The graph represents a network of 6,841 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 September 2022 at 01:21 UTC.
The requested start date was Sunday, 18 September 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 2-day, 8-hour, 1-minute period from Wednesday, 14 September 2022 at 23:28 UTC to Saturday, 17 September 2022 at 07:29 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 : 6841
Unique Edges : 4235
Edges With Duplicates : 11206
Total Edges : 15441
Number of Edge Types : 5
Mentions : 1822
Retweet : 4659
MentionsInRetweet : 5915
Tweet : 1683
Replies to : 1362
Self-Loops : 1856
Reciprocated Vertex Pair Ratio : 0.00496524329692155
Reciprocated Edge Ratio : 0.00988142292490119
Connected Components : 962
Single-Vertex Connected Components : 543
Maximum Vertices in a Connected Component : 4912
Maximum Edges in a Connected Component : 12869
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.126104
Graph Density : 0.000173019402279514
Modularity : 0.500956
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,841 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 September 2022 at 01:21 UTC.
The requested start date was Sunday, 18 September 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 2-day, 8-hour, 1-minute period from Wednesday, 14 September 2022 at 23:28 UTC to Saturday, 17 September 2022 at 07:29 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:
[1028] klaus,schwab [976] yuval,noah [709] #wef,berater [709] berater,enger [709] enger,vertrauter [709] vertrauter,klaus [686] noah,harari [440] harari,#wef [427] nutzlosen,menschen [423] schwab,nutzlosen Top Word Pairs in Tweet in G1:
[889] yuval,noah [888] klaus,schwab [663] #wef,berater [663] berater,enger [663] enger,vertrauter [663] vertrauter,klaus [627] noah,harari [401] harari,#wef [401] schwab,nutzlosen [401] nutzlosen,menschen Top Word Pairs in Tweet in G2:
[148] #wef,#d66 [146] #d66,#vvd [146] #vvd,#cda [146] #cda,#groenlinks [145] nou,herkennen [145] herkennen,jullie [145] jullie,jezelf [145] jezelf,dit [145] dit,gaat [145] gaat,duur Top Word Pairs in Tweet in G3:
[35] #nwo,#wef [32] martha's,vineyard [31] vineyard,fbi [31] fbi,trump [31] trump,mar [31] mar,lago [31] lago,maga [31] maga,ashley [31] ashley,hunter [31] hunter,biden Top Word Pairs in Tweet in G4:
[24] #fthewef,#thegreatresist [24] #thegreatresist,#agenda2030 [23] #agenda2030,#climatescam [19] #climatescam,#climatehoax [16] #climatehoax,#noclimatecrisis [14] calvin,overview [14] overview,okay [14] okay,holds [14] holds,back [14] back,massively Top Word Pairs in Tweet in G5:
[24] clemenszsofia,donlayman [24] donlayman,drgabriellelyon [24] drgabriellelyon,kevinnbass [23] kevinnbass,peterattiamd [23] peterattiamd,biolayne [23] biolayne,sbakermd [18] #who,#wef [17] sbakermd,carnivoremd [14] #wef,#agenda2030 [13] elections,matter Top Word Pairs in Tweet in G6:
[77] bradley,stoke [77] stoke,uk [77] uk,tesco [77] tesco,soort [77] soort,ah [77] ah,mensen [77] mensen,staan [77] staan,geduldig [77] geduldig,rij [77] rij,bediend Top Word Pairs in Tweet in G7:
[116] #schweden,#wef [110] #wef,darf [110] darf,vorstellen [110] vorstellen,ulf [110] ulf,#kristersson [110] #kristersson,designierte [110] designierte,neue [110] neue,ministerpräsident [110] ministerpräsident,schwedens [109] libra08101,#schweden Top Word Pairs in Tweet in G8:
[137] #astrazeneca,#wef [137] #wef,#mrna [137] #mrna,#endthemandates [137] #endthemandates,lie [137] lie,eu [137] eu,commission [137] commission,governments [137] governments,around [137] around,world [122] asherpress,#astrazeneca Top Word Pairs in Tweet in G9:
[119] #agenda2030,#wef [118] mensen,die [118] die,lachten [118] lachten,#wappies [118] #wappies,#complotdenkers [118] #complotdenkers,die [118] die,waarschuwden [118] waarschuwden,#thegreatreset [118] #thegreatreset,#agenda2030 [117] cathlouisa1976,mensen Top Word Pairs in Tweet in G10:
[39] seems,cbc [39] cbc,using [39] using,logic [39] logic,turdeau [39] turdeau,supporter [39] supporter,unvaxxed [39] unvaxxed,looks [39] looks,misogynist [38] abolishwokeness,seems [38] misogynist,rac Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: