The graph represents a network of 5,649 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, 12 December 2021 at 02:17 UTC.
The requested start date was Sunday, 12 December 2021 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 9-day, 11-hour, 56-minute period from Thursday, 02 December 2021 at 12:42 UTC to Sunday, 12 December 2021 at 00:38 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 : 5649
Unique Edges : 4220
Edges With Duplicates : 12232
Total Edges : 16452
Number of Edge Types : 5
Replies to : 1325
MentionsInRetweet : 6480
Mentions : 2658
Retweet : 4541
Tweet : 1448
Self-Loops : 1612
Reciprocated Vertex Pair Ratio : 0.00706289978678038
Reciprocated Edge Ratio : 0.0140267301839354
Connected Components : 557
Single-Vertex Connected Components : 276
Maximum Vertices in a Connected Component : 4356
Maximum Edges in a Connected Component : 14664
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.019105
Graph Density : 0.000236855328502074
Modularity : 0.41179
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,649 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, 12 December 2021 at 02:17 UTC.
The requested start date was Sunday, 12 December 2021 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 9-day, 11-hour, 56-minute period from Thursday, 02 December 2021 at 12:42 UTC to Sunday, 12 December 2021 at 00:38 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:
[572] #csr,#corpgov [565] #aml,#crypto [562] #wef,#datagovernance [559] #datagovernance,#futureofwork [554] #finserv,#wef [551] #corpgov,#aml [547] #crypto,#finserv [530] #futureofwork,#insurtech [519] #insurtech,#fintech [492] martinhoyes,#csr Top Word Pairs in Tweet in G1:
[572] #csr,#corpgov [565] #aml,#crypto [562] #wef,#datagovernance [559] #datagovernance,#futureofwork [554] #finserv,#wef [551] #corpgov,#aml [547] #crypto,#finserv [530] #futureofwork,#insurtech [519] #insurtech,#fintech [492] martinhoyes,#csr Top Word Pairs in Tweet in G2:
[61] #nietvergeten,#freehuigplug [60] #wef,#nietvergeten [60] #freehuigplug,#whistleblower [60] #whistleblower,opvallend [60] opvallend,lijst [60] lijst,met [60] met,deelnemers [60] deelnemers,weg [60] weg,bij [60] bij,rtl Top Word Pairs in Tweet in G3:
[303] #selfdriving,#selfdrivingcars [298] #selfdrivingcars,#autonomousvehicles [293] #autonomousvehicles,#autonomouscars [273] #autonomouscars,#autonomousvehicle [228] #autonomousvehicle,#transport [168] #transport,#vehicles [108] #vehicles,#cars [100] #cars,#ev [99] #ev,#electricvehicles [99] #electricvehicles,#electriccars Top Word Pairs in Tweet in G4:
[172] ken,dat [172] dat,bent [172] bent,gesprek [172] gesprek,met [172] met,kennissen [172] kennissen,die [172] die,jou [172] jou,nogal [172] nogal,hooghartig [172] hooghartig,lezen Top Word Pairs in Tweet in G5:
[16] economic,forum [14] world,economic [13] #nwo,#wef [9] #wef,#klausschwab [8] #wef,#greatreset [8] forum,#wef [8] #wef,#thegreatreset [7] #wef,#nwo [7] #agenda2030,#wef [6] #buildbackbetter,#wef Top Word Pairs in Tweet in G6:
[200] wat,begon [200] begon,gefabriceerde [200] gefabriceerde,angstcampagne [200] angstcampagne,knullige [200] knullige,poging [200] poging,zgn [200] bestrijden,paar [199] ossewed,wat [199] paar,week [162] zgn,pandemie Top Word Pairs in Tweet in G7:
[33] aartsbisschop,carlo [33] carlo,maria [33] maria,vigano [33] vigano,spreekt [33] spreekt,zich [33] worden,#wef [32] oma,wil [32] wil,minder [32] minder,minder [32] minder,kinderen Top Word Pairs in Tweet in G8:
[14] another,puppet [13] #wef,#greatreset [13] puppet,#wef [11] above,below [11] below,barrier [11] barrier,doing [11] doing,pretty [11] pretty,much [11] much,face [11] face,coverings Top Word Pairs in Tweet in G9:
[142] affari,farmaceutici [142] farmaceutici,federica [142] federica,#draghi [142] #draghi,dove [142] dove,investirã [142] investirã,figlia [142] figlia,manager [142] manager,#supermario [142] #supermario,' [142] ',domandina Top Word Pairs in Tweet in G10:
[67] yuval,harari [67] gli,esseri [67] esseri,umani [67] umani,sono [67] sono,hackerabili [67] hackerabili,oggi [67] oggi,direttamente [67] direttamente,dal [67] dal,#wef [66] harari,humans Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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: