The graph represents a network of 2,424 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, 24 August 2020 at 13:46 UTC.
The requested start date was Monday, 24 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 12-day, 10-hour, 47-minute period from Monday, 10 August 2020 at 00:17 UTC to Saturday, 22 August 2020 at 11:05 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 : 2424
Unique Edges : 2351
Edges With Duplicates : 4135
Total Edges : 6486
Number of Edge Types : 5
Retweet : 1772
MentionsInRetweet : 2882
Mentions : 1421
Tweet : 306
Replies to : 105
Self-Loops : 315
Reciprocated Vertex Pair Ratio : 0.0146642655003859
Reciprocated Edge Ratio : 0.0289046653144016
Connected Components : 122
Single-Vertex Connected Components : 56
Maximum Vertices in a Connected Component : 2043
Maximum Edges in a Connected Component : 6032
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.375234
Graph Density : 0.000671507513937527
Modularity : 0.498174
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,424 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, 24 August 2020 at 13:46 UTC.
The requested start date was Monday, 24 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 12-day, 10-hour, 47-minute period from Monday, 10 August 2020 at 00:17 UTC to Saturday, 22 August 2020 at 11:05 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:
[174] climate,change [160] global,value [155] value,chains [134] online,course [116] chains,#gvcs [111] covid,19 [84] #covid19,pandemic [80] solar,energy [80] young,professionals [79] professionals,program Top Word Pairs in Tweet in G1:
[100] global,value [100] value,chains [76] online,course [71] chains,#gvcs [41] free,online [40] covid,19 [40] healthy,economy [39] economy,people [39] people,planet [39] delivers,healthy Top Word Pairs in Tweet in G2:
[77] young,professionals [76] professionals,program [75] program,recruiting [67] recruiting,roles [65] roles,ifc_org [65] ifc_org,miga [64] miga,encourage [64] encourage,qualified [64] qualified,candidates [63] svonfriedeburg,young Top Word Pairs in Tweet in G3:
[47] climate,change [43] worldbankwater,climate [32] water,security [27] sewers,essential [27] essential,urban [27] urban,sanitation [27] sanitation,environment [27] environment,public [27] public,health [27] health,join Top Word Pairs in Tweet in G4:
[30] rapid,assessment [29] assessment,survey [28] worldbank,wef [22] cambridgealtfin,worldbank [20] #covid19,#fintech [19] global,#covid19 [15] #fintech,mkt [15] mkt,rapid [14] covid,19 [12] global,covid Top Word Pairs in Tweet in G5:
[69] solar,energy [50] response,global [50] global,challenge [50] challenge,climate [50] climate,change [50] change,solar [50] energy,technology [50] technology,opportunity [50] opportunity,countries [49] wbg_energy,response Top Word Pairs in Tweet in G6:
[40] urban,areas [39] 30,global [39] global,poor [38] live,urban [36] one,result [36] result,#covid19 [36] #covid19,30 [36] poor,live [36] areas,economic [36] economic,slowdown Top Word Pairs in Tweet in G7:
[13] improve,#roadsafety [12] pandemic,given [12] given,glimpse [12] glimpse,pedestrian [12] pedestrian,friendly [12] friendly,bike [12] bike,friendly [12] friendly,city [12] city,look [12] look,fewer Top Word Pairs in Tweet in G8:
[7] world,bank [4] global,value [3] global,pandemic [3] covid,19 [3] value,chains [2] recession,global [2] dünya,bankası'nın [2] food,crisis [2] climate,change [2] april,world Top Word Pairs in Tweet in G9:
[21] #covid19,pandemic [14] online,course [12] developing,countries [12] during,#covid19 [11] 30,global [11] global,poor [11] join,thurs [11] thurs,aug13 [11] aug13,3pm [11] 3pm,webinar 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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