The graph represents a network of 587 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, 23 June 2022 at 01:34 UTC.
The requested start date was Thursday, 23 June 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, 17-hour, 48-minute period from Thursday, 09 June 2022 at 01:16 UTC to Wednesday, 22 June 2022 at 19:05 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 : 587
Unique Edges : 469
Edges With Duplicates : 9570
Total Edges : 10039
Number of Edge Types : 5
Tweet : 793
Mentions : 2493
Replies to : 16
Retweet : 4065
MentionsInRetweet : 2672
Self-Loops : 2485
Reciprocated Vertex Pair Ratio : 0.0629470672389127
Reciprocated Edge Ratio : 0.118438761776581
Connected Components : 137
Single-Vertex Connected Components : 75
Maximum Vertices in a Connected Component : 308
Maximum Edges in a Connected Component : 9569
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.928533
Graph Density : 0.00215999674401568
Modularity : 0.073448
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 587 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, 23 June 2022 at 01:34 UTC.
The requested start date was Thursday, 23 June 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, 17-hour, 48-minute period from Thursday, 09 June 2022 at 01:16 UTC to Wednesday, 22 June 2022 at 19:05 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:
[5282] #cx,#women [5275] #digitalhealth,#cx [5271] #des2022,#digitalhealth [5267] #women,#ehealth [5266] #datascientist,#mwc22 [5242] #mwc22,#ai [5229] #ai,#des2022 [5222] #healthtech,#datascientist [4890] #ehealth,#ces2023 [3546] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[5229] #cx,#women [5222] #digitalhealth,#cx [5218] #des2022,#digitalhealth [5214] #women,#ehealth [5213] #datascientist,#mwc22 [5189] #mwc22,#ai [5176] #ai,#des2022 [5171] #healthtech,#datascientist [4837] #ehealth,#ces2023 [3495] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[22] traveltech,show [21] travel,industry [12] trailblazer,competition [12] 29,30 [12] 30,june [10] theatre,name [10] industry,sees [10] sees,marketing [10] marketing,potential [10] potential,web3 Top Word Pairs in Tweet in G3:
[16] connected,vs [16] vs,smart [16] smart,transportation [16] transportation,difference [16] difference,discover [16] discover,ale's [16] ale's,portfolio [16] portfolio,#traveltech [16] #traveltech,end [16] end,end Top Word Pairs in Tweet in G4:
[21] amphibious,bus [21] bus,cheddar [21] cheddar,#autonomousvehicles [21] #autonomousvehicles,#iot [21] #iot,#traveltech [19] #traveltech,cc [19] cc,enricomolinari [19] enricomolinari,jblefevre60 [19] jblefevre60,ym78200 [18] ronald_vanloon,amphibious Top Word Pairs in Tweet in G5:
[28] #datascientist,#mwc22 [28] #mwc22,#ai [28] #ai,#des2022 [28] #des2022,#digitalhealth [28] #digitalhealth,#cx [28] #cx,#women [28] #women,#ehealth [28] #ehealth,#ces2023 [27] chidambara09,#healthtech [27] #healthtech,#datascientist Top Word Pairs in Tweet in G6:
[14] insured,nomads [11] excited,share [11] share,peanut [11] peanut,part [11] part,insured [11] nomads,commited [11] commited,making [11] making,travel [11] travel,safe [11] safe,smart Top Word Pairs in Tweet in G7:
[7] #traveltech,méxico [4] oleada,emprendimientos [4] emprendimientos,sector [4] sector,#traveltech [4] méxico,transformado [4] transformado,industria [4] industria,viajes [4] viajes,mediante [3] endeavormexico,oleada [3] mediante,adopc Top Word Pairs in Tweet in G8:
[5] 80,million [4] travel,bounces [4] bounces,back [4] back,two [4] two,years [4] years,berlin [4] berlin,based [4] based,omioglobal [4] omioglobal,nabs [4] nabs,80 Top Word Pairs in Tweet in G9:
[2] average,air [2] air,taxi [2] taxi,cheaper [2] cheaper,uber [2] uber,black [2] black,study [2] study,robbreport [2] robbreport,#ev [2] #ev,#evtol [2] travelers,inspect Top Word Pairs in Tweet in G10:
[6] #traveltech,community [5] wins,#traveltech [4] more,scottishedge [4] scottishedge,wins [4] community,stop [4] stop,smiling [4] smiling,congratulations [4] congratulations,jeremy [4] jeremy,viner [4] well,done 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 G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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: