The graph represents a network of 3,151 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 August 2020 at 13:46 UTC.
The requested start date was Monday, 31 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, 22-hour, 59-minute period from Monday, 17 August 2020 at 01:00 UTC to Monday, 31 August 2020 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 : 3151
Unique Edges : 2693
Edges With Duplicates : 5960
Total Edges : 8653
Number of Edge Types : 5
Retweet : 2514
MentionsInRetweet : 4048
Mentions : 1636
Replies to : 130
Tweet : 325
Self-Loops : 341
Reciprocated Vertex Pair Ratio : 0.0110976594027441
Reciprocated Edge Ratio : 0.0219517062462582
Connected Components : 131
Single-Vertex Connected Components : 64
Maximum Vertices in a Connected Component : 2776
Maximum Edges in a Connected Component : 8172
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.477705
Graph Density : 0.000504853586414996
Modularity : 0.483161
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 3,151 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 August 2020 at 13:46 UTC.
The requested start date was Monday, 31 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, 22-hour, 59-minute period from Monday, 17 August 2020 at 01:00 UTC to Monday, 31 August 2020 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:
[278] gt,gt [220] world,bank [217] global,value [209] value,chains [158] young,professionals [156] professionals,program [146] global,price [146] price,gender [146] gender,inequality [144] online,course Top Word Pairs in Tweet in G1:
[266] gt,gt [146] global,price [146] price,gender [146] gender,inequality [132] inequality,source [132] source,worldbank [132] worldbank,link [132] link,gt [131] gt,antgrasso [108] antgrasso,global Top Word Pairs in Tweet in G2:
[91] young,professionals [90] professionals,program [84] program,recruiting [64] recruiting,roles [62] roles,ifc_org [62] ifc_org,miga [62] miga,encourage [62] encourage,qualified [62] qualified,candidates [61] global,career Top Word Pairs in Tweet in G3:
[87] #biafrakillings,global [87] global,conspiracy [87] conspiracy,telling [87] telling,eu [87] eu,realdonaldtrump [87] realdonaldtrump,netanyahu [87] netanyahu,secpompeo [86] ipobosisiomalga,#biafrakillings [13] global,trade [12] wef,worldbank Top Word Pairs in Tweet in G4:
[57] climate,change [44] water,security [30] global,water [30] security,sanitation [30] sanitation,partnership [30] partnership,2030wrg [30] 2030wrg,increasing [30] increasing,stakeholder [30] stakeholder,cooperation [28] worldbankwater,global Top Word Pairs in Tweet in G5:
[85] solar,energy [66] 20,global [66] global,population [66] population,live [66] live,70 [66] 70,countries [66] countries,excellent [66] excellent,conditions [65] wbg_energy,20 [50] conditions,solar Top Word Pairs in Tweet in G6:
[20] global,value [20] value,chains [19] chains,#gvcs [13] online,course [11] see,data [10] free,online [10] global,progress [9] left,reach [8] don,miss [8] miss,global Top Word Pairs in Tweet in G7:
[35] global,value [31] online,course [28] value,chains [25] chains,#gvcs [15] delivery,systems [13] free,online [11] learn,global [11] #gvcs,shape [11] globe,sign [11] sign,online Top Word Pairs in Tweet in G8:
[24] we've,seen [24] seen,#youth4globalaction [24] #youth4globalaction,rise [24] rise,omeiza [24] omeiza,#nigeria [24] #nigeria,calls [24] calls,support [24] support,entrepreneurship [22] wbg_nigeria,we've [22] entrepreneurship,#resilientrec Top Word Pairs in Tweet in G9:
[50] urban,areas [48] one,result [48] result,#covid19 [48] #covid19,30 [48] 30,global [48] global,poor [48] poor,live [48] live,urban [48] areas,economic [48] economic,slowdown Top Word Pairs in Tweet in G10:
[20] world,bank [8] business,climate [8] probe,data [7] bank,halts [7] halts,country [7] country,business [6] climate,rankings [6] rankings,probe [6] data,irregularities [4] global,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 G6:
Top Replied-To in G7:
Top Replied-To in G9:
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 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: