The graph represents a network of 4,105 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, 20 September 2021 at 16:52 UTC.
The requested start date was Monday, 20 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, 20-hour, 49-minute period from Monday, 06 September 2021 at 00:30 UTC to Sunday, 19 September 2021 at 21:19 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 : 4105
Unique Edges : 3454
Edges With Duplicates : 8787
Total Edges : 12241
Number of Edge Types : 5
Retweet : 3553
MentionsInRetweet : 5173
Mentions : 2723
Replies to : 272
Tweet : 520
Self-Loops : 618
Reciprocated Vertex Pair Ratio : 0.01931602279924
Reciprocated Edge Ratio : 0.0378999689344517
Connected Components : 238
Single-Vertex Connected Components : 134
Maximum Vertices in a Connected Component : 3373
Maximum Edges in a Connected Component : 11132
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.137634
Graph Density : 0.00038214700372531
Modularity : 0.407071
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,105 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, 20 September 2021 at 16:52 UTC.
The requested start date was Monday, 20 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, 20-hour, 49-minute period from Monday, 06 September 2021 at 00:30 UTC to Sunday, 19 September 2021 at 21:19 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:
[734] climate,change [579] million,people [550] 216,million [432] climate,migration [410] within,countries [376] people,migrate [371] countries,2050 [332] migrate,within [233] world,bank [226] worldbank,report Top Word Pairs in Tweet in G1:
[361] climate,change [277] climate,migration [260] 216,million [226] million,people [160] worldbank,report [142] report,climate [139] within,countries [133] people,migrate [133] countries,2050 [124] need,know Top Word Pairs in Tweet in G2:
[189] people,migrate [187] million,people [180] 216,million [174] climate,change [172] within,countries [159] countries,2050 [156] migrate,within [132] force,216 [127] #groundswell,report [126] #climatechange,force Top Word Pairs in Tweet in G3:
[36] climate,change [35] online,course [35] data,better [35] better,lives [35] lives,social [35] social,contract [34] latest,data [31] global,health [30] income,countries [30] effective,global Top Word Pairs in Tweet in G4:
[16] million,people [15] climate,change [13] 216,million [12] machine,learning [11] creating,resilient [11] resilient,food [11] food,secure [11] secure,cities [11] cities,means [11] means,developing Top Word Pairs in Tweet in G5:
[25] climate,change [20] million,people [18] world,bank [14] climate,migration [13] internal,climate [12] 216,million [10] acting,internal [9] people,migrate [9] groundswell,acting [7] 200,million Top Word Pairs in Tweet in G6:
[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] human,rights [182] rights,abuses Top Word Pairs in Tweet in G7:
[39] steps,child [39] support,home [34] recovery,tracker [29] environment,books [25] unicef,worldbank [24] global,#education [24] #education,recovery [24] tracker,johnshopkins [24] johnshopkins,unicef [24] worldbank,captures Top Word Pairs in Tweet in G8:
[16] 10,17 [16] 17,#sdgs [16] #sdgs,considered [16] considered,high [16] high,impact [16] impact,energy [16] energy,mobility [16] mobility,nexus [16] nexus,opportunity [13] opportunity,implement Top Word Pairs in Tweet in G9:
[7] climate,resilient [7] resilient,urban [7] urban,sanitation [6] sanitation,jointly [6] jointly,organized [6] organized,#rcities [6] #rcities,worldbank [6] worldbank,co [6] co,hosted [4] worth,read Top Word Pairs in Tweet in G10:
[64] look,canada [64] canada,penalizing [64] penalizing,itself [64] itself,global [64] global,elite [64] elite,good [64] good,books [64] books,china [64] china,russia [64] russia,brazil Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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