The graph represents a network of 3,269 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, 09 May 2022 at 17:33 UTC.
The requested start date was Monday, 09 May 2022 at 00:01 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, 23-hour, 50-minute period from Monday, 25 April 2022 at 00:10 UTC to Monday, 09 May 2022 at 00:00 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 : 3269
Unique Edges : 3148
Edges With Duplicates : 7585
Total Edges : 10733
Number of Edge Types : 5
Retweet : 2803
MentionsInRetweet : 4644
Tweet : 409
Mentions : 2626
Replies to : 251
Self-Loops : 445
Reciprocated Vertex Pair Ratio : 0.0233100233100233
Reciprocated Edge Ratio : 0.0455580865603645
Connected Components : 188
Single-Vertex Connected Components : 81
Maximum Vertices in a Connected Component : 2829
Maximum Edges in a Connected Component : 10188
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.226626
Graph Density : 0.000534208635477444
Modularity : 0.409369
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,269 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, 09 May 2022 at 17:33 UTC.
The requested start date was Monday, 09 May 2022 at 00:01 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, 23-hour, 50-minute period from Monday, 25 April 2022 at 00:10 UTC to Monday, 09 May 2022 at 00:00 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:
[272] war,ukraine [270] climate,change [187] covid,19 [170] world,bank [145] spring,meetings [135] learn,more [115] climate,action [115] developing,countries [104] gas,flaring [97] climate,development Top Word Pairs in Tweet in G1:
[169] war,ukraine [116] covid,19 [98] spring,meetings [76] world,bank [64] climate,change [64] bank,group [64] remain,high [63] group,president [63] president,davidmalpasswbgâ [63] davidmalpasswbgâ,warns Top Word Pairs in Tweet in G2:
[106] climate,change [94] learn,more [70] war,ukraine [69] climate,action [64] small,island [52] island,states [49] came,together [48] covid,19 [48] watch,#finance4climate [46] climate,development Top Word Pairs in Tweet in G3:
[34] today,release [34] release,2022 [34] 2022,global [34] global,report [34] report,food [34] food,crises [34] crises,eu_echo [34] eu_echo,eu_partnerships [34] eu_partnerships,fao [34] fao,unicef Top Word Pairs in Tweet in G4:
[5] vp,sierraclub [5] sierraclub,joebiden [5] joebiden,potus [5] potus,barackobama [5] barackobama,speakerpelosi [5] speakerpelosi,thejusticedept [5] thejusticedept,un4youth [5] un4youth,un_women [5] un_women,unep [5] unep,ipcc_ch Top Word Pairs in Tweet in G5:
[86] human,rights [78] many,ugandans [78] ugandans,die [78] die,before [78] before,global [78] global,actors [76] actors,challenge [76] challenge,museveni [76] museveni,rest [74] rest,world Top Word Pairs in Tweet in G6:
[31] imfnews,worldbank [25] worldbank,wto [22] joint,report [15] imfnews,oecd [15] oecd,worldbank [10] 14,00 [10] 00,cet [9] trade,subsidies [9] join,14 [9] cet,presentation Top Word Pairs in Tweet in G7:
[38] ø,ø [33] ø,ù [32] ù,ø [14] world,bank [14] ø,ùšø [10] ùšø,ø [7] climate,change [7] ù,ù [7] ù,ùšø [6] war,ukraine Top Word Pairs in Tweet in G8:
[18] governments,come [18] come,go [18] go,#climatechange [18] #climatechange,stay [18] stay,#pakistan [18] #pakistan,afford [18] afford,relax [18] relax,front [17] aminattock,governments [6] #montrealsummit,happens Top Word Pairs in Tweet in G9:
[12] covid,19 [8] pandemic,threaten [8] threaten,leave [8] leave,generations [8] generations,behind [8] behind,exacerbate [8] exacerbate,inequalities [8] inequalities,#investinpeople [7] global,poverty [7] 2017,ppps Top Word Pairs in Tweet in G10:
[23] #economicinclusion,programs [21] climate,development [20] climate,change [15] world,bank [14] bank,implementing [14] implementing,climate [14] change,action [14] action,plan [14] plan,based [14] based,integrating Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: