The graph represents a network of 49 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, 21 September 2021 at 15:57 UTC.
The requested start date was Tuesday, 21 September 2021 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 81-day, 7-hour, 2-minute period from Thursday, 01 July 2021 at 13:00 UTC to Monday, 20 September 2021 at 20:02 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 : 49
Unique Edges : 17
Edges With Duplicates : 291
Total Edges : 308
Number of Edge Types : 4
Retweet : 53
MentionsInRetweet : 41
Mentions : 22
Tweet : 192
Self-Loops : 208
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 9
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 22
Maximum Edges in a Connected Component : 243
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.241322
Graph Density : 0.0191326530612245
Modularity : 0.14938
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 49 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, 21 September 2021 at 15:57 UTC.
The requested start date was Tuesday, 21 September 2021 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 81-day, 7-hour, 2-minute period from Thursday, 01 July 2021 at 13:00 UTC to Monday, 20 September 2021 at 20:02 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:
[164] #cruise,#cruising [157] #cruising,#cruisechat [155] #cruisechat,#cruiselife [22] #cruise,#cruisechat [17] cruise,#cruise [15] #party,#sundayfunday [14] cruise,ships [13] #cruisechat,#news [13] #news,#whatsnew [13] #whatsnew,#cruise Top Word Pairs in Tweet in G1:
[160] #cruise,#cruising [153] #cruising,#cruisechat [152] #cruisechat,#cruiselife [17] cruise,#cruise [16] #cruise,#cruisechat [11] here's,#cruise [10] cruise,ships [9] first,time [9] cruise,line [8] cruises,#cruise Top Word Pairs in Tweet in G2:
[15] #party,#sundayfunday [13] #cruisechat,#news [13] #news,#whatsnew [13] #whatsnew,#cruise [13] #cruise,#hangout [13] #hangout,#cww [13] #cww,#fpb [13] #fpb,#tfths [13] #tfths,#cruisenews [13] #cruisenews,#party Top Word Pairs in Tweet in G3:
[4] #cruise,#cruisechat [3] #cruisechat,#travel [3] #travel,#cruise [2] #travel,#cruisechat Top Word Pairs in Tweet in G4:
[5] cruise,review [5] review,virgin's [5] virgin's,scarlet [5] scarlet,lady [5] lady,whopper [5] whopper,ship [5] ship,attract [5] attract,different [5] different,sort [5] sort,crowd Top Word Pairs in Tweet in G5:
[9] #bermantravel,#cruisechat [7] 866,934 [7] 934,6292 [6] bermantravel,#paulgauguin [6] #paulgauguin,#cruises [6] #cruises,#bermantravel [6] #cruisechat,begin [6] begin,866 [6] 6292,#luxurycruises [4] #luxurycruises,#lux Top Word Pairs in Tweet in G6:
[4] miss,cruising [4] cruising,feel [4] feel,comfortable [4] comfortable,cruising [4] cruising,again [4] again,#cruisechat [3] ready,set [3] set,sail [3] sail,2022 [3] 2022,#cruisechat Top Word Pairs in Tweet in G7:
[3] set,sail [3] sail,princess [3] princess,seas [3] seas,#asmsg [3] #asmsg,#vacation [3] #vacation,#cruisechat [2] andrewharkless,set Top Word Pairs in Tweet in G8:
[3] cruise,ships [3] ships,back [3] back,catastrophe [3] catastrophe,environment [3] environment,kim [3] kim,heacox [3] heacox,majestic [3] majestic,princess [3] princess,due [3] due,alaska Top Word Pairs in Tweet in G9:
[12] haut,gamme [12] gamme,#alaska [12] #alaska,chez [12] chez,seagnature [12] 1649,#luxe [12] #luxe,#voyage [12] #voyage,#canada [12] #canada,#cruisechat [12] #cruisechat,#vacances [11] #croisière,haut 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 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: