The graph represents a network of 7,621 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, 11 December 2022 at 02:21 UTC.
The requested start date was Sunday, 11 December 2022 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 2-day, 12-hour, 24-minute period from Wednesday, 07 December 2022 at 20:49 UTC to Saturday, 10 December 2022 at 09:13 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 : 7621
Unique Edges : 2716
Edges With Duplicates : 13333
Total Edges : 16049
Number of Edge Types : 5
Tweet : 811
Retweet : 6195
MentionsInRetweet : 7049
Replies to : 702
Mentions : 1292
Self-Loops : 891
Reciprocated Vertex Pair Ratio : 0.00252585999518884
Reciprocated Edge Ratio : 0.00503899220155969
Connected Components : 588
Single-Vertex Connected Components : 256
Maximum Vertices in a Connected Component : 6056
Maximum Edges in a Connected Component : 13842
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 4.39487
Graph Density : 0.000143528673533313
Modularity : 0.477548
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,621 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, 11 December 2022 at 02:21 UTC.
The requested start date was Sunday, 11 December 2022 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 2-day, 12-hour, 24-minute period from Wednesday, 07 December 2022 at 20:49 UTC to Saturday, 10 December 2022 at 09:13 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:
[2148] #wef,#klausschwab [1850] great,reset [1824] watch,wears [1824] reset,watch [1824] signs,great [1824] wears,#wef [1822] wallstreetsilv,signs [1003] useless,humans [1003] life,hack [1003] never,take Top Word Pairs in Tweet in G1:
[2034] #wef,#klausschwab [1786] great,reset [1782] signs,great [1782] wears,#wef [1782] reset,watch [1782] watch,wears [1781] wallstreetsilv,signs [956] health,advice [956] hack,never [956] life,hack Top Word Pairs in Tweet in G2:
[174] tegen,wens [174] ingestemd,met [173] tweede,kamer [173] staatssecretaris,#vanhuffelen [173] met,verdere [173] heeft,tegen [173] #d66,staatssecretaris [173] kamer,ingestemd [173] verdere,ontwikkeling [173] wens,tweede Top Word Pairs in Tweet in G3:
[390] between,chrystia [390] seeing,communications [390] trustees,colleagues [390] chrystia,freeland [390] #wef,board [390] board,trustees [390] colleagues,others [390] communications,between [390] anyone,interested [390] freeland,#wef Top Word Pairs in Tweet in G4:
[73] plan,lock [52] sophiadahl1,#wef [46] elon,schwab [46] #bioengineering,#ccp [46] #moderna,#biontech [46] #pfizer,#moderna [46] #astrazeneca,#pfizer [46] #cern,#darpa [46] #transhumanism,#astrazeneca [46] #ccp,#cern Top Word Pairs in Tweet in G5:
[18] #nwo,#wef [16] #wef,#klausschwab [11] #fbi,#agenda2030 [11] #hillaryclinton,#socialism [11] hunter,biden [11] #obama,#hillaryclinton [11] #jeffereyepstein,#trump [11] trump,doj [11] #midterms,#fraud [11] #agenda2030,#georgesoros Top Word Pairs in Tweet in G6:
[58] hele,land [58] #marokko,dan [58] samen,hele [58] land,slopen [58] wij,samen [58] slopen,#regering [58] ik,ben [58] kunnen,wij [58] vanaf,nu [58] #regering,#wef Top Word Pairs in Tweet in G7:
[33] #wef's,advisor [33] thead,#wef's [33] #wef,#wefpuppets [33] #wefpuppets,guess [33] advisor,governments [33] governments,#wefpuppets [33] sh,thead [32] goufay,sh [30] #wefpuppets,#wefisevil [29] gotasecret_plll,#wef Top Word Pairs in Tweet in G8:
[78] millions,canadians [69] liberal,government [69] government,discriminated [69] against,millions [69] medical,procedure [69] canadians,undergoing [69] discriminated,against [69] undergoing,medical [68] canadafreedom18,liberal [44] grinning,blaming Top Word Pairs in Tweet in G9:
[18] #liberals,#hoc [18] #ndp,#greens [18] #blocq,#liberals [18] hoccommittees,hocspeaker [18] #hoc,hoccommittees [18] #greens,#cpc [18] person,asks [18] hocchamber,pierrepoilievre [18] #cpc,#blocq [16] ourcommons,hocchamber Top Word Pairs in Tweet in G10:
[48] world,governance [48] governance,happening [48] push,towards [48] before,eyes [48] globalist,push [48] perpetrators,gaslight [48] eyes,perpetrators [48] centralised,world [48] towards,centralised [48] happening,before 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 Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: