The graph represents a network of 4,132 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, 31 January 2022 at 17:51 UTC.
The requested start date was Monday, 31 January 2022 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, 32-minute period from Monday, 17 January 2022 at 01:27 UTC to Monday, 31 January 2022 at 00:00 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 : 4132
Unique Edges : 3432
Edges With Duplicates : 10031
Total Edges : 13463
Number of Edge Types : 5
Retweet : 4227
MentionsInRetweet : 6349
Replies to : 196
Mentions : 2133
Tweet : 558
Self-Loops : 590
Reciprocated Vertex Pair Ratio : 0.0170053321804295
Reciprocated Edge Ratio : 0.033441972509565
Connected Components : 145
Single-Vertex Connected Components : 70
Maximum Vertices in a Connected Component : 3564
Maximum Edges in a Connected Component : 12107
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.360854
Graph Density : 0.000413432496204295
Modularity : 0.422912
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,132 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, 31 January 2022 at 17:51 UTC.
The requested start date was Monday, 31 January 2022 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, 32-minute period from Monday, 17 January 2022 at 01:27 UTC to Monday, 31 January 2022 at 00:00 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:
[499] global,economic [399] economic,prospects [341] gdp,growth [338] world,bank's [334] released,global [333] bank's,released [332] prospects,shows [332] shows,p4 [332] p4,link [332] link,annual Top Word Pairs in Tweet in G1:
[114] natural,disasters [106] supported,countries [106] global,debt [104] wbg_ida,supported [104] supporting,countries [103] countries,natural [103] disasters,famine [103] famine,pandemics [103] pandemics,committed [103] committed,supporting Top Word Pairs in Tweet in G2:
[115] covid,19 [102] climate,change [87] income,inequality [73] between,countries [60] raised,global [60] both,within [60] within,between [59] pandemic,raised [58] 19,pandemic [56] learn,more Top Word Pairs in Tweet in G3:
[121] evidence,advisory [121] advisory,panel [104] global,#education [99] global,education [97] worldbank,global [85] panel,#geeap [82] #geeap,report [81] jaimesaavedra22,worldbank [80] hear,jaimesaavedra22 [80] covid,19 Top Word Pairs in Tweet in G4:
[331] global,economic [331] economic,prospects [330] world,bank's [330] bank's,released [330] released,global [329] prospects,shows [329] shows,p4 [329] p4,link [329] link,annual [329] annual,gdp Top Word Pairs in Tweet in G5:
[88] #saveonemilliondyingchildren,day [88] day,resurrection [88] resurrection,day [88] day,need [88] need,bite [88] bite,bread [88] bread,one [88] one,gives [80] mrgondalll,#saveonemilliondyingchildren [76] many,ugandans Top Word Pairs in Tweet in G6:
[226] toby00green,jobbingleftieh [226] jobbingleftieh,lockdowns [226] lockdowns,cast [226] cast,100 [226] 100,million [226] million,people [226] people,extreme [226] extreme,poverty [226] poverty,worldwide [226] worldwide,africa Top Word Pairs in Tweet in G7:
[70] billion,people [44] water,quality [41] global,state [41] state,water [41] quality,surprisingly [41] surprisingly,limited [41] limited,consensus [41] consensus,crucial [41] crucial,policy [41] policy,question Top Word Pairs in Tweet in G8:
[30] ocean,acidification [30] acidification,paired [30] paired,#climate [30] #climate,impacts [30] impacts,warming [30] warming,waters [30] waters,melting [30] melting,ice [30] ice,coastal [30] coastal,erosion Top Word Pairs in Tweet in G9:
[96] country,director [96] junaid,ahmad [96] ahmad,engaging [96] engaging,discussion [91] discussion,range [91] range,issues [91] world,bank [90] met,world [90] bank,country [90] director,mr Top Word Pairs in Tweet in G10:
[16] agricultural,policies [14] policies,deliver [12] climate,smart [10] people,planet [10] planet,economy [10] ifpri,worldbank [10] discussion,frontier [10] frontier,agriculture [9] deliver,better [9] better,value 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: