The graph represents a network of 4,668 Twitter users whose recent tweets contained "BurjAlArab OR FSBoraBora OR ThePlazaHotel OR RafflesHotels OR La_Mamounia OR RitzParis OR belmond OR OberoiHotels OR JadeMountain OR PeninsulaHotels", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 50,000 tweets, tweeted between 1/1/2024 12:00:00 AM and 2/12/2024 8:37:31 PM. The network was obtained from Twitter on Tuesday, 13 February 2024 at 07:25 UTC.
The tweets in the network were tweeted over the 2925-day, 14-hour, 13-minute period from Tuesday, 09 February 2016 at 14:08 UTC to Tuesday, 13 February 2024 at 04:22 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4668
Unique Edges : 5693
Edges With Duplicates : 10129
Total Edges : 15822
Number of Edge Types : 9
Retweet : 1641
MentionsInRetweet : 719
MentionsInReplyTo : 2381
Replies to : 6692
Quote : 747
Tweet : 2377
Mentions : 1084
MentionsInQuoteReply : 31
MentionsInQuote : 150
Self-Loops : 2623
Reciprocated Vertex Pair Ratio : 0.0373147043789402
Reciprocated Edge Ratio : 0.0719448094612352
Connected Components : 535
Single-Vertex Connected Components : 337
Maximum Vertices in a Connected Component : 3314
Maximum Edges in a Connected Component : 13907
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.883377
Graph Density : 0.000279451210701255
Modularity : 0.382508
NodeXL Version : 1.0.1.528
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=294464
Data Import : The graph represents a network of 4,668 Twitter users whose recent tweets contained "BurjAlArab OR FSBoraBora OR ThePlazaHotel OR RafflesHotels OR La_Mamounia OR RitzParis OR belmond OR OberoiHotels OR JadeMountain OR PeninsulaHotels", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 50,000 tweets, tweeted between 1/1/2024 12:00:00 AM and 2/12/2024 8:37:31 PM. The network was obtained from Twitter on Tuesday, 13 February 2024 at 07:25 UTC.
The tweets in the network were tweeted over the 2925-day, 14-hour, 13-minute period from Tuesday, 09 February 2016 at 14:08 UTC to Tuesday, 13 February 2024 at 04:22 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : BurjAlArab OR FSBoraBora OR ThePlazaHotel OR RafflesHotels OR La_Mamounia OR RitzParis OR belmond OR OberoiHotels OR JadeMountain OR PeninsulaHotels
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:
[394] belmond_b_2434,youtube [166] four,seasons [165] best,hotels [160] hong,kong [159] 10,best [159] lake,rosewood [159] world's,10 [159] hotels,2023 [159] bangkok,chao [159] 2023,passalacqua Top Word Pairs in Tweet in G1:
[393] belmond_b_2434,youtube [77] #ベルモンド,バンデラス [75] belmond_b_2434,お疲れ様でした [65] ベルモンド,バンデラス [65] ˊ,ˋ [63] にじさんじ,ベルモンド [58] ベルモンド,バンデラスさん [55] バンデラス,youtubeより [46] youtube,お知らせありがとうございます [43] 100万回再生突破,guest Top Word Pairs in Tweet in G2:
[50] ariana,grande [40] belmond_sour,อ [34] ไม,ได [34] อ,ส [33] belmond_sour,ไม [30] ส,ด [29] ไม,ม [28] ค,ะ [26] จร,ง [25] ppcharlyne,belmond_sour Top Word Pairs in Tweet in G3:
[67] s4mmyeth,raffleshotels [63] rbaviello,_ritzparis [46] raffleshotels,gm [30] yesimsalkim,raffleshotels [24] newaviejakarta,raffleshotels [16] remymartinuk,raffleshotels [14] raffleshotels,#london [13] gm,sammy [12] #luxury,#brandambassador [11] rbaviello,remymartinuk Top Word Pairs in Tweet in G4:
[74] belmond,klemme [35] belmond,hotel [33] belmond,british [33] british,pullman [32] aboard,belmond [31] step,whimsical [31] year,round [31] grande,dame [31] world,year [31] experience,allure Top Word Pairs in Tweet in G5:
[18] tajhotels,oberoihotels [13] oberoi,vanyavilas [12] amidst,nature's [12] ranthambore,nestled [12] nature's,embrace [12] luxury,tranquility [12] nestled,amidst [12] vanyavilas,ranthambore [12] sanctuary,luxury [12] embrace,sanctuary Top Word Pairs in Tweet in G6:
[102] castellocoin,burjalarab [93] castellocoin,theplooshies [58] theplooshies,burjalarab [51] theplooshies,castellocoin [46] top,burjalarab [46] burjalarab,helipad [45] event,year [45] year,top [45] day,celebrating [45] celebrating,event Top Word Pairs in Tweet in G7:
[160] hong,kong [159] seasons,bangkok [159] 2023,passalacqua [159] best,hotels [159] kong,four [159] passalacqua,lake [159] bangkok,chao [159] 10,best [159] world's,10 [159] lake,rosewood Top Word Pairs in Tweet in G8:
[11] pyuppyu_sepia,おはようございます [10] sora_ren_0616,おはようございます [9] psynos1976,おはようございます [9] mlk3963,おはようございます [9] lw_og3,おはようございます [9] egutthi_0102,おはようございます [9] tetsu_saber,おはようございます [9] dan15622025,おはようございます [9] soranoaosayo999,おはようございます [8] mon_xu72958,おはようございます Top Word Pairs in Tweet in G9:
[31] londonevcompany,clivesutton [31] clivesutton,peninsulahotels [27] citywestminster,peninsulahotels [27] tfltph,citywestminster [27] peninsulahotels,londontaxi_pr [23] taxi,rank [23] peninsula,hotel [23] stolen,taxi [22] grosvenor,crescent [22] seen,peninsula Top Word Pairs in Tweet in G10:
[10] belmond,hotel [9] royal,scotsman' [9] cremorne,lane [7] copacabana,palace [7] liked,video [7] glad,liked [7] scotsman',passing [7] maroma,spa [7] captured,gbrf [7] passing,cremorne 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: