The graph represents a network of 2,974 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, 10 August 2020 at 13:47 UTC.
The requested start date was Monday, 10 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, 21-hour, 50-minute period from Monday, 27 July 2020 at 01:37 UTC to Sunday, 09 August 2020 at 23:28 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 : 2974
Unique Edges : 2328
Edges With Duplicates : 5274
Total Edges : 7602
Number of Edge Types : 5
Retweet : 2157
MentionsInRetweet : 3235
Tweet : 379
Mentions : 1699
Replies to : 132
Self-Loops : 397
Reciprocated Vertex Pair Ratio : 0.0148216767021769
Reciprocated Edge Ratio : 0.0292104062072113
Connected Components : 159
Single-Vertex Connected Components : 84
Maximum Vertices in a Connected Component : 2567
Maximum Edges in a Connected Component : 7074
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.558167
Graph Density : 0.00049560593650408
Modularity : 0.467003
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,974 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, 10 August 2020 at 13:47 UTC.
The requested start date was Monday, 10 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, 21-hour, 50-minute period from Monday, 27 July 2020 at 01:37 UTC to Sunday, 09 August 2020 at 23:28 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:
[191] global,value [190] value,chains [167] delivery,systems [148] covid,19 [141] million,people [138] extreme,poverty [134] 100,million [132] people,extreme [131] #covid19,push [130] push,71 Top Word Pairs in Tweet in G1:
[129] extreme,poverty [128] million,people [127] 100,million [126] push,71 [126] people,extreme [125] #covid19,push [125] 71,100 [125] poverty,2020 [125] 2020,worldbank [125] worldbank,aims Top Word Pairs in Tweet in G2:
[64] global,value [64] value,chains [63] solar,energy [59] 20,global [59] global,population [59] 70,countries [59] countries,excellent [59] excellent,conditions [59] conditions,solar [59] energy,high Top Word Pairs in Tweet in G3:
[106] covid19,biggest [106] biggest,shock [106] shock,experienced [106] experienced,global [106] global,#education [106] #education,compilation [106] compilation,40 [106] 40,blogs [105] jaimesaavedra22,covid19 [104] blogs,ed Top Word Pairs in Tweet in G4:
[32] climate,change [25] sofia,bettencourt [20] #sã,otomã [20] otomã,prã [20] prã,ncipe [17] long,term [14] #climateactionwbg,look [14] fernandes,prayed [14] prayed,house [14] house,collapse Top Word Pairs in Tweet in G5:
[48] global,population [46] 20,global [46] population,live [46] live,70 [46] 70,countries [46] countries,excellent [46] excellent,conditions [45] high,potential [45] potential,countries [44] conditions,#solarenergy Top Word Pairs in Tweet in G6:
[106] world,pop [58] nearly,half [58] pop,lives [58] lives,water [58] water,scarcity [58] 2050,nearly [58] nearly,20 [58] pop,risk [56] worldbankwater,nearly [53] half,world Top Word Pairs in Tweet in G7:
[98] delivery,systems [39] policy,design [39] design,delivery [39] systems,work [39] work,hand [39] hand,hand [39] hand,achieve [35] #socialprotection,delivery [34] achieve,meaningful [31] systems,matter Top Word Pairs in Tweet in G8:
[61] afdb_group,adb_hq [56] adb_hq,ebrd [50] ebrd,eib [47] worldbank,isdb_group [43] eib,the_idb [41] bidinvest,worldbank [40] the_idb,bidinvest [28] joint,report [22] report,afdb_group [19] climate,finance Top Word Pairs in Tweet in G9:
[10] world,bank [10] covid,19 [5] gas,flaring [5] climate,change [4] global,economy [3] global,gas [3] bank,report [3] global,productivity [3] productivity,trends [3] trends,drivers Top Word Pairs in Tweet in G10:
[41] rapid,assessment [41] assessment,survey [32] global,covid [32] covid,19 [31] participate,global [31] worldbank,wef [29] 19,rapid [22] shape,future [20] cambridgealtfin,worldbank [20] global,#covid19 Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: