The graph represents a network of 513 Twitter users whose tweets in the requested range contained "traveltech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 22 December 2022 at 02:42 UTC.
The requested start date was Thursday, 22 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 18-hour, 19-minute period from Thursday, 08 December 2022 at 03:00 UTC to Wednesday, 21 December 2022 at 21:19 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 : 513
Unique Edges : 342
Edges With Duplicates : 11015
Total Edges : 11357
Number of Edge Types : 5
Retweet : 4375
MentionsInRetweet : 1989
Tweet : 950
Mentions : 4027
Replies to : 16
Self-Loops : 3565
Reciprocated Vertex Pair Ratio : 0.0333333333333333
Reciprocated Edge Ratio : 0.0645161290322581
Connected Components : 119
Single-Vertex Connected Components : 74
Maximum Vertices in a Connected Component : 237
Maximum Edges in a Connected Component : 10852
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.955672
Graph Density : 0.00224247685185185
Modularity : 0.051513
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 513 Twitter users whose tweets in the requested range contained "traveltech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 22 December 2022 at 02:42 UTC.
The requested start date was Thursday, 22 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 18-hour, 19-minute period from Thursday, 08 December 2022 at 03:00 UTC to Wednesday, 21 December 2022 at 21:19 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 : GraphServerTwitterSearch
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:
[6978] #healthtech,#smartcity [6973] #datascientist,#csuite [6958] #smartcity,#datascientist [6955] #csuite,#digitalhealth [6939] #digitalhealth,#web3 [6926] #web3,#cx [6876] #cx,#ehealth [6854] #ehealth,#finserv [5642] #finserv,#cloud [4277] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[6016] #healthtech,#smartcity [6014] #datascientist,#csuite [6003] #smartcity,#datascientist [5999] #csuite,#digitalhealth [5987] #digitalhealth,#web3 [5978] #web3,#cx [5926] #cx,#ehealth [5912] #ehealth,#finserv [4811] #finserv,#cloud [3343] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[9] tech,checklist [9] #traveltech,#techtraveltips [9] learn,more [9] avoid,travel [9] travel,nightmares [9] checklist,avoid [9] use,step [9] step,tech [8] nightmares,#traveltech [7] traveltech,トラベルテック Top Word Pairs in Tweet in G3:
[959] #healthtech,#smartcity [956] #datascientist,#csuite [953] #csuite,#digitalhealth [952] #smartcity,#datascientist [949] #digitalhealth,#web3 [947] #cx,#ehealth [945] #web3,#cx [939] #ehealth,#finserv [932] chidambara09,#healthtech [829] #finserv,#cloud Top Word Pairs in Tweet in G4:
[12] #travel,#aviation [11] creating,sonic [11] sonic,boom [11] #aircraft,travel [11] travel,without [11] boom,snt [11] curieuxexplorer,#aviation [11] snt,curieuxexplorer [11] #supersonic,#aircraft [11] without,creating Top Word Pairs in Tweet in G5:
[4] markus,maryrega [4] maryrega,#cruisenews [4] #cruisenews,#partnership [4] meet,ceo [4] #partnership,#traveltech [4] hope,meet [4] ceo,markus [4] wonderful,hope [3] interview,justin [3] next,belverapartners Top Word Pairs in Tweet in G6:
[2] #innovation,#traveltech [2] #developerjobs,#softwaredeveloper [2] #itjobopportunity,#developers [2] #technology,#innovation [2] #developers,#developerjobs [2] #softwaredeveloper,#technology Top Word Pairs in Tweet in G7:
[8] mejor,startup [5] diferentes,sectores [5] ganadores,#vlcstartupawards [5] premian,innovación [5] sectores,energy [5] startup,traveltech [5] tenemos,proyectos [5] proyectos,ganadores [5] innovación,diferentes [5] #vlcstartupawards,premian Top Word Pairs in Tweet in G8:
[4] inspiring,impact [4] meet,#5gtrailblazers [4] impact,stories [4] stories,meet [4] using,#5g [4] #5gtrailblazers,using [4] #innovation,#sustainability [4] #sustainability,#edutech [4] #5g,inspiring [4] #5g,#innovation Top Word Pairs in Tweet in G9:
[7] assistance,producthunt [7] vessel,operator [7] operator,app [7] odi,assistance [7] launched,vessel [7] app,odi [7] appreciate,support [7] producthunt,appreciate [6] odiapp_mv,launched Top Word Pairs in Tweet in G10:
[16] #travelagency,#onlinetravelagency [14] #tourism,#booking [14] #traveltech,#travelbusiness [14] #technology,#traveltech [14] #travelbusiness,#leisure [14] #leisure,#tourism [14] #onlinetravelagency,#technology [4] #globally,#travelagency [4] #india,#us [4] discuss,steps Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
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: