The graph represents a network of 314 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 1/11/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 12 January 2023 at 02:22 UTC.
The tweets in the network were tweeted over the 606-day, 5-hour, 48-minute period from Saturday, 15 May 2021 at 19:05 UTC to Thursday, 12 January 2023 at 00:53 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 : 314
Unique Edges : 162
Edges With Duplicates : 12157
Total Edges : 12319
Number of Edge Types : 8
Retweet : 2841
MentionsInRetweet : 2943
Mentions : 6394
Tweet : 101
Quote : 9
MentionsInQuote : 6
Replies to : 16
MentionsInReplyTo : 9
Self-Loops : 6120
Reciprocated Vertex Pair Ratio : 0.05
Reciprocated Edge Ratio : 0.0952380952380952
Connected Components : 78
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 162
Maximum Edges in a Connected Component : 12057
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.44108
Graph Density : 0.0032050629820313
Modularity : 0.026663
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 314 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 1/11/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 12 January 2023 at 02:22 UTC.
The tweets in the network were tweeted over the 606-day, 5-hour, 48-minute period from Saturday, 15 May 2021 at 19:05 UTC to Thursday, 12 January 2023 at 00:53 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:
[4847] #healthtech,#smartcity [4846] #datascientist,#csuite [4846] #csuite,#digitalhealth [4844] #digitalhealth,#web3 [4843] #web3,#cx [4842] #cx,#ehealth [4839] #ehealth,#finserv [4340] #smartcity,#datascientist [2775] chidambara09,#healthtech [2225] #finserv,#mark Top Word Pairs in Tweet in G1:
[4847] #healthtech,#smartcity [4846] #csuite,#digitalhealth [4846] #datascientist,#csuite [4844] #digitalhealth,#web3 [4843] #web3,#cx [4842] #cx,#ehealth [4839] #ehealth,#finserv [4340] #smartcity,#datascientist [2775] chidambara09,#healthtech [2225] #finserv,#mark Top Word Pairs in Tweet in G2:
[7] hotelmize,raises [6] 旅行,traveltech [6] traveltech,トラベルテック [5] トラベルテック,領域のit企業 [5] travel,tech [4] raises,12 [4] 12,million [4] #hospitalitytech,#traveltech [4] #traveltech,#exploretech [4] million,series Top Word Pairs in Tweet in G3:
[13] #autonomous,#smarthome [13] #smarthome,defibrillators [13] ty,shi4tech [13] shi4tech,#ai [13] reuters,ty [13] defibrillators,look [13] #ces2023,reuters [13] look,#tech [13] #tech,#ces2023 [12] glengilmore,#autonomous Top Word Pairs in Tweet in G4:
[2] #traveltech,#innovation [2] attending,ces [2] traveltech,president [2] ces,week [2] ceo,laura [2] week,traveltech [2] chadwick,discussing [2] discussing,#traveltech [2] president,ceo [2] laura,chadwick Top Word Pairs in Tweet in G5:
[10] #digital,#coding [10] story,coming [10] #coding,#insurtech [10] #traveltech,story [10] #milan,#ces [10] #ces,#fintech [10] back,#lasvegas [10] top,#traveltech [10] #fintech,#innovation [10] #lasvegas,#milan Top Word Pairs in Tweet in G6:
[3] fans,lottmus [3] closely,#traveltech [3] good,work [3] work,big [3] follow,closely [3] maryrega,follow [3] keep,good [3] big,fans [3] lottmus,maryrega [2] news,concerned Top Word Pairs in Tweet in G7:
[4] ty,curieuxexplorer [4] #yacht,#designthinking [4] #travel,#sustainabletravel [4] #traveltech,#travel [4] #sustainabletravel,#future [4] air,#yacht [4] #aviation,#traveltech [4] uhp,ty [4] #designthinking,uhp [4] curieuxexplorer,#aviation Top Word Pairs in Tweet in G8:
[5] الطيران,مع [5] تصغر,وعدد [5] مجانية,على [5] يقل,ولكن [5] على,الأقل [5] وعدد,القطع [5] المحمولة,يقل [5] ولكن,على [5] المقاعد,تصغر [5] طريقها,لتكون Top Word Pairs in Tweet in G9:
[3] capito,#venturecapital [3] dati,sul [3] capital,lancia [3] sono,positivi [3] cdp,venture [3] sul,#traveltech [3] argo,dati [3] positivi,finalmente [3] #traveltech,sono [3] finalmente,capito Top Word Pairs in Tweet in G10:
[4] nft,project [4] traveltech,startup [4] startup,ready [4] project,traveltech [4] going,nft [3] xploriusxyz,going Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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: