The graph represents a network of 644 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 January 2021 at 02:52 UTC.
The requested start date was Thursday, 07 January 2021 at 01:01 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, 19-hour, 15-minute period from Thursday, 24 December 2020 at 02:15 UTC to Wednesday, 06 January 2021 at 21:30 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 : 644
Unique Edges : 782
Edges With Duplicates : 1251
Total Edges : 2033
Number of Edge Types : 5
Tweet : 128
Retweet : 502
MentionsInRetweet : 1040
Mentions : 358
Replies to : 5
Self-Loops : 139
Reciprocated Vertex Pair Ratio : 0.0232358003442341
Reciprocated Edge Ratio : 0.0454163162321278
Connected Components : 71
Single-Vertex Connected Components : 36
Maximum Vertices in a Connected Component : 464
Maximum Edges in a Connected Component : 1698
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.79176
Graph Density : 0.00287134260019513
Modularity : 0.403471
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 644 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 January 2021 at 02:52 UTC.
The requested start date was Thursday, 07 January 2021 at 01:01 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, 19-hour, 15-minute period from Thursday, 24 December 2020 at 02:15 UTC to Wednesday, 06 January 2021 at 21:30 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:
[103] underwater,traffic [103] traffic,circle [103] circle,opening [103] opening,beneath [103] beneath,atlantic [103] atlantic,ocean [97] enricomolinari,underwater [88] enricomolinari,#traveltech [70] #ai,#iot [68] ocean,cheddargadgets Top Word Pairs in Tweet in G1:
[44] underwater,traffic [44] traffic,circle [44] circle,opening [44] opening,beneath [44] beneath,atlantic [44] atlantic,ocean [39] enricomolinari,#traveltech [38] enricomolinari,underwater [27] ocean,solid [23] number,passengers Top Word Pairs in Tweet in G2:
[43] #ai,#iot [38] enricomolinari,#ai [35] enricomolinari,#traveltech [34] amphibious,bus [34] both,roads [34] roads,water [34] cheddar,enricomolinari [32] mashable,enricomolinari [29] #traveltech,amphibious [29] bus,useful Top Word Pairs in Tweet in G3:
[25] #travel,#traveltech [20] greener,future [20] future,ready [20] ready,land [20] land,wef [20] wef,#travel [19] #traveltech,#sustainability [19] #sustainability,#aviation [19] travelesquire,greener [16] #aviation,#aviati Top Word Pairs in Tweet in G4:
[42] enricomolinari,underwater [42] underwater,traffic [42] traffic,circle [42] circle,opening [42] opening,beneath [42] beneath,atlantic [42] atlantic,ocean [41] ocean,cheddargadgets [41] cheddargadgets,enricomo [2] travelesquire,greener Top Word Pairs in Tweet in G5:
[8] 旅行,traveltech [8] traveltech,トラベルテック [8] トラベルテック,領域のit企業 [7] #travel,#traveltech [4] acomodeo,helps [4] helps,companies [4] companies,find [4] find,serviced [4] serviced,apartments [4] apartments,worldwide Top Word Pairs in Tweet in G6:
[13] enricomolinari,#traveltech [12] visualcap,wttc [12] #bigdata,#ai [12] #ai,#iiot [12] #iiot,#iot [10] industry,visualcap [9] enricomolinari,countries [9] countries,earn [9] earn,travel [9] travel,tourism Top Word Pairs in Tweet in G7:
[21] #robot,follow [21] follow,around [21] around,#starwars [21] #starwars,r2 [21] r2,d2 [21] d2,carry [21] carry,stuff [21] stuff,margaretsiegien [20] glengilmore,#robot [20] margaretsiegien,piaggio_group Top Word Pairs in Tweet in G8:
[35] rachète,activités [35] activités,concurrent [35] concurrent,allemand [29] traveltech,français [29] français,yescapa [29] yescapa,rachète [10] allemand,frenchweb [4] français,#yescapa [4] #yescapa,rachète [3] allemand,#shareacamper Top Word Pairs in Tweet in G9:
[2] thanks,#traveltech [2] #traveltech,gds [2] gds,members [2] members,amadeusitgroup [2] amadeusitgroup,sabre_corp [2] sabre_corp,travelport [2] travelport,serve [2] serve,backbone [2] night,minimum [2] travel,trends Top Word Pairs in Tweet in G10:
[6] travelmassive,edinburgh [4] re,delighted [4] delighted,meeting [4] meeting,travelmassive [4] edinburgh,community [4] community,provide [4] provide,updates [4] updates,traveltech [4] traveltech,scotland [3] well,done Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G6:
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: