The graph represents a network of 5,067 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, 03 October 2021 at 01:11 UTC.
The requested start date was Sunday, 03 October 2021 at 00:01 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 6-day, 2-hour, 28-minute period from Sunday, 26 September 2021 at 21:25 UTC to Saturday, 02 October 2021 at 23:53 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 : 5067
Unique Edges : 3979
Edges With Duplicates : 12493
Total Edges : 16472
Number of Edge Types : 5
Retweet : 5300
MentionsInRetweet : 7319
Replies to : 1018
Tweet : 1089
Mentions : 1746
Self-Loops : 1199
Reciprocated Vertex Pair Ratio : 0.00891836268008232
Reciprocated Edge Ratio : 0.0176790571169538
Connected Components : 374
Single-Vertex Connected Components : 192
Maximum Vertices in a Connected Component : 4099
Maximum Edges in a Connected Component : 14846
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.202852
Graph Density : 0.000343755305436951
Modularity : 0.393197
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,067 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, 03 October 2021 at 01:11 UTC.
The requested start date was Sunday, 03 October 2021 at 00:01 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 6-day, 2-hour, 28-minute period from Sunday, 26 September 2021 at 21:25 UTC to Saturday, 02 October 2021 at 23:53 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:
[1271] nu,ook [1266] ook,gedonder [1266] gedonder,binnen [1266] binnen,katholieke [1266] katholieke,gemeenschap [1264] carlo,maria [1264] maria,vigano [1263] spreekt,zich [1262] zich,zeer [1259] gemeenschap,aartsbisschop Top Word Pairs in Tweet in G1:
[849] nu,ook [849] ook,gedonder [849] gedonder,binnen [849] binnen,katholieke [849] katholieke,gemeenschap [849] gemeenschap,aartsbisschop [849] aartsbisschop,carlo [849] carlo,maria [849] maria,vigano [849] vigano,spreekt Top Word Pairs in Tweet in G2:
[122] nu,ook [120] ook,gedonder [120] gedonder,binnen [120] binnen,katholieke [120] katholieke,gemeenschap [120] gemeenschap,aartsbisschop [120] aartsbisschop,carlo [120] carlo,maria [120] maria,vigano [120] vigano,spreekt Top Word Pairs in Tweet in G3:
[199] world,economic [199] economic,forum [168] mark,rutte [168] forum,tasje [167] breek,mark [167] rutte,zei [167] zei,zojuist [167] zojuist,tegen [167] tegen,mij [167] mij,dat Top Word Pairs in Tweet in G4:
[90] nu,ook [90] ook,gedonder [90] gedonder,binnen [90] binnen,katholieke [90] katholieke,gemeenschap [83] gemeenschap,aartsbisschop [83] aartsbisschop,carlo [83] carlo,maria [83] maria,vigano [83] vigano,spreekt Top Word Pairs in Tweet in G5:
[170] alle,leden [169] leden,#wef [168] #wef,kamer [168] kamer,uit [167] nederland,willen [167] willen,redden [167] redden,zouden [167] zouden,alle [167] uit,moeten [167] moeten,trappen Top Word Pairs in Tweet in G6:
[18] world,economic [18] economic,forum [13] read,world [13] forum,latest [13] latest,blog [13] blog,deloitte [13] deloitte,team [13] team,members [13] members,david [13] david,rabinowitz Top Word Pairs in Tweet in G7:
[106] gt,gt [106] lt,lt [55] #covid_19,#vaccinedeaths [53] #vaccinedeaths,#eugenics [50] #eugenics,#greatreset [49] #greatreset,#wef [47] lt,#covid_19 [46] #wef,#nwo [37] grokyn1,gt [35] #nwo,#vaccinated Top Word Pairs in Tweet in G8:
[13] liekcornelissen,thierrybaudet [13] thierrybaudet,toch [13] toch,#wef [13] #wef,linkje [13] linkje,vrouw [13] marcvegt,nu [13] nu,ook [13] ook,gedonder [13] gedonder,binnen [13] binnen,katholieke Top Word Pairs in Tweet in G9:
[117] australia,soldiers [117] soldiers,posing [117] posing,cops [117] cops,melbourne [117] melbourne,called [117] called,#strongcitynetwork [117] #strongcitynetwork,police [117] police,backed [117] backed,#soros [116] fynnderella1,australia Top Word Pairs in Tweet in G10:
[15] burgemeester,die [15] die,#wakuwaku [15] #wakuwaku,liet [15] liet,sluiten [15] sluiten,lid [15] lid,#wef [15] #wef,tijd [15] tijd,tussen [15] tussen,complotdenken [15] complotdenken,feiten 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 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: