The graph represents a network of 5,823 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, 05 December 2021 at 02:14 UTC.
The requested start date was Sunday, 05 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 7-day, 8-hour, 40-minute period from Saturday, 27 November 2021 at 03:15 UTC to Saturday, 04 December 2021 at 11:56 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 : 5823
Unique Edges : 4840
Edges With Duplicates : 11128
Total Edges : 15968
Number of Edge Types : 5
Tweet : 1499
Mentions : 2358
MentionsInRetweet : 6198
Replies to : 1657
Retweet : 4256
Self-Loops : 1651
Reciprocated Vertex Pair Ratio : 0.00623519142037661
Reciprocated Edge Ratio : 0.0123931094311563
Connected Components : 542
Single-Vertex Connected Components : 291
Maximum Vertices in a Connected Component : 4649
Maximum Edges in a Connected Component : 14298
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.569298
Graph Density : 0.000238013025144075
Modularity : 0.453186
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,823 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, 05 December 2021 at 02:14 UTC.
The requested start date was Sunday, 05 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 7-day, 8-hour, 40-minute period from Saturday, 27 November 2021 at 03:15 UTC to Saturday, 04 December 2021 at 11:56 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:
[646] #selfdriving,#selfdrivingcars [640] #selfdrivingcars,#autonomousvehicles [628] #autonomousvehicles,#autonomouscars [594] #autonomouscars,#autonomousvehicle [517] #autonomousvehicle,#transport [383] #csr,#corpgov [378] #wef,#datagovernance [375] #aml,#crypto [375] #datagovernance,#futureofwork [370] #finserv,#wef Top Word Pairs in Tweet in G1:
[79] #klausschwab,#wef [51] #wef,kabinet [45] nieuwe,variant [40] forum,#wef [39] bild,aanstaande [39] aanstaande,bondskanselier [39] bondskanselier,olaf [39] olaf,scholz [39] scholz,#wef [39] #wef,wil Top Word Pairs in Tweet in G2:
[646] #selfdriving,#selfdrivingcars [640] #selfdrivingcars,#autonomousvehicles [628] #autonomousvehicles,#autonomouscars [594] #autonomouscars,#autonomousvehicle [517] #autonomousvehicle,#transport [353] #transport,#vehicles [229] #vehicles,#cars [209] #cars,#ev [208] #ev,#electricvehicles [208] #electricvehicles,#electriccars Top Word Pairs in Tweet in G3:
[74] geschäft,brummt [73] brummt,weiter [67] #agenda2030,#id2020 [66] #pharmafia,#impffaschismus [66] #impffaschismus,#impfversagen [66] #impfversagen,#nebenwirkungen [66] #greatreset,#agenda2030 [66] #id2020,#onehealth [59] #wef,#who [58] weiter,#wef Top Word Pairs in Tweet in G4:
[17] economic,forum [16] world,economic [10] #greatreset,#wef [9] #wef,#klausschwab [9] #agenda2030,#wef [9] #klausschwab,#wef [8] #who,#wef [8] #wef,#nwo [8] #wef,#who [8] forum,#wef Top Word Pairs in Tweet in G5:
[172] half,jaar [171] planning,'t [171] 't,#wef [171] #wef,erop [171] erop,naslaat [171] naslaat,dan [171] dan,lijkt [171] lijkt,'t [171] 't,erop [171] erop,dat Top Word Pairs in Tweet in G6:
[168] wat,begon [168] begon,gefabriceerde [168] gefabriceerde,angstcampagne [168] angstcampagne,knullige [168] knullige,poging [168] poging,zgn [168] zgn,pandemie [168] pandemie,bestrijden [168] bestrijden,paar [167] ossewed,wat Top Word Pairs in Tweet in G7:
[383] #csr,#corpgov [378] #wef,#datagovernance [375] #aml,#crypto [375] #datagovernance,#futureofwork [370] #finserv,#wef [367] #corpgov,#aml [363] #crypto,#finserv [358] #futureofwork,#insurtech [354] #insurtech,#fintech [351] #fintech,#regtech Top Word Pairs in Tweet in G8:
[51] widtvoet,ongemakkelijke [51] ongemakkelijke,waarheid [51] waarheid,maar [51] maar,feit [51] feit,dat [51] dat,clubje [51] clubje,#wef [51] #wef,politici [51] politici,zijn [51] zijn,die Top Word Pairs in Tweet in G9:
[38] young,goebbels [37] goebbels,leaders [23] leaders,#wef [21] public,health [21] health,announcement [21] announcement,#influenza [21] #influenza,year [21] year,necessary [21] necessary,cancel [21] cancel,#flu Top Word Pairs in Tweet in G10:
[47] ik,voel [47] voel,foto [47] foto,hoe [47] hoe,mensen [47] mensen,zijn [47] zijn,wees [47] wees,heel [47] heel,voorzichtig [47] voorzichtig,met [47] met,deze 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: