The graph represents a network of 3,308 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, 15 August 2022 at 17:34 UTC.
The requested start date was Monday, 15 August 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, 22-hour, 30-minute period from Monday, 01 August 2022 at 00:30 UTC to Sunday, 14 August 2022 at 23:00 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 : 3308
Unique Edges : 3105
Edges With Duplicates : 8553
Total Edges : 11658
Number of Edge Types : 5
Retweet : 3251
MentionsInRetweet : 5501
Tweet : 445
Mentions : 2278
Replies to : 183
Self-Loops : 484
Reciprocated Vertex Pair Ratio : 0.0129961362838075
Reciprocated Edge Ratio : 0.0256588072122053
Connected Components : 150
Single-Vertex Connected Components : 69
Maximum Vertices in a Connected Component : 2821
Maximum Edges in a Connected Component : 11001
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.039908
Graph Density : 0.00052726088700492
Modularity : 0.385816
NodeXL Version : 1.0.1.503
Data Import : The graph represents a network of 3,308 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, 15 August 2022 at 17:34 UTC.
The requested start date was Monday, 15 August 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, 22-hour, 30-minute period from Monday, 01 August 2022 at 00:30 UTC to Sunday, 14 August 2022 at 23:00 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:
[321] food,energy [306] share,ideas [299] video,share [299] climate,change [275] worldbank,group [199] record,high [199] high,food [199] triggered,global [198] prices,triggered [194] 10,things Top Word Pairs in Tweet in G1:
[227] food,energy [227] video,share [227] share,ideas [135] record,high [135] triggered,global [135] global,food [134] high,food [134] prices,triggered [134] crises,impacted [134] min,video Top Word Pairs in Tweet in G2:
[149] climate,change [131] worldbank,group [115] help,countries [109] indigenous,peoples [86] learn,more [85] multiple,crises [84] countries,tackle [81] tackle,multiple [81] crises,stay [81] stay,course Top Word Pairs in Tweet in G3:
[27] food,prices [27] million,people [26] each,increase [26] increase,food [26] prices,10 [26] 10,million [26] people,thrown [26] thrown,extreme [26] extreme,poverty [26] poverty,according Top Word Pairs in Tweet in G4:
[74] fcdogovuk,usaid [73] joint,report [72] gigantic,crisis [72] crisis,joint [72] report,wbg_education [72] wbg_education,unicef [72] unicef,unesco [72] unesco,fcdogovuk [71] jaimesaavedra22,gigantic [68] usaid,gatesfoundationâ Top Word Pairs in Tweet in G5:
[9] kenneth72712993,jimdtweet [9] jimdtweet,tom575935021 [9] tom575935021,automatrix66_kc [9] automatrix66_kc,mark_a_lunn [9] mark_a_lunn,tullimonstrumc [9] tullimonstrumc,rstrixxx [9] rstrixxx,garynothairy [9] garynothairy,ejwwest [8] sasha67oz,kenneth72712993 [8] ejwwest,go Top Word Pairs in Tweet in G6:
[5] food,energy [5] video,share [5] share,ideas [5] worldbank,wef [4] very,concerned [4] concerned,future [4] future,activities [4] activities,#climate [4] #climate,deniers [4] deniers,high Top Word Pairs in Tweet in G7:
[78] global,call [78] call,action [78] action,re [78] re,coming [78] coming,together [78] together,again [78] again,stepping [78] stepping,game [78] game,targeting [78] targeting,financial Top Word Pairs in Tweet in G8:
[33] sirneobranson,nsagov [31] nsagov,bbcworld [31] bbcworld,cyber [31] cyber,defenseintel [31] defenseintel,icegov [31] icegov,forbestech [31] forbestech,g7 [31] g7,g8 [31] g8,avengers [31] avengers,ukenyatta Top Word Pairs in Tweet in G9:
[19] ø,ø [16] ø,ù [13] ù,ø [12] world,bank [7] climate,change [6] ù,ù [5] kgsn,forum [5] forum,global [4] job,quality [4] kgs_novriyadi,kgsn Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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Top Mentioned in G7:
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Top Mentioned in G9:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: