The graph represents a network of 7,407 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, 18 December 2022 at 02:22 UTC.
The requested start date was Sunday, 18 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 3-day, 2-hour, 2-minute period from Wednesday, 14 December 2022 at 22:58 UTC to Sunday, 18 December 2022 at 01:00 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 : 7407
Unique Edges : 4273
Edges With Duplicates : 11486
Total Edges : 15759
Number of Edge Types : 5
Retweet : 5078
MentionsInRetweet : 6560
Replies to : 1156
Mentions : 1472
Tweet : 1493
Self-Loops : 1600
Reciprocated Vertex Pair Ratio : 0.00366127317822133
Reciprocated Edge Ratio : 0.00729583431395622
Connected Components : 909
Single-Vertex Connected Components : 472
Maximum Vertices in a Connected Component : 5420
Maximum Edges in a Connected Component : 12884
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.886796
Graph Density : 0.000154914002311715
Modularity : 0.530427
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,407 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, 18 December 2022 at 02:22 UTC.
The requested start date was Sunday, 18 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 3-day, 2-hour, 2-minute period from Wednesday, 14 December 2022 at 22:58 UTC to Sunday, 18 December 2022 at 01:00 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:
[913] #wef,#klausschwab [688] world,economic [684] economic,forum [440] forum,#wef [412] great,reset [396] population,50 [390] dream,reduce [387] 50,2023 [386] against,humanity [384] crimes,against Top Word Pairs in Tweet in G1:
[707] #wef,#klausschwab [352] great,reset [351] signs,great [351] reset,watch [351] wears,#wef [351] watch,wears [350] wallstreetsilv,signs [202] true,#wef [202] fact,check [202] check,true Top Word Pairs in Tweet in G2:
[180] hebben,ze [177] #maxima,wel [177] ondersteunen,actief [177] wel,door [177] duitsland,hebben [177] door,ze [177] ze,ondersteunen [177] plannen,#klausschwab [177] actief,plannen [177] ze,minpres Top Word Pairs in Tweet in G3:
[37] klaus,schwab [34] hunter,biden [29] #wef,#klausschwab [26] #nwo,#wef [25] #newworldorder,#nwo [24] elon,musk [23] musk,twitter [22] twitter,fbi [22] hillary,clinton [22] fauci,#elonmusk Top Word Pairs in Tweet in G4:
[380] crimes,against [380] ready,full [380] deciet,crimes [380] full,disclosure [380] governments,worldwide [380] against,humanity [380] disclosure,governments [380] worldwide,corruption [380] corruption,deciet [379] voodoonemesi,ready Top Word Pairs in Tweet in G5:
[341] economic,forum [341] world,economic [336] reduce,worl [336] dream,reduce [336] population,50 [336] forum,#wef [336] worl,population [336] #wef,states [336] #pfizer,world [336] 50,2023 Top Word Pairs in Tweet in G6:
[106] #pfizer,#wef [106] need,extend [106] executive,leadership [106] extend,executive [106] #jansen,hospital [106] leadership,#pfizer [106] #moderna,#jansen [106] #wef,#moderna [106] hell,yes [106] yes,need Top Word Pairs in Tweet in G7:
[131] agenda,eliminating [131] ownerships,vehicles [131] eliminating,private [131] kaushal01833606,#wef [131] vehicles,private [131] private,companies [131] #wef,pushing [131] private,ownerships [131] pushing,agenda [130] companies,go Top Word Pairs in Tweet in G8:
[17] #wef,#greatreset [14] digital,currency [13] freedoms,total [13] mean,loss [13] cbdc,mean [13] control,#cbdc [13] #cbdc,#wef [13] currency,cbdc [13] loss,freedoms [13] state,control Top Word Pairs in Tweet in G9:
[152] #worldeconomicforum,#wef [151] #wef,#davos [148] deutlicher,#klausschwab [148] klarer,deutlicher [148] ausdrücken,#worldeconomicforum [148] #klausschwab,man [148] man,ausdrücken [147] wolff_ernst,klarer [14] mäuse,weißen [14] pflanzen,tiere Top Word Pairs in Tweet in G10:
[11] fired,#chrystiafreeland [11] clear,violations [11] haven't,fired [11] justintrudeau,know [11] violations,breaking [11] know,haven't [11] #chrystiafreeland,clear [10] breaking,ca [10] danfour09653856,justintrudeau [9] pay,back Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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: