The graph represents a network of 5,106 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, 27 September 2021 at 16:53 UTC.
The requested start date was Monday, 27 September 2021 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, 30-minute period from Monday, 13 September 2021 at 00:30 UTC to Monday, 27 September 2021 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 : 5106
Unique Edges : 5146
Edges With Duplicates : 12103
Total Edges : 17249
Number of Edge Types : 5
Mentions : 3612
Retweet : 4715
MentionsInRetweet : 7983
Replies to : 372
Tweet : 567
Self-Loops : 686
Reciprocated Vertex Pair Ratio : 0.0158677685950413
Reciprocated Edge Ratio : 0.0312398307842499
Connected Components : 233
Single-Vertex Connected Components : 130
Maximum Vertices in a Connected Component : 4509
Maximum Edges in a Connected Component : 16350
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.176642
Graph Density : 0.000353677358319014
Modularity : 0.402362
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,106 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, 27 September 2021 at 16:53 UTC.
The requested start date was Monday, 27 September 2021 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, 30-minute period from Monday, 13 September 2021 at 00:30 UTC to Monday, 27 September 2021 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:
[728] climate,change [651] 216,million [642] million,people [488] climate,migration [467] within,countries [445] people,migrate [425] countries,2050 [384] migrate,within [266] #groundswell,report [265] human,rights Top Word Pairs in Tweet in G1:
[329] climate,change [308] 216,million [292] climate,migration [249] million,people [164] people,migrate [164] worldbank,report [160] within,countries [153] countries,2050 [145] migrate,within [143] report,climate Top Word Pairs in Tweet in G2:
[119] climate,change [90] covid,19 [82] 216,million [76] worldbank,group [70] million,people [64] within,countries [63] people,migrate [62] climate,migration [57] countries,2050 [56] migrate,within Top Word Pairs in Tweet in G3:
[207] wbg_climate,report [207] action,taken [207] taken,reduce [207] reduce,global [207] global,emissions [206] report,projects [206] projects,unless [206] unless,action [206] emissions,increase [206] increase,efforts Top Word Pairs in Tweet in G4:
[241] human,rights [182] eucopresident,vital [182] vital,look [182] look,environment [182] environment,co [182] co,existents [182] existents,thus [182] thus,both [182] both,human [182] rights,abuses Top Word Pairs in Tweet in G5:
[35] million,people [29] mari_pangestu,worldbank [28] worldbank,johnjameshaley [28] johnjameshaley,wtwcorporate [21] 200,million [21] economies,societies [20] compact,resilient [20] resilient,economies [19] societies,mari_pangestu [19] climate,change Top Word Pairs in Tweet in G6:
[167] impact,evaluations [164] hiring,again [164] again,dime [164] dime,hiring [164] hiring,16 [164] 16,consultants [164] consultants,support [164] support,global [164] global,portfolio [164] portfolio,impact Top Word Pairs in Tweet in G7:
[44] manual,exchange [43] exchange,information [36] global,forum [35] oecdtax,afdb_group [33] published,version [33] version,manual [32] worldbank,global [32] forum,oecdtax [32] afdb_group,published [21] tax,instruments Top Word Pairs in Tweet in G8:
[27] climate,change [24] world,bank [19] million,people [13] climate,migration [13] 216,million [12] internal,climate [10] people,migrate [9] acting,internal [8] groundswell,acting [7] 200,million Top Word Pairs in Tweet in G9:
[43] water,scarcity [40] million,people [34] within,countries [29] millions,people [28] scarcity,declining [26] water,availability [25] internal,#climatemigration [23] north,#africa [22] #africa,changes [22] changes,water Top Word Pairs in Tweet in G10:
[160] many,ugandans [160] ugandans,die [160] die,before [160] before,global [160] global,actors [160] actors,challenge [160] challenge,museveni [160] museveni,rest [160] rest,world [160] world,watch Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: