The graph represents a network of 822 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, 14 January 2021 at 02:52 UTC.
The requested start date was Thursday, 14 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, 18-hour, 43-minute period from Thursday, 31 December 2020 at 02:57 UTC to Wednesday, 13 January 2021 at 21:40 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 : 822
Unique Edges : 976
Edges With Duplicates : 1884
Total Edges : 2860
Number of Edge Types : 5
Retweet : 696
MentionsInRetweet : 1406
Mentions : 613
Replies to : 15
Tweet : 130
Self-Loops : 142
Reciprocated Vertex Pair Ratio : 0.0344827586206897
Reciprocated Edge Ratio : 0.0666666666666667
Connected Components : 75
Single-Vertex Connected Components : 39
Maximum Vertices in a Connected Component : 634
Maximum Edges in a Connected Component : 2514
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.719356
Graph Density : 0.00235603723427901
Modularity : 0.378654
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 822 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, 14 January 2021 at 02:52 UTC.
The requested start date was Thursday, 14 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, 18-hour, 43-minute period from Thursday, 31 December 2020 at 02:57 UTC to Wednesday, 13 January 2021 at 21:40 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:
[123] techinsider,enricomolinari [118] underwater,traffic [118] traffic,circle [118] circle,opening [118] opening,beneath [118] beneath,atlantic [118] atlantic,ocean [112] enricomolinari,underwater [85] #iot,#marketing [84] enricomolinari,#happyweekend Top Word Pairs in Tweet in G1:
[101] underwater,traffic [101] traffic,circle [101] circle,opening [101] opening,beneath [101] beneath,atlantic [101] atlantic,ocean [95] enricomolinari,underwater [61] ocean,ðÿœš [61] ðÿœš,cheddargadgets [56] cheddargadgets,enricomoâ Top Word Pairs in Tweet in G2:
[29] surfnsunshine,travelesquire [26] #travel,#aviation [25] #travel,#traveltech [21] #travel,#luxurytravel [14] #luxurylifestyle,#traveltech [12] greener,future [12] future,ready [12] ready,land [12] land,wef [12] wef,#travel Top Word Pairs in Tweet in G3:
[83] techinsider,enricomolinari [57] enricomolinari,#happyweekend [57] #iot,#marketing [56] #happyweekend,#traveltech [56] road,adventures [56] adventures,techinsider [56] #marketing,#cx [40] #traveltech,road [40] enricomolinari,#smarthome [40] #smarthome,#iot Top Word Pairs in Tweet in G4:
[31] #blockchain,revolutionize [31] revolutionize,future [31] future,#cybersecurity [27] #cybersecurity,co [21] #robot,follow [21] follow,around [21] around,#starwars [21] #starwars,r2 [21] r2,d2 [21] d2,carry Top Word Pairs in Tweet in G5:
[6] #travel,#traveltech [6] 旅行,traveltech [6] traveltech,トラベルテック [6] トラベルテック,領域のit企業 [6] around,world [6] world,teams [6] teams,best [6] best,served [6] served,doing [6] doing,job Top Word Pairs in Tweet in G6:
[40] concurrent,allemand [35] rachã,activitã [35] activitã,concurrent [33] franã,ais [29] traveltech,franã [29] ais,yescapa [29] yescapa,rachã [10] allemand,frenchweb [5] #traveltech,français [5] français,yescapa_fr Top Word Pairs in Tweet in G7:
[3] travel,trends [2] future,travel [2] night,minimum [2] year,travel [2] early,stage [2] curated,content [2] content,leadership [2] leadership,well [2] well,being [2] being,employees Top Word Pairs in Tweet in G8:
[14] atout_france,welcomecitylab [14] welcomecitylab,sont [14] sont,heureux [14] heureux,donner [14] donner,parole [14] parole,aux [13] appel,candidatures [11] #traveltechðÿ,atout_france [11] aux,laurã [11] laurã,ats Top Word Pairs in Tweet in G9:
[6] travelmassive,edinburgh [5] first,newsletter [5] newsletter,2021 [5] 2021,plenty [5] plenty,#traveltech [5] #traveltech,news [5] news,events [5] events,opportunities [4] traveltechscot,first [4] opportunities,business Top Word Pairs in Tweet in G10:
[13] #traveltech,industry [13] industry,severely [13] severely,hit [13] hit,pandemic [13] pandemic,irish [13] irish,innovation [13] innovation,technologies [13] technologies,accelerate [12] entirl,#traveltech [12] accelerate,recovâ Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G7:
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: