The graph represents a network of 4,015 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 February 2020 at 17:46 UTC.
The requested start date was Monday, 17 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 8-hour, 57-minute period from Monday, 03 February 2020 at 01:16 UTC to Saturday, 15 February 2020 at 10:13 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 : 4015
Unique Edges : 5323
Edges With Duplicates : 3419
Total Edges : 8742
Number of Edge Types : 4
Tweet : 298
MentionsInRetweet : 4897
Replies to : 186
Mentions : 3361
Self-Loops : 298
Reciprocated Vertex Pair Ratio : 0.0141928864569083
Reciprocated Edge Ratio : 0.0279885348170629
Connected Components : 129
Single-Vertex Connected Components : 66
Maximum Vertices in a Connected Component : 3662
Maximum Edges in a Connected Component : 8344
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.399491
Graph Density : 0.000368014564218262
Modularity : 0.543764
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 4,015 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 February 2020 at 17:46 UTC.
The requested start date was Monday, 17 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 8-hour, 57-minute period from Monday, 03 February 2020 at 01:16 UTC to Saturday, 15 February 2020 at 10:13 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:
[953] global,financial [627] financial,development [627] development,report [560] wbpubs,global [556] report,measures [556] measures,top [556] top,10 [556] 10,banks [556] banks,rated [556] rated,international Top Word Pairs in Tweet in G1:
[906] global,financial [607] financial,development [607] development,report [540] wbpubs,global [536] report,measures [536] measures,top [536] top,10 [536] 10,banks [536] banks,rated [536] rated,international Top Word Pairs in Tweet in G2:
[132] gt,gt [66] deadline,friday [66] friday,worldbank [66] worldbank,bureaucracy [66] bureaucracy,lab [66] lab,hiring [66] hiring,two [66] two,year [66] year,doc [66] doc,handbook Top Word Pairs in Tweet in G3:
[32] worldbank,hiring [32] hiring,recruit [32] recruit,over [32] positions,fragility [32] fragility,conflict [32] conflict,violence [32] violence,team [32] team,june [31] over,1⃠[31] 1âƒ,0⃠Top Word Pairs in Tweet in G4:
[73] 9am,edt [72] worldbanklive,feb [72] feb,9am [67] low,middle [67] middle,income [64] income,countries [62] global,#obesity [58] ask,experts [58] experts,tune [58] tune,answers Top Word Pairs in Tweet in G5:
[24] climate,change [22] wbg_climate,climate [21] climate,adaptation [20] oil,gas [20] partnership,worldbank [20] futuro,movilidad [20] liderado,bicicletas [20] bicicletas,renacimiento [20] renacimiento,bici [20] bici,carga Top Word Pairs in Tweet in G6:
[74] #togo,small [74] small,west [74] west,african [74] african,country [74] country,making [74] making,big [74] big,reforms [74] reforms,boost [74] boost,business [74] business,climate Top Word Pairs in Tweet in G7:
[45] water,management [43] risk,comes [43] comes,opportunity [43] opportunity,chance [43] chance,refocus [43] refocus,approach [43] approach,water [43] management,urgency [42] worldbankwater,risk [42] urgency,cl Top Word Pairs in Tweet in G8:
[32] worldbank,globalscdn [31] over,20 [31] 20,organizations [31] organizations,around [31] around,world [31] world,including [31] including,worldbank [31] globalscdn,government [31] government,gathered [31] gathered,address Top Word Pairs in Tweet in G9:
[3] bethrya74893789,qsimpleanswers [3] qsimpleanswers,hannainheaven [3] hannainheaven,paniela100 [3] paniela100,iamlisakirk [3] iamlisakirk,mollygalt [3] mollygalt,yellowquop22 [3] yellowquop22,koko58131745 [3] koko58131745,dcrow_baby [3] intentionmentor,non_msm_news [3] non_msm_news,danpeacock12 Top Word Pairs in Tweet in G10:
[25] fta_cgiar,globallf [25] globallf,bappenasri [25] bappenasri,europeanforest [25] europeanforest,gggi_hq [25] gggi_hq,cifor [25] cifor,bradyforests [25] bradyforests,baralhimlal [25] baralhimlal,unesco [25] unesco,jokowi [25] japangov,moej_climate Top Replied-To in Entire Graph:
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 G7:
Top Replied-To in G8:
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: