The graph represents a network of 10 425 Twitter users whose recent tweets contained "#tourism", 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 Thursday, 10 December 2020 at 20:43 UTC.
The tweets in the network were tweeted over the 9-day, 4-hour, 26-minute period from Tuesday, 01 December 2020 at 14:33 UTC to Thursday, 10 December 2020 at 18:59 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 : 10425
Unique Edges : 13322
Edges With Duplicates : 9889
Total Edges : 23211
Number of Edge Types : 5
Tweet : 6890
Retweet : 6731
MentionsInRetweet : 5190
Mentions : 4102
Replies to : 298
Self-Loops : 7125
Reciprocated Vertex Pair Ratio : 0,0265021886191803
Reciprocated Edge Ratio : 0,0516359125445806
Connected Components : 2611
Single-Vertex Connected Components : 1556
Maximum Vertices in a Connected Component : 4662
Maximum Edges in a Connected Component : 14024
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7,127356
Graph Density : 0,000118689392308103
Modularity : 0,575322
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 10 425 Twitter users whose recent tweets contained "#tourism", 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 Thursday, 10 December 2020 at 20:43 UTC.
The tweets in the network were tweeted over the 9-day, 4-hour, 26-minute period from Tuesday, 01 December 2020 at 14:33 UTC to Thursday, 10 December 2020 at 18:59 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 : TwitterSearch
Graph Term : #tourism
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:
[2404] #travel,#tourism [762] #tourism,#travel [466] #loscabos,#cabosanlucas [454] #cabosanlucas,#cancun [400] #rivieramaya,#yucatan [395] #tourism,#hospitality [394] covid,19 [389] #yucatan,#mazatlan [351] #bajacaliforniasur,#quintanaroo [346] #mazatlan,#campeche Top Word Pairs in Tweet in G1:
[261] #travel,#tourism [110] #tourism,#travel [58] #tourism,#tourist [35] #travel,#traveling [34] #travelling,#tourism [33] #nature,#tourism [32] #tourism,#italy [30] #hospitality,#tourism [30] covid,19 [29] #turismo,#tourism Top Word Pairs in Tweet in G2:
[193] #travel,#tourism [152] #travel,#traveling [114] south,africa [111] #ttot,#travel [93] #traveling,#tourism [67] #tourism,#southafrica [66] #tourism,sector [60] #tourism,#travel [55] #familytravel,#businesstravel [53] #businesstravel,#businesstrip Top Word Pairs in Tweet in G3:
[356] #travel,#tourism [150] #pakistan,#tourism [107] #tourism,#travel [97] #beautifulpakistan,#pakistan [96] السلام,علیکم [96] علیکم,پاکستان [69] read,#indiafound [69] #indiafound,#indialostandfound [69] #indialostandfound,#amitpasricha [69] #amitpasricha,#panoramist Top Word Pairs in Tweet in G4:
[322] #travel,#tourism [218] #frizemedia,charlesfrize [196] #onlineadvertising,#digitalmarketing [153] #tourism,#frizemedia [150] #tourism,#travel [133] #growthhacking,#onlineadvertising [114] #marketing,#onlineadvertisingghana [107] #seo,#onlinemarketingtopeurope [107] #digitalmarketing,#digitalmarketingservices [103] #onlineadvertising,#seo Top Word Pairs in Tweet in G5:
[53] tourists,state [53] registration,meghtourism [53] meghtourism,app [53] app,mandatory [52] reopening,#tourism [52] #tourism,#meghalaya [52] #meghalaya,tourists [52] state,21st [37] 21st,dec [37] dec,2020 Top Word Pairs in Tweet in G6:
[137] #travel,#tourism [94] like,ping [94] ping,pong [94] pong,welcome [94] welcome,zazzle [94] zazzle,black [94] black,lake [94] lake,crno [94] crno,jezero [94] jezero,lake Top Word Pairs in Tweet in G7:
[183] startling,pictures [183] pictures,show [183] show,impact [183] impact,covid [183] covid,19 [183] 19,cruise [183] cruise,industry [183] industry,#covid19 [183] #covid19,#tourism [25] #travel,#tourism Top Word Pairs in Tweet in G8:
[55] brt,station [55] station,hasktnagri [55] hasktnagri,#tourism [55] #tourism,branding [55] branding,inc [55] inc,cutouts [55] cutouts,complete [55] complete,line [55] line,heritage [55] heritage,archaeological Top Word Pairs in Tweet in G9:
[182] #tourism,#hospitality [182] #farmliving,#nature [182] #traveltours,#experienceholiday [182] #almatfarmslive,#visitalmatfarms [181] #hospitality,#recreation [181] #recreation,#weekend [181] #nature,#travel [181] #travel,#traveltours [181] #picnicspot,#farmlife [181] #farmlife,#agritourism Top Word Pairs in Tweet in G10:
[130] #internationalcivilaviationday,air [130] air,transport [130] transport,important [130] important,safely [130] safely,restore [130] restore,freedom [130] freedom,mobility [130] mobility,people [130] people,vital [130] vital,supplies Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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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: