The graph represents a network of 3,387 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, 05 October 2020 at 14:15 UTC.
The requested start date was Monday, 05 October 2020 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, 14-minute period from Monday, 21 September 2020 at 00:30 UTC to Sunday, 04 October 2020 at 23:45 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 : 3387
Unique Edges : 3496
Edges With Duplicates : 7235
Total Edges : 10731
Number of Edge Types : 5
Retweet : 2706
MentionsInRetweet : 4603
Mentions : 2856
Replies to : 156
Tweet : 410
Self-Loops : 432
Reciprocated Vertex Pair Ratio : 0.021720685559138
Reciprocated Edge Ratio : 0.042517854177047
Connected Components : 143
Single-Vertex Connected Components : 76
Maximum Vertices in a Connected Component : 3023
Maximum Edges in a Connected Component : 10228
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.426347
Graph Density : 0.000525008671667895
Modularity : 0.421125
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 3,387 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, 05 October 2020 at 14:15 UTC.
The requested start date was Monday, 05 October 2020 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, 14-minute period from Monday, 21 September 2020 at 00:30 UTC to Sunday, 04 October 2020 at 23:45 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:
[273] world,bank [214] climate,change [184] climate,finance [150] low,carbon [137] covid,19 [113] loss,waste [112] gap,fund [112] food,loss [103] carbon,inclusive [99] bank,group Top Word Pairs in Tweet in G1:
[64] climate,change [41] world,bank [38] without,action [38] action,global [38] global,locust [38] locust,crisis [38] crisis,cause [38] cause,billion [38] billion,economic [38] economic,damage Top Word Pairs in Tweet in G2:
[78] president,davidmalpasswbg [77] food,produced [74] loss,waste [73] food,loss [73] third,food [73] lost,wasted [71] one,third [70] produced,lost [66] worldbank,live [66] chief,economist Top Word Pairs in Tweet in G3:
[18] right,hard [18] hard,look [18] look,past [18] past,impacts [18] impacts,#covid19 [18] #covid19,lives [18] lives,economy [18] economy,clear [17] 411regan,right [17] clear,#clima Top Word Pairs in Tweet in G4:
[77] world,bank [40] climate,change [40] climate,finance [36] covid,19 [31] low,carbon [30] bank,group [29] recovery,packages [26] carbon,inclusive [24] #climateactionwbg,#wbg_biggerpicture [24] see,working Top Word Pairs in Tweet in G5:
[34] #sdgs,#globalgoals [29] #innovation,#sustainable [21] worldbank,undp [19] undp,worldbank [17] #sustainable,#sdgs [16] nature_org,unep [16] unep,unfccc [14] climate,finance [13] #climatechange,human [13] human,#migration Top Word Pairs in Tweet in G6:
[67] gap,fund [56] climate,finance [53] finance,gap [50] city,climate [43] c40cities,iclei [34] low,carbon [29] worldbank,mayors4climate [28] mayors4climate,giz_gmbh [26] carbon,inclusive [23] eib,worldbank Top Word Pairs in Tweet in G7:
[32] civil,society [32] society,policy [23] imfnews,worldbank [20] worldbank,imfnews [18] policy,forum [16] thread,worldbank [16] imfnews,annual [16] annual,mtgs [16] mtgs,around [16] around,corner Top Word Pairs in Tweet in G8:
[36] access,modern [30] health,gender [30] cooking,services [26] universal,access [25] modern,energy [25] energy,cooking [20] yearly,cost [20] cost,inaction [20] inaction,universal [20] services,over Top Word Pairs in Tweet in G9:
[27] #globalwildlifeprogram,funded [27] funded,thegef [27] thegef,works [27] works,#indonesia [27] #indonesia,#kenya [27] #kenya,#mozambique [27] #mozambique,#namibia [27] #namibia,#southafrica [27] #southafrica,#tanzania [24] #tanzania,#thailand Top Word Pairs in Tweet in G10:
[14] world,bank [6] covid,19 [6] during,global [6] global,pandemic [6] #pandemic,#worldbank [5] bank,group [5] pandemic,debt [5] debt,relief [5] relief,granted [5] granted,board Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
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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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: