The graph represents a network of 39 Twitter users whose tweets in the requested range contained "#cruisechat", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 10 May 2022 at 17:21 UTC.
The requested start date was Tuesday, 10 May 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 96-day, 16-hour, 1-minute period from Tuesday, 01 February 2022 at 21:00 UTC to Monday, 09 May 2022 at 13:02 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 : 39
Unique Edges : 18
Edges With Duplicates : 371
Total Edges : 389
Number of Edge Types : 5
Replies to : 1
Mentions : 75
Retweet : 82
MentionsInRetweet : 84
Tweet : 147
Self-Loops : 167
Reciprocated Vertex Pair Ratio : 0.0217391304347826
Reciprocated Edge Ratio : 0.0425531914893617
Connected Components : 7
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 30
Maximum Edges in a Connected Component : 367
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.636066
Graph Density : 0.0317139001349528
Modularity : 0.098517
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 39 Twitter users whose tweets in the requested range contained "#cruisechat", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 10 May 2022 at 17:21 UTC.
The requested start date was Tuesday, 10 May 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 96-day, 16-hour, 1-minute period from Tuesday, 01 February 2022 at 21:00 UTC to Monday, 09 May 2022 at 13:02 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 : #cruisechat
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:
[155] #cruise,#cruising [147] #cruising,#cruisechat [129] #cruisechat,#cruiselife [22] #cruise,#cruisechat [16] cruise,ship [16] haut,gamme [16] gamme,#alaska [16] #alaska,chez [16] chez,seagnature [16] 1649,#luxe Top Word Pairs in Tweet in G1:
[16] haut,gamme [16] gamme,#alaska [16] #alaska,chez [16] chez,seagnature [16] 1649,#luxe [16] #luxe,#voyage [16] #voyage,#canada [14] #croisière,haut [14] seagnature,dès [14] dès,1649 Top Word Pairs in Tweet in G2:
[148] #cruise,#cruising [146] #cruising,#cruisechat [128] #cruisechat,#cruiselife [17] #cruise,#cruisechat [16] cruise,ship [13] cruise,#cruise [13] onboard,#cruise [12] here's,#cruise [10] first,time [10] cruises,#cruise Top Word Pairs in Tweet in G3:
[4] #travel,#cruisechat [3] #cruise,#cruisechat [3] #cruise,cabin [3] cabin,review [3] review,aqua [3] aqua,class [3] class,cabin [3] cabin,1605 [3] 1605,celebrity [3] celebrity,solstice Top Word Pairs in Tweet in G4:
[4] this0499154500,#cruisechat [4] #cruisechat,nodexl [4] nodexl,this0499154500 [3] this0499154500,travelshopgirl [3] travelshopgirl,lesleybellew [3] lesleybellew,howtocruise [2] travelshopgirl,archives [2] #cruise,#cruisechat [2] howtocruise,digigranbiz Top Word Pairs in Tweet in G5:
[6] #cruise,#travel [3] calm,north [3] north,east [3] east,side [3] side,#lapalma [3] #lapalma,very [3] very,much [3] much,open [3] open,tourists [3] tourists,#canaryislands Top Word Pairs in Tweet in G6:
[7] #cww,#tfths [6] #party,#sundayfunday [6] #cruisechat,#news [6] #news,#whatsnew [6] #whatsnew,#cruise [6] #cruise,#hangout [6] #hangout,#cww [6] #tfths,#cruisenews [4] forget,set [4] set,reminder Top Word Pairs in Tweet in G7:
[2] cruise,review [2] review,virgin's [2] virgin's,scarlet [2] scarlet,lady [2] lady,whopper [2] whopper,ship [2] ship,attract [2] attract,different [2] different,sort [2] sort,crowd Top Word Pairs in Tweet in G8:
[2] app,go [2] go,turn [2] turn,mecca [2] mecca,tomorrow [2] tomorrow,#ramadan [2] #ramadan,#davidoqatar2022 [2] #davidoqatar2022,#cruisechat Top Word Pairs in Tweet in G9:
[3] missed,#barcelona [3] #barcelona,#cruise [3] #cruise,#bestplanbcn [3] #bestplanbcn,#cruisechat [3] #cruisechat,#montserrat [3] #montserrat,black [3] black,madonna [2] jenimas,missed Top Replied-To in Entire Graph:
Top Replied-To in G4:
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 G7:
Top Mentioned in G8:
Top Mentioned in G9:
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: