The graph represents a network of 7,194 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, 04 December 2022 at 02:22 UTC.
The requested start date was Sunday, 04 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, 11-hour, 1-minute period from Wednesday, 30 November 2022 at 21:38 UTC to Saturday, 03 December 2022 at 08:40 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 : 7194
Unique Edges : 3618
Edges With Duplicates : 11330
Total Edges : 14948
Number of Edge Types : 5
Retweet : 4929
MentionsInRetweet : 5913
Mentions : 1301
Replies to : 1197
Tweet : 1608
Self-Loops : 1710
Reciprocated Vertex Pair Ratio : 0.00337881741390513
Reciprocated Edge Ratio : 0.00673487890169667
Connected Components : 928
Single-Vertex Connected Components : 513
Maximum Vertices in a Connected Component : 5260
Maximum Edges in a Connected Component : 12118
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.425966
Graph Density : 0.00014920832624589
Modularity : 0.501746
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,194 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, 04 December 2022 at 02:22 UTC.
The requested start date was Sunday, 04 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, 11-hour, 1-minute period from Wednesday, 30 November 2022 at 21:38 UTC to Saturday, 03 December 2022 at 08:40 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:
[2081] klaus,schwab [1795] #wef,#klausschwab [1302] wallstreetsilv,klaus [933] heart,attack [920] second,heart [912] attack,reportedly [912] reportedly,#wef [912] schwab,second [509] heart,#wef [508] schwab,heart Top Word Pairs in Tweet in G1:
[1817] klaus,schwab [1624] #wef,#klausschwab [1258] wallstreetsilv,klaus [896] reportedly,#wef [896] heart,attack [896] schwab,second [896] attack,reportedly [896] second,heart [489] aware,klaus [489] schwab,heart Top Word Pairs in Tweet in G2:
[116] #wef,#greatreset [59] #greatreset,#buildbackbetter [59] markrutte,zeer [59] mp,markrutte [59] die,opa [59] onze,mp [59] bevriend,met [59] met,#klausschwab [59] zeer,goed [59] #klausschwab,die Top Word Pairs in Tweet in G3:
[424] #wef,marionette [424] die,ganze [424] #davos,#kanada [424] verlogenheit,#wef [424] #trudeau,#worldeconomicforum [424] ganze,verlogenheit [424] #worldeconomicforum,#davos [424] marionette,sätzen [424] sätzen,#trudeau [423] wolff_ernst,die Top Word Pairs in Tweet in G4:
[23] klaus,schwab [15] #wef,#nwo [15] #wef,#klausschwab [15] #klausschwab,#wef [10] #greatreset,#wef [8] #vaccineinjuries,#vaccinedeaths [8] #vaccinegenocide,#stoptheshots [8] #vaccinedeaths,#vaccinegenocide [8] #vaccinesideeffects,#vaccineinjuries [8] heart,attack Top Word Pairs in Tweet in G5:
[26] foreign,agent [25] #wef,#klausschwab [23] klaus,schwab [16] guilty,being [16] being,foreign [16] #domesticterrorist,guilty [16] #trudeau,#justinetrudeau [16] prosecute,#trudeau [16] evidence,#treason [16] #justinetrudeau,#domesticterrorist Top Word Pairs in Tweet in G6:
[112] doen,langzaam [112] wereld,laten [112] laten,verdwijnen [112] weg,gevonden [112] langzaam,dan [112] miljard,mensen [112] verdwijnen,ze [112] mensen,wereld [112] ze,hebben [112] hebben,weg Top Word Pairs in Tweet in G7:
[41] abdaniellesmith,rachelnotley [40] rachelnotley,justintrudeau [39] serving,masters [39] another,permanent [39] politician,serving [39] justintrudeau,another [39] permanent,establishment [39] establishment,politician [38] miketmcmullen,abdaniellesmith [38] masters,ott Top Word Pairs in Tweet in G8:
[54] #wef,deleted [54] crammed,mega [54] future,crammed [54] mega,cities [54] wanted,shape [54] shape,future [54] re,ct [54] ct,wanted [54] video,didn [54] deleted,video Top Word Pairs in Tweet in G9:
[129] nothing,more [129] more,pawn [129] concern,america [129] priority,concern [129] biden,nothing [129] pawn,#wef [129] america,first [129] first,priority [129] #wef,america [128] curtishebert,biden Top Word Pairs in Tweet in G10:
[14] klaus,schwab [13] way,#wef [13] #destroythewef,#klausschwab [13] leading,way [13] florida,leading [13] #wef,#destroythewef [12] jceltic20222,florida [11] #wef,#klausschwab [8] change,happening [6] #illuminati,#psychicwar Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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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 G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: