The graph represents a network of 2,467 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, 16 November 2020 at 15:38 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 11-day, 16-hour, 15-minute period from Monday, 02 November 2020 at 01:30 UTC to Friday, 13 November 2020 at 17:45 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 : 2467
Unique Edges : 2253
Edges With Duplicates : 4543
Total Edges : 6796
Number of Edge Types : 5
Retweet : 1802
MentionsInRetweet : 2914
Mentions : 1650
Replies to : 120
Tweet : 310
Self-Loops : 328
Reciprocated Vertex Pair Ratio : 0.0189315352697095
Reciprocated Edge Ratio : 0.0371595825909901
Connected Components : 124
Single-Vertex Connected Components : 71
Maximum Vertices in a Connected Component : 2107
Maximum Edges in a Connected Component : 6241
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.269859
Graph Density : 0.000645832367625734
Modularity : 0.441729
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,467 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, 16 November 2020 at 15:38 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 11-day, 16-hour, 15-minute period from Monday, 02 November 2020 at 01:30 UTC to Friday, 13 November 2020 at 17:45 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:
[118] climate,change [99] extreme,poverty [97] presidí,grupo [97] grupo,anticorrupción [97] anticorrupción,g20 [97] g20,propusimos [97] propusimos,hacer [97] hacer,guía [97] guía,práctica [97] práctica,manejo Top Word Pairs in Tweet in G1:
[46] climate,change [41] global,extreme [37] extreme,#poverty [35] #poverty,rate [34] global,economy [33] accounting,for# [33] for#,covid19 [33] covid19,suggests [33] suggests,global [33] rate,between Top Word Pairs in Tweet in G2:
[63] 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 [51] read,blog Top Word Pairs in Tweet in G3:
[24] worldbank,ifc_org [24] global,poverty [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 Top Word Pairs in Tweet in G4:
[15] covid,19 [14] global,health [13] income,countries [10] hardwiring,gender [10] gender,equality [10] equality,global [8] health,security [8] unicef,worldbank [7] worldbank,unicef [7] exclusive,hardwiring Top Word Pairs in Tweet in G5:
[28] worldbank,mari_pangestu [28] 19,underscores [28] underscores,linkages [28] linkages,between [28] between,cooking [28] cooking,gender [28] gender,health [28] health,environment [28] environment,climate [28] climate,see Top Word Pairs in Tweet in G6:
[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 G7:
[26] global,economy [23] worldbank,development [23] development,podcast [23] podcast,davidmalpasswbg [23] davidmalpasswbg,chief [23] chief,economist [23] economist,carmenmreinhart [23] carmenmreinhart,discuss [23] discuss,state [23] state,global Top Word Pairs in Tweet in G8:
[9] world,bank [7] ãƒ,ム[5] covid,19 [4] extreme,poverty [3] climate,change [3] reducing,extreme [3] poverty,rate [3] global,poverty [2] global,population [2] million,more Top Word Pairs in Tweet in G9:
[20] worldbank,aiib_official [20] aiib_official,adb_hq [20] development,banks [19] climate,strikers [19] strikers,call [19] call,worldbank [19] adb_hq,public [16] public,development [13] stop,using [13] using,public Top Word Pairs in Tweet in G10:
[4] klaus,schwap [3] #covid19,pandemic [3] pandemic,exposed [3] exposed,weakness [3] weakness,infrastructure [3] infrastructure,#mena [3] #mena,countries [3] countries,infrastructure [3] infrastructure,investments [3] climate,change 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 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: