The graph represents a network of 5,040 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, 25 October 2021 at 16:52 UTC.
The requested start date was Monday, 25 October 2021 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, 23-hour, 14-minute period from Monday, 11 October 2021 at 00:30 UTC to Sunday, 24 October 2021 at 23:44 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 : 5040
Unique Edges : 5058
Edges With Duplicates : 13607
Total Edges : 18665
Number of Edge Types : 5
Replies to : 304
Mentions : 3566
Retweet : 5408
MentionsInRetweet : 8818
Tweet : 569
Self-Loops : 622
Reciprocated Vertex Pair Ratio : 0.0194053208137715
Reciprocated Edge Ratio : 0.0380718452563709
Connected Components : 148
Single-Vertex Connected Components : 85
Maximum Vertices in a Connected Component : 4704
Maximum Edges in a Connected Component : 18238
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.216795
Graph Density : 0.000384737145503171
Modularity : 0.36481
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,040 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, 25 October 2021 at 16:52 UTC.
The requested start date was Monday, 25 October 2021 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, 23-hour, 14-minute period from Monday, 11 October 2021 at 00:30 UTC to Sunday, 24 October 2021 at 23:44 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:
[724] climate,change [435] annual,meetings [360] climate,action [267] seasonal,patterns [267] patterns,changing [262] over,last [262] last,four [262] four,decades [262] decades,#bangladesh [262] increased,seasonal Top Word Pairs in Tweet in G1:
[236] annual,meetings [217] climate,change [195] worldbank,imfnews [137] imfnews,annual [123] imfnews,worldbank [121] climate,action [97] change,action [90] action,plan [83] 2021,worldbank [82] reduce,emissions Top Word Pairs in Tweet in G2:
[352] climate,change [181] #voicesforclimate,event [152] climate,action [133] annual,meetings [102] wbg_climate,climate [93] climate,solutions [82] approaches,essential [82] essential,humanity [82] humanity,fulfill [82] fulfill,promise Top Word Pairs in Tweet in G3:
[245] over,last [245] last,four [245] four,decades [245] decades,#bangladesh [245] #bangladesh,temperature [245] temperature,increased [245] increased,seasonal [245] seasonal,patterns [245] patterns,changing [245] changing,long Top Word Pairs in Tweet in G4:
[89] africa,building [89] building,000km [89] 000km,#greatgreenwall [89] #greatgreenwall,backed [89] backed,14 [89] 14,3b [89] 3b,funding [89] funding,afdb_group [89] afdb_group,france [89] france,worldbank Top Word Pairs in Tweet in G5:
[69] fossil,fuels [63] world,bank [52] finance,fossil [32] paris,agreement [31] agreement,world [31] bank,provided [31] provided,12 [31] 12,billion [31] billion,direct [31] direct,project Top Word Pairs in Tweet in G6:
[19] extreme,poverty [17] #covid19,pandemic [16] first,time [16] time,20 [16] 20,years [16] years,global [16] global,extreme [16] poverty,risen [16] risen,#covid19 [16] pandemic,reversed Top Word Pairs in Tweet in G7:
[16] help,countries [15] usaid,working [15] working,international [15] international,partners [15] partners,help [15] countries,prepare [15] prepare,minimize [15] minimize,impacts [15] impacts,disasters [15] disasters,climate Top Word Pairs in Tweet in G8:
[50] urban,climate [41] climate,action [31] climate,crisis [30] date,000 [30] 000,cities [30] 20,urban [30] urban,residents [30] residents,climate [30] action,plans [26] climate,change Top Word Pairs in Tweet in G9:
[35] #cop26,approaching [35] approaching,fast [35] fast,multiplying [35] multiplying,#wallstreetconsensus [35] #wallstreetconsensus,takes [35] takes,mint [35] mint,everything [35] everything,asset [35] asset,class [34] danielagabor,#cop26 Top Word Pairs in Tweet in G10:
[41] extreme,poverty [39] globally,years [39] years,progress [39] progress,reducing [39] reducing,extreme [39] poverty,lost [39] lost,due [39] due,#covid19 [39] #covid19,low [39] low,income 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 G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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:
Top Tweeters in G2:
Top Tweeters in G3:
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: