The graph represents a network of 384 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, 08 December 2022 at 02:30 UTC.
The requested start date was Thursday, 08 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, 16-hour, 54-minute period from Thursday, 24 November 2022 at 03:55 UTC to Wednesday, 07 December 2022 at 20:50 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 : 384
Unique Edges : 226
Edges With Duplicates : 5607
Total Edges : 5833
Number of Edge Types : 5
Retweet : 2183
MentionsInRetweet : 981
Mentions : 2261
Tweet : 400
Replies to : 8
Self-Loops : 1737
Reciprocated Vertex Pair Ratio : 0.0335365853658537
Reciprocated Edge Ratio : 0.0648967551622419
Connected Components : 109
Single-Vertex Connected Components : 70
Maximum Vertices in a Connected Component : 127
Maximum Edges in a Connected Component : 5376
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.68503
Graph Density : 0.00230499347258486
Modularity : 0.063895
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 384 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, 08 December 2022 at 02:30 UTC.
The requested start date was Thursday, 08 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, 16-hour, 54-minute period from Thursday, 24 November 2022 at 03:55 UTC to Wednesday, 07 December 2022 at 20:50 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:
[3278] #datascientist,#csuite [3275] #csuite,#digitalhealth [3267] #digitalhealth,#web3 [3265] #ehealth,#finserv [3265] #cx,#ehealth [3260] #web3,#cx [3042] #healthtech,#smartcity [3040] #smartcity,#datascientist [2992] #finserv,#cloud [1974] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[3276] #datascientist,#csuite [3273] #csuite,#digitalhealth [3265] #digitalhealth,#web3 [3264] #ehealth,#finserv [3264] #cx,#ehealth [3259] #web3,#cx [3040] #healthtech,#smartcity [3038] #smartcity,#datascientist [2991] #finserv,#cloud [1973] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[19] #digitalage,transport [19] experience,increased [19] increased,safety [18] take,business [18] passenger,experience [18] superior,passenger [18] transport,solutions [18] solutions,take [18] business,superior [12] better,operational Top Word Pairs in Tweet in G3:
[8] موسوعة,جينيس [8] القياسية,قد [8] حاسوبي,ما [8] حسب,موسوعة [8] التشغيل,حسب [8] ما,زال [8] عمره,اليوم [8] اليوم,٦٢ [8] نظام,حجوزات [8] ٦٢,سنة Top Word Pairs in Tweet in G4:
[3] tech,obtain [3] evaneos,first [3] certification,collects [3] first,french [3] obtain,corp [3] 20m,funding [3] french,travel [3] corp,certification [3] travel,tech [3] collects,20m Top Word Pairs in Tweet in G5:
[15] belief,vision [15] always,pays [15] integrity,belief [15] pays,grit [15] grit,integrity [15] work,always [15] hard,work [15] vision,passion [14] theanswer_web3,hard [14] passion,mos Top Word Pairs in Tweet in G6:
[5] without,refueling [3] 279,seater [3] plane,fly [3] #travel,experience [3] seater,fly [3] #2023,#traveltech [3] hydrogen,plane [3] francisco,without [3] #traveltech,#aviation [3] fly,halfway Top Word Pairs in Tweet in G7:
[3] read,more [3] team,latest [3] team,bywaytravel [3] technology,team [3] well,done [3] massive,congratulations [3] congratulations,traveltekltd [3] scotland,community [3] community,team [3] best,technology Top Word Pairs in Tweet in G8:
[4] technology,provider [4] award,uzakrota [4] world's,leading [4] provider,award [4] travel,awards [4] won,world's [4] uzakrota,travel [4] meetingpackage,won [4] awards,2022 [4] leading,hotel Top Word Pairs in Tweet in G10:
[4] lounge,access [4] card,membership [4] membership,perks [4] payment,card [4] mastercard,payment [4] benefits,mastercard [4] airport,lounge [4] ready,upgrade [4] upgrade,benefits [4] perks,airport Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
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: