The graph represents a network of 7,451 Twitter users whose tweets in the requested range contained "#WEF", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 29 May 2022 at 01:22 UTC.
The requested start date was Sunday, 29 May 2022 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 2-day, 1-hour, 19-minute period from Wednesday, 25 May 2022 at 07:53 UTC to Friday, 27 May 2022 at 09:12 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 : 7451
Unique Edges : 5232
Edges With Duplicates : 12836
Total Edges : 18068
Number of Edge Types : 5
Retweet : 5691
MentionsInRetweet : 8421
Tweet : 1577
Replies to : 535
Mentions : 1844
Self-Loops : 1660
Reciprocated Vertex Pair Ratio : 0.00567260940032415
Reciprocated Edge Ratio : 0.0112812248186946
Connected Components : 1007
Single-Vertex Connected Components : 460
Maximum Vertices in a Connected Component : 4965
Maximum Edges in a Connected Component : 14137
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.715675
Graph Density : 0.000178850818637019
Modularity : 0.531625
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,451 Twitter users whose tweets in the requested range contained "#WEF", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 29 May 2022 at 01:22 UTC.
The requested start date was Sunday, 29 May 2022 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 2-day, 1-hour, 19-minute period from Wednesday, 25 May 2022 at 07:53 UTC to Friday, 27 May 2022 at 09:12 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 : #WEF
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:
[380] ecological,revitalization [380] take,full [378] #savesoil,take [378] full,effect [377] wonderful,see [377] revitalization,#savesoil [376] see,dedication [376] dedication,telangana [375] telangana,toward [375] toward,ecological Top Word Pairs in Tweet in G1:
[94] klaus,schwab [87] #davos,#wef [68] #wef,#klausschwab [63] bij,#wef [62] weet,niet [61] schwab,zijn [60] #klausschwab,#wef [58] wat,eerste [58] eerste,wat [58] wat,opkomt Top Word Pairs in Tweet in G2:
[379] ecological,revitalization [377] #savesoil,take [377] take,full [377] full,effect [376] wonderful,see [376] revitalization,#savesoil [375] see,dedication [375] dedication,telangana [374] telangana,toward [374] toward,ecological Top Word Pairs in Tweet in G3:
[114] zutiefst,verstörende [112] klaus,schwabs [109] ende,#wef [109] #wef,treffens [109] treffens,#davos [109] #davos,einmal [109] einmal,klaus [109] schwabs,zutiefst [109] verstörende,kernaussagen [109] kernaussagen,#transhumanismus Top Word Pairs in Tweet in G4:
[40] #wef,#davos [23] #davos,#wef [23] world,economic [22] economic,forum [18] #wef,#wef22 [17] #who,#wef [13] #wef,#who [13] #savesoil,#wef [11] #wef,#wef2022 [10] #wef,#worldeconomicforum Top Word Pairs in Tweet in G5:
[229] delighted,hosting [229] hosting,juliacarbajal [229] juliacarbajal,keynote [229] keynote,speaker [229] speaker,#wef [229] #wef,#davos2022 [229] #davos2022,discussing [229] discussing,blockchain [228] 5irechain,delighted [228] blockchain,sustaina Top Word Pairs in Tweet in G6:
[157] wef,former [157] former,pm [157] pm,zealand [157] zealand,being [157] being,despot [157] despot,force [157] force,world [157] world,leaders [157] leaders,comply [157] comply,transformative Top Word Pairs in Tweet in G7:
[38] world,economic [37] #wef22,#wef [36] economic,forum [36] extrait,tiré [36] tiré,sommet [36] sommet,annuel [36] annuel,#wef [36] #wef,déroule [36] déroule,suisse [36] suisse,développons Top Word Pairs in Tweet in G8:
[30] discussed,sustainable [30] sustainable,aviation [30] aviation,fuels [30] fuels,ms [30] ms,laurenkimuppink [30] laurenkimuppink,wef [30] wef,plan [30] plan,decarbonisation [30] decarbonisation,pathways [30] pathways,towards Top Word Pairs in Tweet in G9:
[114] apparently,coalition [114] coalition,imperialists [114] imperialists,billionaires [114] billionaires,genocidal [114] genocidal,zionists [114] zionists,neonazis [114] neonazis,needs [114] needs,defeat [114] defeat,#russia [114] #russia,save Top Word Pairs in Tweet in G10:
[103] compromiso,ivanduque [103] ivanduque,#wef [103] #wef,mucho [103] mucho,fuerte [103] fuerte,compromiso [103] compromiso,colombianos [103] colombianos,varios [102] omarbula,compromiso [102] varios,regi [62] detrás,decisiones Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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: