The graph represents a network of 6,826 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, 14 August 2022 at 01:27 UTC.
The requested start date was Sunday, 14 August 2022 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 3-day, 21-hour, 41-minute period from Wednesday, 10 August 2022 at 02:19 UTC to Sunday, 14 August 2022 at 00:00 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 : 6826
Unique Edges : 4619
Edges With Duplicates : 12302
Total Edges : 16921
Number of Edge Types : 5
Tweet : 1414
Replies to : 1081
Retweet : 5148
MentionsInRetweet : 7037
Mentions : 2241
Self-Loops : 1552
Reciprocated Vertex Pair Ratio : 0.00497402453852106
Reciprocated Edge Ratio : 0.00989881214254289
Connected Components : 734
Single-Vertex Connected Components : 345
Maximum Vertices in a Connected Component : 5150
Maximum Edges in a Connected Component : 14240
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.911492
Graph Density : 0.000195159855282914
Modularity : 0.486776
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 6,826 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, 14 August 2022 at 01:27 UTC.
The requested start date was Sunday, 14 August 2022 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 3-day, 21-hour, 41-minute period from Wednesday, 10 August 2022 at 02:19 UTC to Sunday, 14 August 2022 at 00:00 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:
[427] #klausschwab,#wef [351] sort,uk's [351] uk's,rapidly [351] rapidly,crumbling [351] crumbling,economy [351] economy,#wef [351] #wef,mps [351] mps,goddersbloom [351] goddersbloom,tells [350] liarsinc2,sort Top Word Pairs in Tweet in G1:
[36] dan,ook [33] die,#wef [31] elite,heeft [31] heeft,nu [31] nu,bijna [31] bijna,alle [31] alle,landbouw [31] landbouw,gronden [31] gronden,hun [31] hun,bezit Top Word Pairs in Tweet in G2:
[336] sort,uk's [336] uk's,rapidly [336] rapidly,crumbling [336] crumbling,economy [336] economy,#wef [336] #wef,mps [336] mps,goddersbloom [336] goddersbloom,tells [335] liarsinc2,sort [34] #wef,#thegreatreset Top Word Pairs in Tweet in G3:
[225] #rutte,#kaag [222] trofee,hoogste [222] hoogste,#gasprijs [222] #gasprijs,europa [222] europa,gaat [222] gaat,naar [222] naar,nederland [222] nederland,gefeliciteerd [222] gefeliciteerd,#rutte [222] #kaag,mooi Top Word Pairs in Tweet in G4:
[158] ben,vandaag [158] vandaag,jarig [158] jarig,maar [158] maar,mag [158] mag,mijn [158] mijn,familie [158] familie,niet [158] niet,zien [158] zien,opgelegd [158] opgelegd,door Top Word Pairs in Tweet in G5:
[336] #klausschwab,#wef [289] wallstreetsilv,#klausschwab [46] eat,ze [46] ze,bug [46] bug,#klausschwab [45] wallstreetsilv,eat [15] world,economic [13] economic,forum [12] forum,#wef [12] #wef,#klausschwab Top Word Pairs in Tweet in G6:
[18] #wef,#greatreset [13] world,economic [13] economic,forum [13] #wef,#nwo [9] great,reset [8] #wef,#who [7] klaus,schwab [7] #wef,#wefpuppets [7] #schwab,#wef [7] #wef,#agenda2030 Top Word Pairs in Tweet in G7:
[146] #wef,#shaub [146] #shaub,#10agosto [146] #10agosto,#governodeipeggiori [145] brigante_384,#wef [135] colonna,ventina [135] ventina,auto [135] auto,elettriche [135] elettriche,tesla [135] tesla,tutte [135] tutte,attesa Top Word Pairs in Tweet in G8:
[125] support,world's [125] world's,farmers [123] #climatescam,#climatecult [122] farmers,#climatescam [121] #climatecult,#axethetax [121] #axethetax,#wef [120] #wef,#billgatesbioterrorist [117] #billgatesbioterrorist,#nofarmersnofood [59] slartib49836743,support [53] #nofarmersnofood,#nofarm Top Word Pairs in Tweet in G9:
[19] wapflondon,iambrookjackson [19] iambrookjackson,criticalsway [19] criticalsway,bell00david [19] bell00david,noorbinladin [19] noorbinladin,sophielouisecc [19] sophielouisecc,mariaaazeee [19] mariaaazeee,zelenkozev [10] et_sharing,wapflondon [10] zelenkozev,tulsigabbar [9] zelenkozev,tulsigabbard Top Word Pairs in Tweet in G10:
[28] globalist,organisations [28] organisations,#who [28] #who,#wef [28] #wef,blame [28] blame,decline [28] decline,democracies [28] democracies,increase [27] andersonafdmdep,globalist [27] increase,livin [8] meer,dan Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: