The graph represents a network of 556 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 02:22 UTC.
The tweets in the network were tweeted over the 672-day, 10-hour, 59-minute period from Wednesday, 14 April 2021 at 13:53 UTC to Thursday, 16 February 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 : 556
Unique Edges : 422
Edges With Duplicates : 11334
Total Edges : 11756
Number of Edge Types : 8
Tweet : 274
Retweet : 3161
MentionsInRetweet : 3483
Mentions : 4727
Quote : 14
MentionsInQuote : 27
Replies to : 18
MentionsInReplyTo : 52
Self-Loops : 4454
Reciprocated Vertex Pair Ratio : 0.0549682875264271
Reciprocated Edge Ratio : 0.104208416833667
Connected Components : 224
Single-Vertex Connected Components : 180
Maximum Vertices in a Connected Component : 190
Maximum Edges in a Connected Component : 11171
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.438883
Graph Density : 0.00161708471060989
Modularity : 0.045082
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 556 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 02:22 UTC.
The tweets in the network were tweeted over the 672-day, 10-hour, 59-minute period from Wednesday, 14 April 2021 at 13:53 UTC to Thursday, 16 February 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:
[4437] #healthtech,#smartcity [4421] #vive2023,#healthtech [4419] #smartcity,#5g [4414] #csuite,#digitalhealth [4411] #digitalhealth,#web3 [4408] #datascientist,#csuite [4405] #5g,#datascientist [4397] #web3,#cx [4393] #cx,#ehealth [2996] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[112] office,wheels [112] connected,office [112] carrier,suitcase [112] #uncarrieron,#traveltech [112] digitally,connected [112] wheels,#uncarrieron [112] suitcase,digitally [103] mobile's,carrier [19] traveltech,lab [16] hotelbeds,wayra Top Word Pairs in Tweet in G2:
[3389] #healthtech,#smartcity [3375] #smartcity,#5g [3375] #vive2023,#healthtech [3373] #digitalhealth,#web3 [3372] #csuite,#digitalhealth [3367] #datascientist,#csuite [3364] #web3,#cx [3364] #5g,#datascientist [3363] #cx,#ehealth [1970] chidambara09,#vive2023 Top Word Pairs in Tweet in G3:
[1048] #healthtech,#smartcity [1046] #vive2023,#healthtech [1044] #smartcity,#5g [1042] #csuite,#digitalhealth [1041] #5g,#datascientist [1041] #datascientist,#csuite [1038] #digitalhealth,#web3 [1033] #web3,#cx [1030] #cx,#ehealth [1026] chidambara09,#vive2023 Top Word Pairs in Tweet in G4:
[4] lottmus,ready [3] cruisewatchcom,call [3] call,center [3] #traveltech,debates [3] eyes,travel [3] startups,#expedia [3] barcelona,june [3] come,barcelona [3] travel,accessibility [3] rescue,#ai Top Word Pairs in Tweet in G5:
[9] traveltech,lab [7] hotelbeds,wayra [6] china,#traveltech [6] leaders,discuss [6] ntgtravel,thought [6] developments,more [6] #traveltech,developments [6] discuss,reopening [6] reopening,china [6] thought,leaders Top Word Pairs in Tweet in G6:
[8] #preseed,seed [7] series,office [7] seed,series [6] #venturecapital,#startup [6] #startup,#startups [4] airlines,unlock [4] #embeddedfinance,#cx [4] engagement,meant [4] unlock,full [4] value,staff Top Word Pairs in Tweet in G7:
[7] guy,#traveltech [7] wanna,guy [7] strangershq,wanna [7] pfp,strangershq [6] ornithologi_eth,pfp [3] introducing,photography [3] photography,web3 [3] web3,revolutionizing [3] again,introducing [3] travel,industry Top Word Pairs in Tweet in G8:
[32] #vol,départ [31] #traveltech,#magellio [11] #saintvalentin,#fevrier [11] saint,valentin [11] #fevrier,#vol [10] #paris,#hotel [9] départ,#paris [8] #portugal,#traveltech [8] #hotel,#portugal [7] suivez,magellio1 Top Word Pairs in Tweet in G9:
[3] skyscanner,interesting [3] see,company [3] ferguson,director [3] interesting,see [3] destinations,hotels [3] hotels,skyscanner [3] director,destinations [3] hearing,mike [3] company,journey [3] mike,ferguson Top Word Pairs in Tweet in G10:
[2] #traveltech,watch [2] innovations,boeing [2] early,2023 [2] list,#traveltech [2] boeing,nasa [2] climeworks,gurobi [2] 2023,innovations [2] nasa,boomaero [2] boomaero,climeworks [2] watch,early Top Replied-To in Entire Graph:
Top Replied-To in G2:
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: