The graph represents a network of 4,070 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, 10 June 2019 at 23:09 UTC.
The requested start date was Monday, 10 June 2019 at 00:01 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 13-day, 23-hour, 55-minute period from Monday, 27 May 2019 at 00:01 UTC to Sunday, 09 June 2019 at 23:56 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 : 4070
Unique Edges : 5957
Edges With Duplicates : 2004
Total Edges : 7961
Number of Edge Types : 3
Tweet : 487
Mentions : 7314
Replies to : 160
Self-Loops : 487
Reciprocated Vertex Pair Ratio : 0.0144601542416452
Reciprocated Edge Ratio : 0.0285080772885651
Connected Components : 231
Single-Vertex Connected Components : 136
Maximum Vertices in a Connected Component : 3518
Maximum Edges in a Connected Component : 7394
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.217133
Graph Density : 0.000381261084136484
Modularity : 0.591122
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[318] ð,ð [259] ã,ã [214] ðÿ,ï [213] owned,businesses [202] global,growth [196] climate,smart [195] world,bank [195] sub,saharan [191] saharan,africa [180] joining,forces Top Word Pairs in Tweet in G1:
[122] help,expand [121] worldbank,partners [121] expand,global [121] global,market [118] joining,forces [118] forces,help [110] key,worldbank [109] news,key [106] market,#energystorage [102] partners,institutions Top Word Pairs in Tweet in G2:
[75] oecd,facebook [61] worldbank,oecd [59] worldbank,new [55] male,dominated [54] dominated,sectors [52] male,owned [49] new,research [41] worldbankâ,s [38] ðÿ,ï [38] 2019,global Top Word Pairs in Tweet in G3:
[116] climate,smart [110] ðÿ,ï [69] learn,more [63] smart,#cities [59] things,know [50] more,70 [49] join,#innovate4climate [48] #innovate4climate,june [48] june,4 [48] account,more Top Word Pairs in Tweet in G4:
[40] world,needed [38] good,see [38] see,successful [38] successful,conclusion [38] conclusion,int'l [38] int'l,pledging [38] pledging,conf [38] conf,4 [38] 4,#mozambique [38] #mozambique,led Top Word Pairs in Tweet in G5:
[189] ã,ã [138] davidmalpasswbg,congrats [138] congrats,becoming [138] becoming,worldbank [138] worldbank,president [138] president,global [138] global,citizens [138] citizens,calling [138] calling,create [138] create,world Top Word Pairs in Tweet in G6:
[47] ã,ã [23] global,trade [18] pinelopi,goldberg [18] goldberg,penny_wb [18] penny_wb,chief [18] chief,economist [18] economist,worldbank [18] worldbank,writes [18] writes,future [18] future,global Top Word Pairs in Tweet in G7:
[32] world,bank [23] ã,ã [20] global,growth [17] 2,6 [14] global,economic [12] economic,prospects [8] climate,smart [8] œ,œ [7] https,t [7] global,trade Top Word Pairs in Tweet in G8:
[91] reducing,inequality [91] global,poverty [81] much,reducing [81] inequality,matter [81] matter,global [77] new,working [77] working,paper [77] paper,much [77] poverty,daniel [77] daniel,gerszon Top Word Pairs in Tweet in G9:
[94] sub,saharan [94] saharan,africa [89] thirty,years [89] years,ago [89] ago,1 [89] 1,7 [89] 7,world's [89] world's,extreme [89] extreme,poor [89] poor,sub Top Word Pairs in Tweet in G10:
[47] #deforestation,pakistan [47] pakistan,affecting [47] affecting,wider [47] wider,economy [47] economy,#tourism [47] #tourism,#agriculture [47] #agriculture,partly [47] partly,rely [47] rely,benefits [46] hartwigschafer,#deforestation Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: