The graph represents a network of 5,291 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 02:24 UTC.
The tweets in the network were tweeted over the 1172-day, 4-hour, 15-minute period from Wednesday, 04 December 2019 at 20:42 UTC to Sunday, 19 February 2023 at 00:58 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 : 5291
Unique Edges : 2919
Edges With Duplicates : 9950
Total Edges : 12869
Number of Edge Types : 9
Retweet : 3370
MentionsInRetweet : 4069
Quote : 585
Tweet : 1079
Replies to : 913
MentionsInReplyTo : 2078
Mentions : 434
MentionsInQuoteReply : 194
MentionsInQuote : 147
Self-Loops : 1396
Reciprocated Vertex Pair Ratio : 0.0112532757823339
Reciprocated Edge Ratio : 0.0222560975609756
Connected Components : 398
Single-Vertex Connected Components : 116
Maximum Vertices in a Connected Component : 4142
Maximum Edges in a Connected Component : 10763
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.595313
Graph Density : 0.000234374525489837
Modularity : 0.492404
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,291 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 02:24 UTC.
The tweets in the network were tweeted over the 1172-day, 4-hour, 15-minute period from Wednesday, 04 December 2019 at 20:42 UTC to Sunday, 19 February 2023 at 00:58 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:
[1065] protest,against [1057] today,protest [1056] against,wef [1055] 15minute,city [1055] city,plan [1055] control,oxford [1055] wef,15minute [1055] oxford,guinea [1055] rise,today [1055] plan,exercising Top Word Pairs in Tweet in G1:
[988] plan,exercising [988] oxford,rise [988] against,wef [988] control,oxford [988] oxford,guinea [988] protest,against [988] wef,15minute [988] rise,today [988] 15minute,city [988] exercising,control Top Word Pairs in Tweet in G2:
[47] #wef,#greatreset [47] #agenda2030,#wef [28] co,52oazxl8k3 [28] co,yimwxb0voe [28] yimwxb0voe,co [27] #zelenskywarcriminal,#zelenskyywarcriminal [27] co,sbwuefq7bq [27] #zelenskyywarcriminal,co [26] 52oazxl8k3,co [23] niet,eens Top Word Pairs in Tweet in G3:
[188] #agenda2030,#wef [184] #vaccinegenocide,#agenda2030 [184] time,stand [184] #wef,#fda [184] stand,fight [183] fight,dr [182] against,fauci [182] fauci,peter [182] charges,against [182] murder,charges Top Word Pairs in Tweet in G4:
[17] rapes,ability [17] rapes,freedom [17] #cbdc,illegals [17] protesting,#cbdc [17] illegals,invasion [17] invasion,rapes [17] #wef,rishisunak [17] rishisunak,rapes [17] freedom,protesting [17] ability,vote Top Word Pairs in Tweet in G5:
[148] ve,never [148] worthless,ve [148] never,felt [148] felt,more [148] admin,worthless [148] more,scared [148] corrupt,admin [148] scared,country [148] biden,corrupt [148] cheating,biden Top Word Pairs in Tweet in G6:
[38] lead,representative [38] see,#trump2024 [38] support,#wethepeople [38] going,go [38] #eastpalenstine,lead [38] representative,#wef [38] #wethepeople,#eastpalenstine [38] #trump2024,going [38] go,support [37] renztom,see Top Word Pairs in Tweet in G7:
[83] #wef,plannen [79] plannen,15 [79] minute,cities [79] uk,komt [79] die,engeland [79] 15,minute [79] tegen,#wef [79] cities,die [79] engeland,momenteel [79] komt,massaal Top Word Pairs in Tweet in G8:
[122] 15,minuten [73] gegen,die [71] kundgebung,gegen [71] geplanten,15 [70] seikritisch,#oxford [59] minuten,städte [57] die,#wef [56] #oxford,kundgebung [56] #wef,geplanten [56] städte,#agenda2030 Top Word Pairs in Tweet in G9:
[20] #wef,marxist [17] junior,mean [17] mandates,censoring [17] fidel,junior [17] justice,roleau [17] excellency,impose [17] tyrant,fidel [17] wishes,pierrepoilievre [17] great,excellency [17] restrictions,mandates Top Word Pairs in Tweet in G10:
[94] fire,manufacturing [94] facility,11th [94] orchestrated,attacks [94] heights,morning [94] washington,orchestrated [94] 11th,washington [94] morning,fire [94] chicago,heights [94] manufacturing,facility [93] wallstreetapes,chicago 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: