The graph represents a network of 3,136 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, 15 February 2021 at 15:36 UTC.
The requested start date was Monday, 15 February 2021 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, 23-hour, 8-minute period from Monday, 01 February 2021 at 01:30 UTC to Monday, 15 February 2021 at 00:39 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 : 3136
Unique Edges : 2879
Edges With Duplicates : 6295
Total Edges : 9174
Number of Edge Types : 5
Retweet : 2647
MentionsInRetweet : 4164
Replies to : 137
Mentions : 1862
Tweet : 364
Self-Loops : 385
Reciprocated Vertex Pair Ratio : 0.0180995475113122
Reciprocated Edge Ratio : 0.0355555555555556
Connected Components : 141
Single-Vertex Connected Components : 63
Maximum Vertices in a Connected Component : 2728
Maximum Edges in a Connected Component : 8542
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.224485
Graph Density : 0.000526376818670052
Modularity : 0.44854
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 3,136 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, 15 February 2021 at 15:36 UTC.
The requested start date was Monday, 15 February 2021 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, 23-hour, 8-minute period from Monday, 01 February 2021 at 01:30 UTC to Monday, 15 February 2021 at 00:39 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:
[288] climate,change [170] covid,19 [154] human,development [149] #climatechange,threatens [149] threatens,erode [149] erode,progress [149] progress,nearly [149] nearly,area [149] area,human [149] development,2050 Top Word Pairs in Tweet in G1:
[109] climate,change [65] poor,nigerians [65] nigerians,increase [65] increase,15 [65] 15,million [65] million,soon [65] soon,worldbank [65] worldbank,sahara [65] sahara,reporters [65] reporters,nigeriagov Top Word Pairs in Tweet in G2:
[126] wbg_climate,#climatechange [99] #climatechange,threatens [99] threatens,erode [99] erode,progress [99] progress,nearly [99] nearly,area [99] area,human [99] human,development [99] development,2050 [99] 2050,force Top Word Pairs in Tweet in G3:
[9] according,unfpa [9] unfpa,due [9] due,#covid19 [9] #covid19,additional [9] additional,million [9] million,girls [9] girls,projected [9] projected,risk [9] risk,undergoing [8] women,girls Top Word Pairs in Tweet in G4:
[34] worldbank,global [29] global,director [24] climate,change [23] davidmalpasswbg,pleased [23] pleased,host [23] host,axios' [23] axios',dionrabouin [23] dionrabouin,worldbank [23] worldbank,discuss [23] discuss,#covid19 Top Word Pairs in Tweet in G5:
[31] reinvent,transport [29] wake,#covid19 [29] #covid19,reinvent [29] transport,rebuild [29] rebuild,economy [29] economy,take [29] take,climate [25] head,wto [25] wto,deals [25] deals,many Top Word Pairs in Tweet in G6:
[43] poor,teaching [43] policies,appropriately [43] appropriately,recruit [38] teaching,fault [38] fault,#teachers [38] #teachers,result [38] result,system [38] system,level [38] level,policies [36] wbg_education,poor Top Word Pairs in Tweet in G7:
[19] mainly,achieved [19] achieved,kengen's [19] kengen's,collaborative [19] collaborative,efforts [19] efforts,global [19] global,bodies [19] bodies,unfccc [18] kengenkenya,mainly [18] unfccc,worldban [8] green,recovery Top Word Pairs in Tweet in G8:
[72] #savewater,save [72] save,#environment [72] #environment,take [72] take,#services [72] #services,npc_india_gov [72] npc_india_gov,#wateraudit [72] #wateraudit,save [72] save,water [71] vijayne11088447,#savewater [59] water,worldbankindia Top Word Pairs in Tweet in G9:
[11] governments,around [11] around,world [11] world,taking [11] taking,rapid [11] rapid,measures [11] measures,address [11] address,global [11] global,pandemic [11] pandemic,learn [11] learn,worldbank Top Word Pairs in Tweet in G10:
[21] ø,ù [20] ù,ù [17] ù,ø [16] ø,ø [14] learn,more [13] #environment,learn [11] world,bank [5] effective,teachers [5] global,platform [4] realizing,promise 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 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:
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: