The graph represents a network of 715 Twitter users whose recent tweets contained "traveltech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 02:22 UTC.
The tweets in the network were tweeted over the 618-day, 21-hour, 29-minute period from Monday, 31 May 2021 at 02:06 UTC to Wednesday, 08 February 2023 at 23:36 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 715
Unique Edges : 577
Edges With Duplicates : 11213
Total Edges : 11790
Number of Edge Types : 8
Retweet : 3012
MentionsInRetweet : 3366
Tweet : 366
Replies to : 28
MentionsInReplyTo : 102
Mentions : 4861
Quote : 16
MentionsInQuote : 39
Self-Loops : 4635
Reciprocated Vertex Pair Ratio : 0.0630914826498423
Reciprocated Edge Ratio : 0.118694362017804
Connected Components : 285
Single-Vertex Connected Components : 223
Maximum Vertices in a Connected Component : 245
Maximum Edges in a Connected Component : 10976
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.413733
Graph Density : 0.00132024837907191
Modularity : 0.061113
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 715 Twitter users whose recent tweets contained "traveltech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 02:22 UTC.
The tweets in the network were tweeted over the 618-day, 21-hour, 29-minute period from Monday, 31 May 2021 at 02:06 UTC to Wednesday, 08 February 2023 at 23:36 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : traveltech
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:
[4258] #healthtech,#smartcity [4253] #digitalhealth,#web3 [4246] #csuite,#digitalhealth [4244] #web3,#cx [4240] #datascientist,#csuite [4232] #cx,#ehealth [4189] #smartcity,#5g [4182] #5g,#datascientist [4142] #vive2023,#healthtech [2751] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[147] office,wheels [147] connected,office [147] carrier,suitcase [147] #uncarrieron,#traveltech [147] digitally,connected [147] wheels,#uncarrieron [147] suitcase,digitally [138] mobile's,carrier [13] 旅行,traveltech [13] traveltech,トラベルテック Top Word Pairs in Tweet in G2:
[3829] #healthtech,#smartcity [3826] #digitalhealth,#web3 [3819] #csuite,#digitalhealth [3817] #web3,#cx [3813] #datascientist,#csuite [3806] #cx,#ehealth [3766] #smartcity,#5g [3759] #5g,#datascientist [3719] #vive2023,#healthtech [2331] chidambara09,#vive2023 Top Word Pairs in Tweet in G3:
[429] #healthtech,#smartcity [427] #datascientist,#csuite [427] #digitalhealth,#web3 [427] #web3,#cx [427] #csuite,#digitalhealth [426] #cx,#ehealth [423] #vive2023,#healthtech [423] #5g,#datascientist [423] #smartcity,#5g [420] chidambara09,#vive2023 Top Word Pairs in Tweet in G4:
[4] #finserv,#fintech [4] #insurtech,#traveltech [4] next,boat [4] boat,car [4] mashable,enricomolinari [4] enricomolinari,#marketing [4] #marketing,#finserv [4] car,mashable [4] #fintech,#insurtech [3] #traveltech,ianknowlso Top Word Pairs in Tweet in G5:
[4] come,join [3] 8th,march [3] technology,tours [3] #traveltech,debates [3] tta,forum [3] itb_berlin,opens [3] #travel,#traveltech [3] doors,again [3] perfect,match [3] match,heaven Top Word Pairs in Tweet in G6:
[17] efficient,cost [17] more,efficient [17] way,travel [17] effective,secure [17] secure,way [17] #boxatraveltoken,#boxatravelplatform [17] cost,effective [17] ready,more [17] travel,#boxatraveltoken [9] boxatravelcom,boxa Top Word Pairs in Tweet in G7:
[4] #ise2023,ise_show [4] avixa,#ise2023 [4] organitzat,juntament [4] els,nostres [4] tour,hem [4] amb,eurecat_news [4] eurecat_news,avixa [4] ise_show,els [4] hem,organitzat [4] nostres,membres Top Word Pairs in Tweet in G8:
[54] #vol,départ [51] #traveltech,#magellio [18] vol,hôtel [18] #fevrier,#vol [18] saint,valentin [18] #saintvalentin,#fevrier [16] #paris,#hotel [16] départ,#paris [14] #ponts,#mai [14] #mai,#vol Top Word Pairs in Tweet in G10:
[7] bravo,aux [7] aux,startups [6] activités,touristiques [6] impact,environnemental [6] startups,#traveltech [6] environnemental,activités [6] mesure,impact [6] #traveltech,murmurationsas [6] murmurationsas,mesure [5] lebouchercaro,bravo Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
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: