The graph represents a network of 4,707 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, 06 June 2021 at 01:14 UTC.
The requested start date was Sunday, 06 June 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, 21-hour, 8-minute period from Sunday, 23 May 2021 at 00:21 UTC to Saturday, 05 June 2021 at 21:29 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 : 4707
Unique Edges : 3434
Edges With Duplicates : 10302
Total Edges : 13736
Number of Edge Types : 5
Mentions : 1566
Replies to : 890
Tweet : 1385
Retweet : 4264
MentionsInRetweet : 5631
Self-Loops : 1567
Reciprocated Vertex Pair Ratio : 0.00924943138741471
Reciprocated Edge Ratio : 0.0183293269230769
Connected Components : 494
Single-Vertex Connected Components : 254
Maximum Vertices in a Connected Component : 3450
Maximum Edges in a Connected Component : 11696
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.786916
Graph Density : 0.000300481121921389
Modularity : 0.423742
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,707 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, 06 June 2021 at 01:14 UTC.
The requested start date was Sunday, 06 June 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, 21-hour, 8-minute period from Sunday, 23 May 2021 at 00:21 UTC to Saturday, 05 June 2021 at 21:29 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:
[589] #hirschhausen,trägt [586] herr,#hirschhausen [517] #greatreset,abzeichen [517] abzeichen,#wef [516] deutschland_77,herr [500] trägt,#greatreset [257] #wef,#impfzwang [257] #impfzwang,#buildbackbetter [254] vs,#billyjack [250] #zerocovid,vs Top Word Pairs in Tweet in G1:
[576] #hirschhausen,trägt [569] herr,#hirschhausen [504] #greatreset,abzeichen [504] abzeichen,#wef [503] deutschland_77,herr [489] trägt,#greatreset [138] libra08101,#wef [89] voller,stolz [89] stolz,#wef [89] #wef,button Top Word Pairs in Tweet in G2:
[182] #wef,#nwo [90] wef,#wef [65] europese,politiek [64] #nwo,grootste [64] grootste,kankergezwel [64] kankergezwel,europese [64] politiek,minpres [64] minpres,angelamerkel_de [64] angelamerkel_de,timmermanseu [63] paulussanderse,wef Top Word Pairs in Tweet in G3:
[110] #who,#wef [82] russian,military [82] military,colonel [82] colonel,exposes [82] exposes,covid [82] covid,19 [82] 19,worldwide [82] worldwide,exercise [82] exercise,elites [82] elites,enslave Top Word Pairs in Tweet in G4:
[117] yes,40 [117] 40,000 [117] 000,handtekeningen [117] handtekeningen,zijn [117] zijn,binnen [117] binnen,#buildbackbetter [117] #buildbackbetter,debat [117] debat,nu [117] nu,nog [117] nog,wat Top Word Pairs in Tweet in G5:
[26] 18,months [24] keep,pushing [24] pushing,crooks [24] crooks,back [24] back,gave [24] gave,inch [24] inch,took [24] took,18 [24] months,#enoughisenough [24] #enoughisenough,#wef Top Word Pairs in Tweet in G6:
[16] economic,forum [15] world,economic [12] wef,nr [12] nr,trending [12] trending,hashtag [10] ãƒ,ム[9] klaus,schwab [8] #wef,#greatreset [8] great,reset [8] #wef,#worldeconomicforum Top Word Pairs in Tweet in G7:
[162] #wec,#wef [159] #wef,#infrastructure [146] #infrastructure,#environment [104] token,allocation [104] allocation,#wholeearthfoundation [104] #wholeearthfoundation,#tokenallocation [104] #tokenallocation,#wec [103] wholeearthfdn,token [101] ecosystem,governance [99] wholeearthfdn,ecosystem Top Word Pairs in Tweet in G8:
[25] klaus,schwab [20] meet,klaus [20] schwab,founder [20] founder,world [20] world,economic [20] economic,forum [20] forum,wef [20] wef,'the [20] 'the,great [20] great,reset' Top Word Pairs in Tweet in G9:
[8] ªðÿ,ªðÿ [5] #wef,#plandemie [5] herr,#hirschhausen [4] die,welt [4] #wef,#schwab [4] #billgates,2008 [4] 2008,alle [4] alle,firmen [4] firmen,vereinigungen [4] vereinigungen,#who Top Word Pairs in Tweet in G10:
[256] #wef,#impfzwang [256] #impfzwang,#buildbackbetter [253] vs,#billyjack [249] #zerocovid,vs [249] #billyjack,#wef [249] #buildbackbetter,go [249] go,#peertube [168] #peertube,#elections [106] thefirstontv,#thefirstontv [106] #thefirstontv,ap Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
Top Tweeters in G1:
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Top Tweeters in G10: