The graph represents a network of 1,321 Twitter users whose recent tweets contained "tourism marketing", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 08 June 2022 at 18:26 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 18-minute period from Monday, 30 May 2022 at 15:20 UTC to Wednesday, 08 June 2022 at 11:39 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 Fruchterman-Reingold layout algorithm.
Vertices : 1335
Unique Edges : 1472
Edges With Duplicates : 1147
Total Edges : 2619
Self-Loops : 706
Reciprocated Vertex Pair Ratio : 0.0522058823529412
Reciprocated Edge Ratio : 0.0992313067784766
Connected Components : 341
Single-Vertex Connected Components : 132
Maximum Vertices in a Connected Component : 247
Maximum Edges in a Connected Component : 318
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.20565
Graph Density : 0.000803530818860233
Modularity : 0.554765
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,321 Twitter users whose recent tweets contained "tourism marketing", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 08 June 2022 at 18:26 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 18-minute period from Monday, 30 May 2022 at 15:20 UTC to Wednesday, 08 June 2022 at 11:39 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 Fruchterman-Reingold layout algorithm.
Graph Source : TwitterSearch
Graph Term : tourism marketing
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[360] tourism,marketing [337] hallyu,tourism [299] cultural,diplomacy [299] diplomacy,hallyu [296] marketing,white [296] white,house [295] last,year [294] #btsv,k [294] k,pop [197] amp,marketing Top Word Pairs in Tweet in G1:
[335] hallyu,tourism [297] cultural,diplomacy [297] diplomacy,hallyu [294] #btsv,k [294] k,pop [294] marketing,white [294] white,house [294] last,year [165] tourism,amp [165] amp,marketing Top Word Pairs in Tweet in G2:
[130] 2006,2011 [130] crore,temple [65] doc,records [65] records,2006 [65] 2011,dmk [65] dmk,spent [65] spent,over [65] over,420 [65] 420,crore [65] temple,renovations Top Word Pairs in Tweet in G3:
[52] two,marketing [52] marketing,slogans [52] slogans,wrote [52] wrote,gobi [52] gobi,desert [52] desert,board [52] board,tourism [52] tourism,returning [52] returning,calls [52] calls,1 Top Word Pairs in Tweet in G4:
[30] south,african [30] african,tourism [19] vacancy,brand [19] brand,public [19] public,relations [19] relations,manager [19] manager,south [19] tourism,exciting [19] exciting,opportunity [19] opportunity,brand Top Word Pairs in Tweet in G5:
[24] america,crazy [24] crazy,cause [24] cause,tourism [24] tourism,purely [24] purely,marketing [24] marketing,example [24] example,route [24] route,66 [24] 66,motorway [24] motorway,fam Top Word Pairs in Tweet in G6:
[24] looking,foreigners [23] estonian,government [23] government,looking [23] foreigners,media [23] media,production [23] production,sales [23] sales,finance [23] finance,tourism [23] tourism,marketing [23] marketing,human Top Word Pairs in Tweet in G7:
[2] lucrative,tourism [2] tourism,marketing [2] marketing,contract [2] hawaii,visitors [2] visitors,convention [2] convention,bureau Top Word Pairs in Tweet in G8:
[16] gm,vancouver [16] vancouver,island [16] island,ll [16] ll,here [16] here,capturing [16] capturing,building [16] building,tourism [16] tourism,boards [16] boards,library [16] library,promotional Top Word Pairs in Tweet in G9:
[8] besides,gcc [8] gcc,island [8] island,nation [8] nation,#bahrain [8] #bahrain,identifies [8] identifies,19 [8] 19,key [8] key,markets [8] markets,including [8] including,india Top Word Pairs in Tweet in G10:
[8] wekesa_amos,germaxasgarage [8] changing,engine [7] engine,oil [7] change,engine [5] don,t [4] change,w166 [4] w166,engine [4] tourism,marketing [3] nelsonssenyange,wekesa_amos [3] son,change Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G4:
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: