The graph represents a network of 451 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, 28 July 2022 at 01:35 UTC.
The requested start date was Thursday, 28 July 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, 16-hour, 52-minute period from Thursday, 14 July 2022 at 02:57 UTC to Wednesday, 27 July 2022 at 19:50 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 : 451
Unique Edges : 282
Edges With Duplicates : 6566
Total Edges : 6848
Number of Edge Types : 5
Mentions : 2209
Tweet : 305
MentionsInRetweet : 1740
Retweet : 2585
Replies to : 9
Self-Loops : 1455
Reciprocated Vertex Pair Ratio : 0.0352250489236791
Reciprocated Edge Ratio : 0.0680529300567108
Connected Components : 101
Single-Vertex Connected Components : 65
Maximum Vertices in a Connected Component : 275
Maximum Edges in a Connected Component : 6544
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.190613
Graph Density : 0.00260655333826066
Modularity : 0.076029
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 451 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, 28 July 2022 at 01:35 UTC.
The requested start date was Thursday, 28 July 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, 16-hour, 52-minute period from Thursday, 14 July 2022 at 02:57 UTC to Wednesday, 27 July 2022 at 19:50 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:
[3279] #cx,#women [3270] #healthtech,#datascientist [3269] #women,#ehealth [3269] #ehealth,#finserv [3266] #digitalhealth,#cx [2673] #web3,#digitalhealth [2669] #datascientist,#web3 [2615] #finserv,#cloud [2469] #cloud,#insurtech [2118] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[3233] #cx,#women [3224] #ehealth,#finserv [3224] #healthtech,#datascientist [3224] #women,#ehealth [3222] #digitalhealth,#cx [2671] #web3,#digitalhealth [2667] #datascientist,#web3 [2614] #finserv,#cloud [2468] #cloud,#insurtech [2074] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[55] digital,age [21] age,networking [20] ale,digital [20] passenger,experience [20] #mobility,#traveltech [20] #traveltech,#whereeverythingconnects [19] transport,entering [19] entering,digital [19] transform,without [19] without,restriction Top Word Pairs in Tweet in G3:
[58] #women,#usa [44] #healthtech,#datascientist [44] #datascientist,#mwc22 [44] #cx,#women [43] #women,#ehealth [43] #ehealth,#finserv [42] chidambara09,#healthtech [42] #digitalhealth,#cx [42] #finserv,#bigdata [41] #mwc22,#digital Top Word Pairs in Tweet in G4:
[7] global,cash [7] cash,card [5] #fintech,#traveltech [4] #tripmoney,#travelmoney [4] tripmoney,global [3] companies,radar [3] more,#fintech [3] perfect,emotion [3] emotion,describes [3] describes,love Top Word Pairs in Tweet in G5:
[5] attbusiness,#attinfluencer [5] exasperated,passengers [5] passengers,beg [5] beg,airlines [5] airlines,look [5] look,apple [5] apple,airtag [5] airtag,data [5] data,help [5] help,find Top Word Pairs in Tweet in G6:
[4] time,crack [4] crack,few [4] few,entries [4] entries,#traveltech [4] #traveltech,#innovators [4] #innovators,#travoawards22 [4] #travoawards22,travolution [4] tech,trends [4] trends,watch [3] lottmus,time Top Word Pairs in Tweet in G7:
[2] incredible,#edtech [2] #edtech,#cx [2] #cx,#iot [2] #iot,#traveltech [2] #traveltech,#proptech [2] #proptech,floating [2] floating,bridge [2] bridge,ty [2] ty,iambriangraham [2] iambriangraham,immbm Top Word Pairs in Tweet in G8:
[4] welcome,scotland [4] scotland,travelperk [4] travelperk,another [4] another,innovative [4] innovative,#traveltech [4] #traveltech,company [4] company,scotland [4] scotland,joining [4] joining,over [4] over,100 Top Word Pairs in Tweet in G9:
[8] travel,industry [6] travel,service [6] service,platform [6] know,#artificialintelligence [6] #artificialintelligence,changing [6] changing,#travel [6] #travel,industry [6] industry,checkout [6] checkout,benefits [6] benefits,use Top Word Pairs in Tweet in G10:
[8] #developers,#developerjobs [7] #itjobopportunity,#developers [7] #developerjobs,#softwaredeveloper [7] #softwaredeveloper,#technology [7] #technology,#innovation [6] #hiringdevelopers,#itjobs [6] #itjobs,#itjobopportunity [6] #innovation,#traveltech [5] #hiringalerts,#hiringimmediately [5] #hiringimmediately,#hiringdevelopers 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: