The graph represents a network of 4,620 Twitter users whose recent tweets contained "#WEF", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 01:22 UTC.
The tweets in the network were tweeted over the 704-day, 3-hour, 19-minute period from Tuesday, 13 April 2021 at 20:40 UTC to Sunday, 19 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4620
Unique Edges : 2441
Edges With Duplicates : 10352
Total Edges : 12793
Number of Edge Types : 9
Retweet : 3647
MentionsInRetweet : 4727
Replies to : 917
MentionsInReplyTo : 1357
Quote : 507
MentionsInQuote : 140
Tweet : 875
Mentions : 239
MentionsInQuoteReply : 384
Self-Loops : 1110
Reciprocated Vertex Pair Ratio : 0.0077834179357022
Reciprocated Edge Ratio : 0.0154466084620551
Connected Components : 377
Single-Vertex Connected Components : 122
Maximum Vertices in a Connected Component : 3453
Maximum Edges in a Connected Component : 10530
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.912335
Graph Density : 0.000279103158514286
Modularity : 0.454497
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,620 Twitter users whose recent tweets contained "#WEF", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 01:22 UTC.
The tweets in the network were tweeted over the 704-day, 3-hour, 19-minute period from Tuesday, 13 April 2021 at 20:40 UTC to Sunday, 19 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[279] farmers,protest [275] provincial,elections [274] party,won [274] #netherlands,farmers [274] won,provincial [274] protest,party [250] meer,dan [249] andrew,bridgen [246] wat,haar [246] huffelen,marionet Top Word Pairs in Tweet in G1:
[245] #zelenskywarcriminal,#zelenskyywarcriminal [245] #wef,#natorussiawar [245] #natorussiawar,#notmywar [242] #zelenskyywarcriminal,#wef [212] meer,dan [211] alexandra,huffelen [211] huffelen,marionet [211] heeft,heel [211] denkt,dit [211] lelijke,mormeltje Top Word Pairs in Tweet in G2:
[74] 45,000 [74] discovered,45 [74] killed,within [74] 000,people [74] continued,mandate [74] within,days [74] people,killed [74] covered,continued [74] renztom,discovered [74] attorney,renztom Top Word Pairs in Tweet in G3:
[57] covid,injections [57] mps,told [57] injections,causing [57] fact,covid [57] anything,fact [57] causing,long [57] #wef,anything [57] told,#wef [56] long,ter [56] josephinejarrow,mps Top Word Pairs in Tweet in G4:
[196] andrew,bridgen [191] #covid19,poison [191] bridgen,talking [191] poison,jab [191] jab,none [191] talking,#covid19 [191] seven,mps [191] mps,listening [191] listening,andrew [122] marksteynonline,seven Top Word Pairs in Tweet in G5:
[227] weer,goed [227] zijn,kinderen [227] vlaggen,weer [227] kinderen,terug [227] terug,#toeslagenouders [227] #farmersdefenceforce,willen [227] maar,zijn [227] hangen,maar [227] zijn,die [227] goed,hangen Top Word Pairs in Tweet in G6:
[195] won,provincial [195] farmers,protest [195] party,won [195] provincial,elections [195] protest,party [195] elections,eat [195] victory,#wethepeople [195] #wethepeople,#netherlands [195] #netherlands,farmers [195] big,victory Top Word Pairs in Tweet in G7:
[100] #wef,muttet [100] tiedä,mitä [100] ajaa,#greatreset [100] agendaa,järjestö [100] järjestöön,#wef [100] muttet,tiedä [100] mitä,agendaa [100] järjestö,ajaa [100] kuulut,järjestöön [100] kysymys,aiheutti Top Word Pairs in Tweet in G8:
[22] #nwo,#globalreset [22] #globalreset,#wef [20] #wef,#worldeconomicforum [17] #worldeconomicforum,#agenda2030 [16] #world,#trending [16] #agenda2030,#world [12] #newworldorder,#cabal [12] #trending,#newworldorder [12] #agenda2030,#nwo [11] #newworldorder,#wef Top Word Pairs in Tweet in G9:
[63] #internetofbodies,#wef [63] human,trafficking [63] canada,kindly [63] move,#internetofbodies [63] click,link [63] kindly,click [63] sophisticated,human [63] trafficking,canada [63] speak,end [63] support,move Top Word Pairs in Tweet in G10:
[25] #worldeconomicforum,#wef [23] #newworldorder,#nwo [23] #alternativeworldorder,#awo [23] #racerelations,#alternativeworldorder [23] #nwo,#reparationnation [23] #awo,#newworldorder [23] #reparationnation,#reparationsmasons [23] #racialcurrency,#worldeconomicforum [23] #wef,#globalism [21] #bankforinternationalsettlements,#bankforinterracialsettlements Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G7:
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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 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: