The graph represents a network of 176 Twitter users whose recent tweets contained "Overtourism", 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 Tuesday, 16 March 2021 at 01:32 UTC.
The tweets in the network were tweeted over the 7-day, 15-hour, 45-minute period from Monday, 08 March 2021 at 08:19 UTC to Tuesday, 16 March 2021 at 00:04 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 : 191
Unique Edges : 259
Edges With Duplicates : 174
Total Edges : 433
Number of Edge Types : 5
Mentions : 202
Retweet : 54
Tweet : 89
MentionsInRetweet : 37
Replies to : 51
Self-Loops : 89
Reciprocated Vertex Pair Ratio : 0.0701754385964912
Reciprocated Edge Ratio : 0.131147540983607
Connected Components : 63
Single-Vertex Connected Components : 35
Maximum Vertices in a Connected Component : 50
Maximum Edges in a Connected Component : 226
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.345168
Graph Density : 0.00672361532102508
Modularity : 0.511231
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 176 Twitter users whose recent tweets contained "Overtourism", 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 Tuesday, 16 March 2021 at 01:32 UTC.
The tweets in the network were tweeted over the 7-day, 15-hour, 45-minute period from Monday, 08 March 2021 at 08:19 UTC to Tuesday, 16 March 2021 at 00:04 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 : Overtourism
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:
[23] thecockburn,brianjaffa [21] drsimonwoodward,thecockburn [17] mangowhizz,gavinkbarrie [14] combat,overtourism [13] gavinkbarrie,drsimonwoodward [12] italy,way [12] way,combat [12] thespurtle,mangowhizz [11] grenzenlose,sehnsucht [11] joycemcm,thespurtle Top Word Pairs in Tweet in G1:
[6] reisen,nachhaltigkeit [3] nachhaltigkeit,grenzenlose [3] grenzenlose,sehnsucht [3] nachhaltigkeit,urlaub [3] urlaub,anderen [3] solve,overtourism [3] fenomena,overtourism [3] destinasi,wisata [2] italy,way [2] way,combat Top Word Pairs in Tweet in G2:
[7] heritage,site [6] discussion,eventually [6] eventually,acknowledge [6] acknowledge,#edinburgh's [6] #edinburgh's,world [6] world,heritage [6] site,residential [6] residential,massive [6] massive,intensification [6] intensification,festivals Top Word Pairs in Tweet in G3:
[2] thescotsman,edfests [2] edfests,edinburgh [2] edinburgh,edinburgh_cc [2] edinburgh_cc,culturescotgov [2] exclusive,edfringe [2] edfringe,chief [2] chief,executive [2] executive,shona [2] shona,mccarthy [2] mccarthy,current Top Word Pairs in Tweet in G4:
[10] italy,way [10] way,combat [10] combat,overtourism [10] overtourism,cnntravel [4] cnntravel,juliathelast [3] overtourism,frontier [2] venice,overtourism [2] overtourism,cruise [2] cruise,ships [2] ships,daytrippers Top Word Pairs in Tweet in G5:
[22] thecockburn,brianjaffa [20] drsimonwoodward,thecockburn [16] mangowhizz,gavinkbarrie [12] gavinkbarrie,drsimonwoodward [11] thespurtle,mangowhizz [10] joycemcm,thespurtle [6] gavinkbarrie,thespurtle [6] thespurtle,drsimonwoodward [4] peterbrownbarra,joycemcm [4] brianjaffa,tattoo Top Word Pairs in Tweet in G6:
[8] überschriften,grenzenlose [8] grenzenlose,sehnsucht [8] sehnsucht,corona [8] corona,reisen [8] reisen,lese [8] lese,kriege [8] kriege,wieder [8] wieder,krise [8] krise,#venedig [8] #venedig,befürchten Top Word Pairs in Tweet in G8:
[2] overtourism,rethinking [2] rethinking,tourism [2] tourism,kesangkinzom [2] kesangkinzom,manshiasher [2] manshiasher,thewire_in [2] thewire_in,theprintindia [2] theprintindia,jairamthakurbjp [2] jairamthakurbjp,govind4betterhp [2] govind4betterhp,ani Top Word Pairs in Tweet in G9:
[6] msc,grandiosa [2] skift,research [2] research,day [2] day,uk [2] uk,pm [2] pm,provided [2] provided,opening [2] opening,timeline [2] timeline,bookings [2] bookings,popular Top Word Pairs in Tweet in G10:
[6] emmavigeland,benmank77 [4] jgdefibaugh,emmavigeland [3] cruise,ships [2] benmank77,bootstraps [2] tour,ships [2] sentonei,jgdefibaugh [2] ships,shouldn [2] shouldn,exist Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
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 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: