The graph represents a network of 2,135 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, 17 August 2020 at 13:46 UTC.
The requested start date was Monday, 17 August 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 11-day, 10-hour, 14-minute period from Monday, 03 August 2020 at 02:00 UTC to Friday, 14 August 2020 at 12:15 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 : 2135
Unique Edges : 1921
Edges With Duplicates : 3760
Total Edges : 5681
Number of Edge Types : 5
Retweet : 1502
MentionsInRetweet : 2365
Mentions : 1419
Replies to : 98
Tweet : 297
Self-Loops : 308
Reciprocated Vertex Pair Ratio : 0.0143730886850153
Reciprocated Edge Ratio : 0.0283388604160386
Connected Components : 131
Single-Vertex Connected Components : 68
Maximum Vertices in a Connected Component : 1785
Maximum Edges in a Connected Component : 5269
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.396559
Graph Density : 0.000728036540103466
Modularity : 0.476067
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,135 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, 17 August 2020 at 13:46 UTC.
The requested start date was Monday, 17 August 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 11-day, 10-hour, 14-minute period from Monday, 03 August 2020 at 02:00 UTC to Friday, 14 August 2020 at 12:15 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:
[156] global,population [147] 20,global [143] 70,countries [143] countries,excellent [143] excellent,conditions [143] high,potential [141] population,live [141] live,70 [141] potential,countries [113] global,value Top Word Pairs in Tweet in G1:
[85] global,value [85] value,chains [53] worldbank,#covid19 [45] delivery,systems [42] food,system [40] chains,#gvcs [40] #covid19,exposed [40] exposed,weaknesses [40] weaknesses,global [40] global,food Top Word Pairs in Tweet in G2:
[32] sofia,bettencourt [32] #solar,energy [26] global,population [25] climate,change [23] long,term [20] meet,sofia [20] bettencourt,pioneer [20] pioneer,climate [20] climate,adaptation [20] adaptation,resilience Top Word Pairs in Tweet in G3:
[19] worldbankwater,climate [14] climate,change [14] people,extreme [14] extreme,poverty [13] #covid19,push [13] push,71 [13] 71,100 [13] 100,million [13] million,people [13] poverty,2020 Top Word Pairs in Tweet in G4:
[70] afdb_group,adb_hq [65] adb_hq,ebrd [60] ebrd,eib [55] worldbank,isdb_group [53] eib,the_idb [49] bidinvest,worldbank [48] the_idb,bidinvest [29] joint,report [25] report,afdb_group [21] 61,billion Top Word Pairs in Tweet in G5:
[72] solar,energy [71] 20,global [71] global,population [71] population,live [71] live,70 [71] 70,countries [71] countries,excellent [71] excellent,conditions [71] energy,high [71] high,potential Top Word Pairs in Tweet in G6:
[30] rapid,assessment [29] assessment,survey [28] worldbank,wef [21] cambridgealtfin,worldbank [20] covid,19 [18] global,covid [17] participate,global [17] 19,rapid [13] global,#covid19 [12] wef,help Top Word Pairs in Tweet in G7:
[8] covid,19 [7] world,bank [5] climate,change [3] global,health [3] global,economy [3] global,pandemic [2] infectious,diseases [2] spent,couple [2] couple,minutes [2] minutes,addressing Top Word Pairs in Tweet in G8:
[3] #india,endeavors [3] endeavors,creating [3] creating,massive [3] massive,#manufacturing [3] #manufacturing,hub [3] hub,urges [3] urges,#global [3] #global,planemakers [3] planemakers,'#makeinindia' [3] '#makeinindia',#transformingindia Top Word Pairs in Tweet in G9:
[46] global,population [45] 20,global [45] population,live [45] live,70 [45] 70,countries [45] countries,excellent [45] excellent,conditions [44] high,potential [44] potential,countries [43] conditions,#solarenergy Top Word Pairs in Tweet in G10:
[15] global,value [14] value,chains [11] climate,change [9] chains,#gvcs [9] worldbank,#covid19 [8] covid,19 [8] response,global [8] global,challenge [8] challenge,climate [8] energy,technology Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: