The graph represents a network of 2,873 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 Tuesday, 17 November 2020 at 15:39 UTC.
The requested start date was Monday, 16 November 2020 at 01:01 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, 22-hour, 4-minute period from Monday, 02 November 2020 at 01:30 UTC to Sunday, 15 November 2020 at 23:35 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 : 2873
Unique Edges : 2573
Edges With Duplicates : 5461
Total Edges : 8034
Number of Edge Types : 5
Retweet : 2184
MentionsInRetweet : 3430
Mentions : 1908
Tweet : 369
Replies to : 143
Self-Loops : 390
Reciprocated Vertex Pair Ratio : 0.017797552836485
Reciprocated Edge Ratio : 0.0349726775956284
Connected Components : 140
Single-Vertex Connected Components : 80
Maximum Vertices in a Connected Component : 2397
Maximum Edges in a Connected Component : 7257
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.271065
Graph Density : 0.000554461042052265
Modularity : 0.43671
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,873 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 Tuesday, 17 November 2020 at 15:39 UTC.
The requested start date was Monday, 16 November 2020 at 01:01 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, 22-hour, 4-minute period from Monday, 02 November 2020 at 01:30 UTC to Sunday, 15 November 2020 at 23:35 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:
[141] climate,change [125] covid,19 [119] extreme,poverty [97] presidí,grupo [97] grupo,anticorrupción [97] anticorrupción,g20 [97] g20,propusimos [97] propusimos,hacer [97] hacer,guía [97] guía,práctica Top Word Pairs in Tweet in G1:
[52] climate,change [42] global,extreme [38] extreme,#poverty [35] learn,more [35] worldbank,worldbank [34] extreme,poverty [33] climate,shocks [32] accounting,for# [32] for#,covid19 [32] covid19,suggests Top Word Pairs in Tweet in G2:
[41] read,blog [37] tackling,#airpollution [37] #airpollution,essential [37] essential,people [37] people,nature [37] nature,planet [35] planet,read [28] climate,change [26] worldbankâ,kkemperwb [24] blog,worldbankâ Top Word Pairs in Tweet in G3:
[59] economic,growth [58] climate,policy [58] policy,separate [58] separate,economic [58] growth,strategy [58] strategy,hmountford4 [58] hmountford4,worldresources [55] œyou,canâ [55] canâ,climate [37] oil,gas Top Word Pairs in Tweet in G4:
[17] global,poverty [11] covid,19 [11] poverty,trends [11] trends,happened [11] happened,marta_schoch [11] marta_schoch,christophlakner [10] 19,increases [10] increases,average [10] average,gini [10] gini,index Top Word Pairs in Tweet in G5:
[34] billion,people [28] worldbank,development [28] development,podcast [28] chief,economist [28] economist,carmenmreinhart [24] global,economy [21] podcast,davidmalpasswbg [21] davidmalpasswbg,chief [21] carmenmreinhart,discuss [21] discuss,state Top Word Pairs in Tweet in G6:
[12] asap,food [12] food,packaging [12] packaging,storing [12] storing,products [12] products,room [12] room,temperature [12] temperature,two [12] two,years [12] years,asap [12] asap,global Top Word Pairs in Tweet in G7:
[97] presidí,grupo [97] grupo,anticorrupción [97] anticorrupción,g20 [97] g20,propusimos [97] propusimos,hacer [97] hacer,guía [97] guía,práctica [97] práctica,manejo [97] manejo,conflictos [96] lauritalonso,presidí Top Word Pairs in Tweet in G8:
[85] work,journalist [85] journalist,politician [85] politician,done [85] done,found [85] found,source [85] source,'15 [85] '15,million [85] million,unregistered [84] brodiegal,work [84] unregistered,peop Top Word Pairs in Tweet in G9:
[13] world,bank [7] ãƒ,ム[5] covid,19 [4] climate,change [4] extreme,poverty [3] reducing,extreme [3] poverty,rate [3] global,poverty [2] global,population [2] million,more Top Word Pairs in Tweet in G10:
[24] worldbank,ifc_org [22] #invest4climate,research [22] research,worldbank [22] ifc_org,identifies [22] identifies,ways [22] ways,unlock [22] unlock,financing [22] financing,development [20] undp,#invest4climate [12] development,#buildbackgreen 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 G6:
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: