The graph represents a network of 4,224 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, 14 October 2019 at 13:44 UTC.
The requested start date was Monday, 14 October 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, 13-hour, 24-minute period from Monday, 30 September 2019 at 00:30 UTC to Sunday, 13 October 2019 at 13:54 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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[351] worldbank,global [338] global,value [336] value,chains [321] global,education [307] education,director [306] jaimesaavedra22,worldbank [306] director,former [306] former,minister [306] minister,education [306] education,#peru Top Word Pairs in Tweet in G1:
[247] top,20 [211] 20,improved [208] ease,doing [207] worldbank,listing [207] listing,india [207] india,top [207] improved,countries [207] countries,those [207] those,implemented [207] implemented,maximum Top Word Pairs in Tweet in G2:
[129] ø,ø [123] ø,ù [104] ù,ø [69] world,bank [65] learn,more [58] gt,gt [56] find,out [55] #climate,adaptation [55] adaptation,homes [55] homes,farms Top Word Pairs in Tweet in G3:
[111] worldbankafrica,albertzeufack [107] economic,growth [97] albertzeufack,worldbankafrica [83] worldbankafrica,unleashing [83] unleashing,african [83] african,women [83] women,s [83] s,unmet [83] unmet,potential [83] potential,bring Top Word Pairs in Tweet in G4:
[85] ø,ø [77] ù,ø [73] ø,ù [28] ù,ù [26] global,currency [22] world,needed [21] joelosteen,psraymccauley [21] psraymccauley,joshuamccauley [21] joshuamccauley,celliersj1 [21] celliersj1,firstrand Top Word Pairs in Tweet in G5:
[306] global,education [306] education,director [305] jaimesaavedra22,worldbank [305] worldbank,global [305] director,former [305] former,minister [305] minister,education [305] education,#peru [304] #peru,shares [304] shares,mckinsey Top Word Pairs in Tweet in G6:
[35] climate,change [17] nearly,third [17] third,global [17] global,land [17] land,area [17] area,degraded [17] degraded,costing [17] costing,around [17] around,300 [17] 300,billion Top Word Pairs in Tweet in G7:
[29] without,healthy [29] healthy,educated [29] educated,resilient [29] resilient,population [29] population,women [29] women,men [29] men,equal [29] equal,opportunities [29] opportunities,countries [28] adixon_wb,without Top Word Pairs in Tweet in G8:
[106] global,value [106] value,chains [45] global,trade [36] world,development [36] development,report [30] trading,development [28] penny_wb,worldbank [28] development,age [28] age,global [25] worldbank,launches Top Word Pairs in Tweet in G9:
[51] à,à [25] world,urgently [25] urgently,needs [25] needs,quicken [25] quicken,steps [25] steps,reduce [25] reduce,global [25] global,warming [25] warming,imf [20] global,value Top Word Pairs in Tweet in G10:
[26] boi,investinpak [26] top,20 [26] 20,global [25] good,news [25] news,pakistan [25] investinpak,leads [25] leads,way [25] way,worldbank [25] worldbank,lists [25] lists,pakistan Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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