The graph represents a network of 2,823 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, 10 May 2021 at 16:50 UTC.
The requested start date was Monday, 10 May 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, 21-hour, 48-minute period from Monday, 26 April 2021 at 01:20 UTC to Sunday, 09 May 2021 at 23:08 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 : 2823
Unique Edges : 2640
Edges With Duplicates : 6958
Total Edges : 9598
Number of Edge Types : 5
Retweet : 2228
MentionsInRetweet : 3715
Mentions : 3096
Tweet : 281
Replies to : 278
Self-Loops : 325
Reciprocated Vertex Pair Ratio : 0.0176894518453811
Reciprocated Edge Ratio : 0.0347639484978541
Connected Components : 123
Single-Vertex Connected Components : 58
Maximum Vertices in a Connected Component : 2513
Maximum Edges in a Connected Component : 9206
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.226776
Graph Density : 0.000584949035373851
Modularity : 0.372116
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,823 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, 10 May 2021 at 16:50 UTC.
The requested start date was Monday, 10 May 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, 21-hour, 48-minute period from Monday, 26 April 2021 at 01:20 UTC to Sunday, 09 May 2021 at 23:08 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:
[451] climate,change [225] world,bank [190] research,shows [190] worldbank,directed [190] directed,more [190] more,billion [190] fossil,fuel [190] projects,2020 [190] 2020,undermining [189] shows,worldbank Top Word Pairs in Tweet in G1:
[247] climate,change [184] worldbank,directed [184] directed,more [184] more,billion [184] fossil,fuel [184] projects,2020 [184] 2020,undermining [183] research,shows [183] shows,worldbank [183] billion,towards Top Word Pairs in Tweet in G2:
[105] climate,change [96] #climatechange,threatens [96] threatens,erode [96] erode,progress [96] progress,nearly [96] nearly,area [96] area,human [96] human,development [96] development,2050 [96] 2050,force Top Word Pairs in Tweet in G3:
[160] many,ugandans [160] ugandans,die [160] die,before [160] before,global [160] global,actors [160] actors,challenge [160] challenge,kagutamuseveni [148] kagutamuseveni,continues [148] continues,abducting [148] abducting,torture Top Word Pairs in Tweet in G4:
[53] youth,summit [49] 2021,worldbank [39] worldbank,group's [38] calling,young [38] young,changemakers [38] changemakers,globe [38] globe,register [38] register,2021 [38] group's,youth [38] summit,share Top Word Pairs in Tweet in G5:
[76] rbi,q4 [76] q4,bank [76] bank,profit [59] profit,showing [59] showing,corona [59] corona,pendamic [59] pendamic,environment [59] environment,people [59] people,give [57] pareshjaani,rbi Top Word Pairs in Tweet in G6:
[86] world,poverty [85] world,bank [85] bank,global [85] global,poverty [85] poverty,more [85] more,doubled [85] doubled,during [85] during,covid [85] covid,#sdgs [85] #sdgs,sustainable Top Word Pairs in Tweet in G7:
[26] potential,#machinelearning [26] #machinelearning,#disaster [26] #disaster,risk [26] risk,management [26] management,without [26] without,pitfalls [26] pitfalls,partners [13] worldbankdata,potential [10] partners,deltares [10] address,ethics Top Word Pairs in Tweet in G8:
[10] climate,change [9] world,bank [5] gas,flaring [4] read,more [4] global,gas [3] youth,summit [3] summit,2021 [3] global,economic [3] 65,global [3] 40,world Top Word Pairs in Tweet in G10:
[12] worldbank,imfnews [11] timexcludeduk,rishisunak [11] rishisunak,wsj [11] wsj,g7 [11] g7,eu_commission [11] eu_commission,worldbank [11] imfnews,oecd [11] oecd,henrynewman [11] henrynewman,joshgrimstone [11] joshgrimstone,cafreeland Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
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:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: