The graph represents a network of 3,881 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 November 2019 at 16:07 UTC.
The requested start date was Monday, 25 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 50-minute period from Monday, 11 November 2019 at 01:01 UTC to Monday, 25 November 2019 at 00:52 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 : 3881
Unique Edges : 5926
Edges With Duplicates : 2318
Total Edges : 8244
Number of Edge Types : 3
Mentions : 7736
Replies to : 160
Tweet : 348
Self-Loops : 348
Reciprocated Vertex Pair Ratio : 0.0214363949303708
Reciprocated Edge Ratio : 0.0419730392156863
Connected Components : 115
Single-Vertex Connected Components : 56
Maximum Vertices in a Connected Component : 3571
Maximum Edges in a Connected Component : 7898
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.349432
Graph Density : 0.000433515647205391
Modularity : 0.592144
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,881 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 November 2019 at 16:07 UTC.
The requested start date was Monday, 25 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 50-minute period from Monday, 11 November 2019 at 01:01 UTC to Monday, 25 November 2019 at 00:52 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:
[273] doing,business [264] africa,poor [255] ease,doing [251] nigeria,worst [251] worst,place [251] place,west [251] west,africa [251] poor,mother [251] mother,poor [251] poor,child Top Word Pairs in Tweet in G1:
[247] doing,business [247] nigeria,worst [247] worst,place [247] place,west [247] west,africa [247] africa,poor [247] poor,mother [247] mother,poor [247] poor,child [247] child,worldbank Top Word Pairs in Tweet in G2:
[93] climate,disaster [76] disaster,risks [76] #resilient,infrastructure [74] infrastructure,matters [74] matters,worsening [74] worsening,climate [70] samehnwahba,headundrr [64] climate,adaptation [59] worldbank,#resilient [59] risks,samehnwahba Top Word Pairs in Tweet in G3:
[31] wef,worldbank [30] world,needed [19] global,currency [17] worldbank,imfnews [14] currency,printed [14] printed,worldbank [12] needed,global [12] perfect,capitalism [11] perfect,markets [9] global,economic Top Word Pairs in Tweet in G4:
[91] sanitation,workers [50] working,conditions [48] many,developing [48] developing,countries [46] dying,alarming [46] alarming,rates [46] rates,many [46] countries,done [46] done,ensure [46] ensure,safe Top Word Pairs in Tweet in G5:
[32] climate,change [25] breaking,eib [25] eib,shows [25] shows,leadership [25] leadership,fight [25] fight,against [25] against,climate [25] change,ban [25] ban,#fossilfuels [25] #fossilfuels,planned Top Word Pairs in Tweet in G6:
[24] without,healthy [24] healthy,educated [24] educated,resilient [24] resilient,population [24] population,women [24] women,men [24] men,equal [24] equal,opportunities [24] opportunities,countries [23] adixon_wb,without Top Word Pairs in Tweet in G7:
[5] atlantis000000,ezvic420 [5] ezvic420,sadieisrael [5] sadieisrael,birdseye1 [5] birdseye1,nightowlbooklvr [5] nightowlbooklvr,ralphs24381648 [5] ralphs24381648,robertmabr [5] robertmabr,3teeas [5] 3teeas,ololabear [4] davidf4444,atlantis000000 [4] ololabear,ohiobot5 Top Word Pairs in Tweet in G8:
[21] global,director [17] director,education [14] tackling,global [14] global,#learningcrisis [13] reducing,#poverty [13] #poverty,#africa [13] #africa,considered [13] considered,global [13] global,priority [13] priority,consider Top Word Pairs in Tweet in G9:
[23] africa,feed [23] feed,africa [23] africa,rich [23] rich,agro [23] agro,ecological [23] ecological,diversity [23] diversity,yes [23] yes,each [23] each,country's [23] country's,government Top Word Pairs in Tweet in G10:
[12] world,bank [10] inequality,future [10] future,capitalism [10] capitalism,conversation [10] conversation,branko [10] branko,milanovic [10] milanovic,#poverty [10] #poverty,#inequality [10] #inequality,#worldbank [10] #worldbank,#imf Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: