The graph represents a network of 3,544 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, 03 August 2020 at 13:47 UTC.
The requested start date was Monday, 03 August 2020 at 00:01 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, 14-hour, 21-minute period from Monday, 20 July 2020 at 00:21 UTC to Sunday, 02 August 2020 at 14:42 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 : 3544
Unique Edges : 2871
Edges With Duplicates : 6191
Total Edges : 9062
Number of Edge Types : 5
Retweet : 2524
MentionsInRetweet : 3820
Tweet : 416
Mentions : 2133
Replies to : 169
Self-Loops : 446
Reciprocated Vertex Pair Ratio : 0.0126339969372129
Reciprocated Edge Ratio : 0.024952741020794
Connected Components : 167
Single-Vertex Connected Components : 86
Maximum Vertices in a Connected Component : 3045
Maximum Edges in a Connected Component : 8362
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.680959
Graph Density : 0.000421299366888195
Modularity : 0.473511
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 3,544 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, 03 August 2020 at 13:47 UTC.
The requested start date was Monday, 03 August 2020 at 00:01 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, 14-hour, 21-minute period from Monday, 20 July 2020 at 00:21 UTC to Sunday, 02 August 2020 at 14:42 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:
[265] world,bank [248] covid,19 [148] gas,flaring [147] global,value [144] value,chains [134] global,gas [131] million,people [129] global,#education [126] biggest,shock [126] shock,experienced Top Word Pairs in Tweet in G1:
[59] covid,19 [50] global,value [50] value,chains [49] levels,last [49] last,seen [49] seen,2009 [46] worldbank,global [43] dfid_uk,worldbank [41] global,#gasflaring [41] evidence,works Top Word Pairs in Tweet in G2:
[108] million,people [101] extreme,poverty [100] #covid19,push [100] push,71 [100] 71,100 [100] 100,million [100] people,extreme [100] poverty,2020 [100] 2020,worldbank [100] worldbank,aims Top Word Pairs in Tweet in G3:
[79] covid,19 [79] global,value [78] value,chains [61] africa,asia [57] cope,supply [57] supply,chain [57] chain,disruptions [55] asia,#covid19 [55] #covid19,hurting [55] hurting,jobs Top Word Pairs in Tweet in G4:
[33] climate,change [27] long,term [24] help,countries [21] ahead,2050 [21] 2050,help [21] countries,unlock [21] unlock,economic [21] economic,opportunities [20] term,#decarbonization [20] #decarbonization,looks Top Word Pairs in Tweet in G5:
[104] covid19,biggest [104] biggest,shock [104] shock,experienced [104] experienced,global [104] global,#education [104] #education,compilation [104] compilation,40 [104] 40,blogs [103] jaimesaavedra22,covid19 [103] blogs,ed Top Word Pairs in Tweet in G6:
[67] top,10 [64] world,bank [57] 10,improvers [56] govt,major [56] major,reforms [56] reforms,business [56] business,sector [56] sector,put [56] put,pakistan [56] pakistan,world Top Word Pairs in Tweet in G7:
[104] world,pop [52] nearly,half [52] half,world [52] pop,lives [52] lives,water [52] water,scarcity [52] scarcity,2050 [52] 2050,nearly [52] nearly,20 [52] 20,world Top Word Pairs in Tweet in G8:
[23] data,3d [19] immerse,yourself [19] yourself,latest [19] latest,global [19] global,energy [19] energy,data [19] 3d,understand [19] understand,progress [19] progress,made [19] made,gaps Top Word Pairs in Tweet in G9:
[85] rapid,assessment [58] assessment,survey [47] global,covid [47] covid,19 [39] market,rapid [38] worldbank,wef [37] #covid19,#fintech [34] shape,future [34] participate,global [30] great,interview Top Word Pairs in Tweet in G10:
[10] world,bank [9] bank,group [8] impact,#covid19 [8] dr,mickey [8] mickey,chopra [8] #chambal,ravines [8] ravines,geological [8] geological,wonder [8] wonder,unique [8] unique,ecosystem 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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