduction,targets [103] targets,reach [103] reach,#netzero Top Word Pairs in Tweet in G5:
[58] drtedros,worldbank [58] worldbank,thegpmb [22] thegpmb,shortage [22] shortage,reports [22] reports,reviews [22] reviews,recommendations [22] recommendations,shortage [22] shortage,action [19] global,health [19] imfnews,g20org Top Word Pairs in Tweet in G6:
[15] g20org,potus [15] potus,elysee [15] elysee,vonderleyen [15] vonderleyen,speakerpelosi [15] speakerpelosi,vp [15] vp,un_women [15] un_women,un4youth [15] un4youth,gretathunberg [15] gretathunberg,malala [15] malala,harvard Top Word Pairs in Tweet in G7:
[38] climate,change [28] water,scarcity [28] water,stress [22] worldbankwater,water [18] congratulations,#saudiarabia [18] #saudiarabia,sustainable [18] sustainable,global [18] global,#tourism [18] #tourism,center [18] center,#sgtc Top Word Pairs in Tweet in G8:
[12] itc,#cop26 [12] #cop26,unep [12] unep,worldbank [12] worldbank,unctad [12] unctad,wto [12] wto,leaders [12] leaders,trade [12] trade,environment [12] environment,convene [11] convene,chathamhouse Top Word Pairs in Tweet in G9:
[27] climate,change [21] ggi,osowog [17] part,uk [17] uk,india [17] india,bilateral [17] bilateral,cooperation [17] cooperation,joint [17] joint,governance [17] governance,structure [17] structure,announced Top Word Pairs in Tweet in G10:
[17] requires,redesign [17] redesign,ways [17] ways,energy [17] energy,produced [17] produced,consumed [17] consumed,financed [17] people,planet [16] financed,read [13] global,energy [13] climate,change 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:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: