The graph represents a network of 134 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 Wednesday, 20 November 2019 at 16:36 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 77-day, 18-hour, 50-minute period from Sunday, 01 September 2019 at 13:00 UTC to Monday, 18 November 2019 at 07:50 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 : 134
Unique Edges : 149
Edges With Duplicates : 488
Total Edges : 637
Number of Edge Types : 3
Tweet : 323
Mentions : 312
Replies to : 2
Self-Loops : 323
Reciprocated Vertex Pair Ratio : 0.0326797385620915
Reciprocated Edge Ratio : 0.0632911392405063
Connected Components : 27
Single-Vertex Connected Components : 14
Maximum Vertices in a Connected Component : 53
Maximum Edges in a Connected Component : 441
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.413949
Graph Density : 0.00886544720008978
Modularity : 0.243618
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 134 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 Wednesday, 20 November 2019 at 16:36 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 77-day, 18-hour, 50-minute period from Sunday, 01 September 2019 at 13:00 UTC to Monday, 18 November 2019 at 07:50 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[221] #cruisechat,#cruiselife [208] #cruise,#cruising [204] #cruising,#cruisechat [54] #cruise,#cruisechat [30] braemer,breaks [30] breaks,record [30] record,becoming [30] becoming,largest [30] largest,ship [30] ship,cross Top Word Pairs in Tweet in G1:
[30] braemer,breaks [30] breaks,record [30] record,becoming [30] becoming,largest [30] largest,ship [30] ship,cross [30] cross,corinth [30] corinth,canal [30] canal,video [30] video,greekcitytimes Top Word Pairs in Tweet in G2:
[58] #cruise,#cruising [56] #cruising,#cruisechat [53] #cruisechat,#cruiselife [23] #cruise,#cruisechat [16] #cruisechat,#travelnews [10] #cruise,line [9] cruiselinetalk,news [9] #cruisechat,#travelskills [9] cruise,ship [8] helping,#bahamas Top Word Pairs in Tweet in G3:
[7] #cruise,#cruisechat [7] island,caribbean [7] caribbean,steel [7] steel,drum [7] drum,band [7] band,red [7] red,red [7] red,wine [7] wine,#itunes [7] #itunes,#springbreak Top Word Pairs in Tweet in G4:
[9] 5,reasons [8] check,out [7] holiday,#cruisechat [6] private,island [6] reasons,need [5] #cruisechat,#msccruises [5] need,add [5] add,cruise [5] cruise,royal [5] royal,caribbean Top Word Pairs in Tweet in G5:
[4] read,more [3] #traveltuesday,reminiscing [3] reminiscing,last [3] last,time [3] time,#cruisenorwegian [3] #cruisenorwegian,#norwegiangetaway [3] #norwegiangetaway,yummy [3] yummy,#prosecco [2] race,track [2] theyumyumfoodie,#traveltuesday Top Word Pairs in Tweet in G6:
[5] #cruise,#cruisechat [4] here,#cruise [4] #traveltips,#cruisechat [4] cruise,group [4] come,join [3] image,courtesy [3] #cruisechat,#cruisetips [3] join,chat [3] chat,here [3] facebook,cruise Top Word Pairs in Tweet in G7:
[2] pleasure,telegraphcruise [2] telegraphcruise,#cruise [2] #cruise,#cruisechat [2] #cruisechat,#adventure [2] #adventure,#travel [2] #travel,#walks [2] #walks,cliauk Top Word Pairs in Tweet in G8:
[149] #cruise,#cruising [148] #cruising,#cruisechat [147] #cruisechat,#cruiselife [18] cruise,ship [14] cruise,#cruise [10] #cruise,#cruisechat [10] ship,review [9] river,cruise [9] jane,mcdonald [8] #cruise,#firstcruise Top Word Pairs in Tweet in G9:
[18] #ontour,#cruisechat [18] #cruisechat,#cruiselife [13] bestbehaviorduo,#ontour [6] #bestbehavior,#ontour [4] another,wonderful [4] going,busy [4] time,explore [4] ready,join [4] join,pandocruises [3] ships,bridge Top Word Pairs in Tweet in G10:
[5] #cruise,#cruisechat [3] #cruisechat,#travel [2] #spain,#cruise [2] #travel,#cruisechat Top Replied-To in Entire Graph:
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: