The graph represents a network of 537 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, 07 April 2022 at 02:15 UTC.
The requested start date was Thursday, 07 April 2022 at 00:01 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, 11-minute period from Thursday, 24 March 2022 at 02:55 UTC to Wednesday, 06 April 2022 at 21:07 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 : 537
Unique Edges : 498
Edges With Duplicates : 10279
Total Edges : 10777
Number of Edge Types : 5
MentionsInRetweet : 3263
Mentions : 3040
Retweet : 4164
Replies to : 17
Tweet : 293
Self-Loops : 1803
Reciprocated Vertex Pair Ratio : 0.0501835985312118
Reciprocated Edge Ratio : 0.0955710955710956
Connected Components : 90
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 326
Maximum Edges in a Connected Component : 10390
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.95093
Graph Density : 0.0029809055282248
Modularity : 0.071612
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 537 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, 07 April 2022 at 02:15 UTC.
The requested start date was Thursday, 07 April 2022 at 00:01 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, 11-minute period from Thursday, 24 March 2022 at 02:55 UTC to Wednesday, 06 April 2022 at 21:07 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:
[5140] #women,#ehealth [5029] #ehealth,#ces2023 [5026] #cx,#women [4506] #ces2023,#finserv [3816] #healthtech,#datascientist [3231] #digitalhealth,#cloud [2616] chidambara09,#healthtech [1749] #ai,#digitalhealth [1616] #cloud,#cx [1613] #datascientist,#cloud Top Word Pairs in Tweet in G1:
[4903] #women,#ehealth [4799] #ehealth,#ces2023 [4797] #cx,#women [4309] #ces2023,#finserv [3635] #healthtech,#datascientist [3069] #digitalhealth,#cloud [2450] chidambara09,#healthtech [1664] #ai,#digitalhealth [1554] #datascientist,#cloud [1514] #cloud,#cx Top Word Pairs in Tweet in G2:
[211] #women,#ehealth [204] #cx,#women [204] #ehealth,#ces2023 [173] #ces2023,#finserv [158] #healthtech,#datascientist [147] #digitalhealth,#cloud [143] chidambara09,#healthtech [93] #cloud,#cx [77] #ai,#digitalhealth [70] #datascientist,#iot Top Word Pairs in Tweet in G3:
[4] #travel,#traveltech [4] traveltech,show [4] show,announces [4] announces,conference [4] conference,agenda [4] agenda,opens [4] opens,registration [2] acomodeo,helps [2] helps,companies [2] companies,find Top Word Pairs in Tweet in G4:
[36] effects,#metaverse [36] #metaverse,#society [36] #society,bernardmarr [36] bernardmarr,forbes [36] forbes,#ai [36] #ai,#ar [36] #ar,#vr [36] #vr,#edtech [36] #edtech,#healthtech [35] bimedotcom,effects Top Word Pairs in Tweet in G5:
[5] find,more [4] tonight,chatting [4] chatting,deanakelly [4] deanakelly,entrepreneurs [4] entrepreneurs,leaders [4] leaders,club [4] club,clubhouse [4] time,journey [4] journey,dashboard [3] robertodare,tonight Top Word Pairs in Tweet in G6:
[24] america,kevin [24] kevin,jennings [23] article,america [23] jennings,transportation [23] transportation,lead [23] lead,aluenterprise [23] aluenterprise,discusses [23] discusses,benefits [18] #whereeverythingconnects,#smartmobility [18] #smartmobility,#logistics Top Word Pairs in Tweet in G7:
[7] airline,software [7] software,vendor [7] vendor,dohop [7] dohop,announced [5] announced,undisclosed [5] undisclosed,growth [5] growth,equity [5] equity,round [4] #icemade,airline [4] round,scottish Top Word Pairs in Tweet in G8:
[5] traveltechscot,catch [5] catch,latest [5] latest,#traveltech [5] #traveltech,news [5] news,updates [5] updates,community [5] community,businesses [5] businesses,inc [5] inc,coastrofficial [5] coastrofficial,nextchainuk Top Word Pairs in Tweet in G9:
[7] iteralix,vitalbook1 [6] tras,iteralix [6] vitalbook1,antonio15814233 [6] antonio15814233,ceo [6] ceo,vyootrip [6] vyootrip,presenta [6] presenta,proyecto [6] proyecto,#traveltech [6] #traveltech,lograr [6] lograr,viajes Top Word Pairs in Tweet in G10:
[6] merci,confédération [6] confédération,acteurs [6] acteurs,#tourisme [6] #tourisme,#cat [6] #cat,particulier [6] particulier,président [6] président,rolandheguy [6] rolandheguy,umih_france [5] laurentqueige,merci [4] great,news Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G9:
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: