The graph represents a network of 4,329 Twitter users whose recent tweets contained "Worldbank (environment OR climate OR warming OR ecological OR planet OR global)", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 18:33 UTC.
The tweets in the network were tweeted over the 2776-day, 4-hour, 44-minute period from Wednesday, 10 June 2015 at 20:10 UTC to Monday, 16 January 2023 at 00:55 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4329
Unique Edges : 3104
Edges With Duplicates : 9849
Total Edges : 12953
Number of Edge Types : 9
Retweet : 3787
MentionsInRetweet : 5983
Tweet : 539
Replies to : 281
MentionsInReplyTo : 1078
Mentions : 1146
Quote : 53
MentionsInQuote : 66
MentionsInQuoteReply : 20
Self-Loops : 758
Reciprocated Vertex Pair Ratio : 0.0116985718626557
Reciprocated Edge Ratio : 0.0231265955849227
Connected Components : 305
Single-Vertex Connected Components : 212
Maximum Vertices in a Connected Component : 3610
Maximum Edges in a Connected Component : 11637
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.896349
Graph Density : 0.000355413710312047
Modularity : 0.376351
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,329 Twitter users whose recent tweets contained "Worldbank (environment OR climate OR warming OR ecological OR planet OR global)", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 18:33 UTC.
The tweets in the network were tweeted over the 2776-day, 4-hour, 44-minute period from Wednesday, 10 June 2015 at 20:10 UTC to Monday, 16 January 2023 at 00:55 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[668] worldbankindia,india [585] worldbank,latest [508] environment,worldbank [506] challenging,external [506] demonstrated,resilience [506] resilience,despite [506] despite,challenging [505] india,economy [505] external,environment [505] economy,demonstrated Top Word Pairs in Tweet in G1:
[210] global,economy [120] global,economic [100] economic,prospects [100] worldbank,global [76] developing,countries [75] two,years [73] global,growth [73] global,recession [72] prospects,report [67] hit,developing Top Word Pairs in Tweet in G2:
[658] worldbankindia,india [495] external,environment [495] environment,worldbank [495] economy,demonstrated [495] demonstrated,resilience [495] resilience,despite [495] india,economy [495] challenging,external [495] worldbank,latest [495] despite,challenging Top Word Pairs in Tweet in G3:
[291] developing,countries [278] hit,developing [234] long,lasting [234] sharp,long [171] expected,hit [171] slowdown,expected [155] lasting,slowdown [140] countries,year [132] global,economy [127] countries,hard Top Word Pairs in Tweet in G4:
[44] 100,million [42] low,carbon [40] million,loan [38] learn,more [38] transition,low [38] approves,100 [38] #barbados',transition [38] loan,support [38] worldbank,approves [38] carbon,economy Top Word Pairs in Tweet in G5:
[76] world,bank [44] global,economy [34] warns,global [25] global,growth [23] global,economic [19] global,recession [18] economic,prospects [18] bank,warns [18] recession,2023 [17] 2023,growth Top Word Pairs in Tweet in G6:
[186] bn,intl [186] pakistan,#geneva [186] #worldbank,pledge [186] intl,conference [186] pledge,bn [186] resilient,pakistan [186] conference,climate [186] climate,resilient [186] grateful,#worldbank [185] foreignofficepk,grateful Top Word Pairs in Tweet in G7:
[12] global,growth [9] elonmusk,ap [9] un_women,potus [9] ap,imfnews [9] barackobama,sophiakianni [9] aidanrgallagher,un4youth [9] gretathunberg,aidanrgallagher [9] potus,europarl_en [9] europarl_en,elonmusk [9] un4youth,un_women Top Word Pairs in Tweet in G8:
[122] 2024,first [122] economy,grow [122] forecast,#china's [122] rise,2024 [122] year,rise [122] #china's,economy [122] #worldbank,forecast [122] first,major [122] grow,year [121] dr_zhaoqinghua,#worldbank Top Word Pairs in Tweet in G9:
[53] conference,geneva [53] jhagra,represented [53] climate,conference [53] geneva,switzerland [53] international,climate [52] represented,khyber [52] khyber,pakhtunkhwa [52] pakhtunkhwa,international [47] taimur,jhagra [35] switzerland,sideline Top Word Pairs in Tweet in G10:
[21] challenges,coming [21] navigate,economic [21] take,navigate [21] policymakers,take [21] #wbgep2023,recommends [21] coming,years [21] economic,challenges [21] years,latest [21] steps,policymakers [21] latest,#wbgep2023 Top Replied-To in Entire Graph:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: