The graph represents a network of 101 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 12/28/2022 5:00:34 PM. The network was obtained from Twitter on Thursday, 29 December 2022 at 02:19 UTC.
The tweets in the network were tweeted over the 1254-day, 11-hour, 20-minute period from Tuesday, 23 July 2019 at 13:40 UTC to Thursday, 29 December 2022 at 01:00 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 : 101
Unique Edges : 56
Edges With Duplicates : 2833
Total Edges : 2889
Number of Edge Types : 8
Retweet : 569
MentionsInRetweet : 584
Mentions : 1697
Tweet : 21
MentionsInReplyTo : 11
Replies to : 2
Quote : 1
MentionsInQuote : 4
Self-Loops : 1408
Reciprocated Vertex Pair Ratio : 0.0309278350515464
Reciprocated Edge Ratio : 0.06
Connected Components : 25
Single-Vertex Connected Components : 14
Maximum Vertices in a Connected Component : 57
Maximum Edges in a Connected Component : 2836
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.074118
Graph Density : 0.0099009900990099
Modularity : 0.034402
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 101 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 12/28/2022 5:00:34 PM. The network was obtained from Twitter on Thursday, 29 December 2022 at 02:19 UTC.
The tweets in the network were tweeted over the 1254-day, 11-hour, 20-minute period from Tuesday, 23 July 2019 at 13:40 UTC to Thursday, 29 December 2022 at 01:00 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:
[1121] #healthtech,#smartcity [1120] #ehealth,#finserv [1119] #digitalhealth,#web3 [1119] #cx,#ehealth [1119] #csuite,#digitalhealth [1119] #datascientist,#csuite [1119] #web3,#cx [1119] #smartcity,#datascientist [595] #finserv,#cloud [569] #cloud,#insurtech Top Word Pairs in Tweet in G1:
[1077] #ehealth,#finserv [1076] #web3,#cx [1076] #csuite,#digitalhealth [1076] #cx,#ehealth [1076] #digitalhealth,#web3 [1076] #healthtech,#smartcity [1074] #smartcity,#datascientist [1074] #datascientist,#csuite [590] #finserv,#cloud [564] #cloud,#insurtech Top Word Pairs in Tweet in G2:
[5] show,2023 [5] traveltech,show [5] expect,traveltech [2] #hotelexperience,#hotelexperiences Top Word Pairs in Tweet in G3:
[45] #smartcity,#datascientist [45] #healthtech,#smartcity [45] #datascientist,#csuite [45] chidambara09,#healthtech [43] #web3,#cx [43] #csuite,#digitalhealth [43] #cx,#ehealth [43] #digitalhealth,#web3 [43] #ehealth,#finserv [38] #finserv,#clou Top Word Pairs in Tweet in G4:
[2] crew,member Top Word Pairs in Tweet in G5:
[2] nintendo,sweepstakes [2] #airlines,#aviation [2] #traveltech,travelpulse [2] #avgeek,#traveltech [2] sweepstakes,#traveltip [2] teams,nintendo [2] southwestair,teams [2] #aviation,#avgeek [2] #traveltip,#airlines Top Word Pairs in Tweet in G6:
[2] technology,go [2] analysts,#southwestairlines [2] point,flight [2] flight,system [2] alone,ticketing [2] system,antiquated [2] go,alone [2] point,point [2] antiquated,technology [2] #southwestairlines,point Top Word Pairs in Tweet in G7:
[2] #digitalnomad,insurance [2] #insurtech,#traveltech [2] #traveltech,#fintech [2] insurance,#insurtech [2] wise,recommendation [2] recommendation,#digitalnomad [2] thank,wise Top Word Pairs in Tweet in G8:
[2] trips,click [2] itineraries,tickets [2] come,long [2] arranging,entire [2] tickets,arranging [2] click,button [2] way,documents [2] button,read [2] entire,trips [2] documents,itineraries Top Word Pairs in Tweet in G9:
[2] globe,tripmoney [2] cash,card [2] easily,spend [2] flexibility,easily [2] spend,money [2] anywhere,globe [2] money,anywhere [2] card,#tripmoney [2] global,cash [2] tripmoney,global Top Word Pairs in Tweet in G10:
[2] ahead,always [2] #go,#mimiq [2] #track,#go [2] allows,stay [2] hardware,#iotforthepeople [2] #tech,#everyday [2] #iotforthepeople,#ces [2] stay,one [2] #everyday,#track [2] one,step Top Replied-To in Entire Graph:
Top Replied-To in G3:
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: