The graph represents a network of 709 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 October 2021 at 01:51 UTC.
The requested start date was Thursday, 28 October 2021 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, 19-hour, 33-minute period from Thursday, 14 October 2021 at 01:15 UTC to Wednesday, 27 October 2021 at 20:48 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 : 709
Unique Edges : 618
Edges With Duplicates : 1356
Total Edges : 1974
Number of Edge Types : 5
Retweet : 531
MentionsInRetweet : 878
Mentions : 381
Replies to : 14
Tweet : 170
Self-Loops : 175
Reciprocated Vertex Pair Ratio : 0.0581632653061224
Reciprocated Edge Ratio : 0.1099324975892
Connected Components : 93
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 397
Maximum Edges in a Connected Component : 1375
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.904967
Graph Density : 0.00206585227861315
Modularity : 0.467353
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 709 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 October 2021 at 01:51 UTC.
The requested start date was Thursday, 28 October 2021 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, 19-hour, 33-minute period from Thursday, 14 October 2021 at 01:15 UTC to Wednesday, 27 October 2021 at 20:48 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:
[104] travel,tourism [103] tourism,sector [103] 125,billion [102] india,travel [102] sector,expecting [102] expecting,bounce [102] bounce,back [102] back,cross [102] cross,125 [102] billion,2026 Top Word Pairs in Tweet in G1:
[50] statistacharts,enricomolinari [48] enricomolinari,#climatechange [29] enricomolinari,#ai [28] #climatechange,number [28] number,climate [28] climate,disasters [28] disasters,triple [28] triple,generation [28] generation,statistacharts [27] #ai,#s Top Word Pairs in Tweet in G2:
[102] india,travel [102] travel,tourism [102] tourism,sector [102] sector,expecting [102] expecting,bounce [102] bounce,back [102] back,cross [102] cross,125 [102] 125,billion [102] billion,2026 Top Word Pairs in Tweet in G3:
[7] ceo,hiltym [5] well,done [5] done,guys [5] team,building [5] nezasatravel,team [5] #traveltech,#tripplanning [5] looking,forward [4] book,meeting [4] guys,investingcom [4] investingcom,far Top Word Pairs in Tweet in G4:
[20] travelport,accelerator [12] decision,makers [12] makers,game [12] game,changers [12] changers,heavy [12] heavy,hitters [12] hitters,re [12] re,thrilled [12] thrilled,reveal [12] reveal,travelport Top Word Pairs in Tweet in G5:
[9] go,until [9] 'doing,data [9] data,better [9] better,tourism' [9] research,report [9] strong,investment [8] wednesday,27 [8] 27,october [8] thriving,#startup [8] #startup,scene Top Word Pairs in Tweet in G6:
[9] travel,tech [5] #travel,#traveltech [5] santalucía,impulsa [3] travel,forward [3] #nishatilashes,#energy [3] #businesstravel,#traveltech [3] buat,sobat [3] impulsa,convoca [3] edición,centrada [3] centrada,traveltech Top Word Pairs in Tweet in G7:
[19] santalucia_imp,convoca [19] convoca,5ª [14] santalucía,impulsa [14] traveltech,decesos [12] 5ª,edición [11] #traveltech,#decesos2 [10] edición,centrada [10] #actualidad,santalucia_imp [10] 5ª,#edición [10] #edición,centrada Top Word Pairs in Tweet in G8:
[15] 4m,series [15] series,round [13] thrilled,part [13] part,airalocom's [13] airalocom's,4m [13] round,alongside [13] alongside,sequoia [13] sequoia,rakutengroup [13] rakutengroup,antlerglobal [12] wayrauk,thrilled Top Word Pairs in Tweet in G9:
[50] #video,#stockphotos [50] #stockphotos,#100daysofcode [50] #100daysofcode,#design [50] #design,#uiux [50] #uiux,#url [50] #100daysofcode,#martech [50] #martech,#webdevelopment [48] #url,#graphicdesign [48] #graphicdesign,#100daysofcode [47] #webdevelopment,#qrcode Top Word Pairs in Tweet in G10:
[10] atout_france,#traveltech [8] #traveltech,atout_france [8] atout_france,welcomecitylab [8] welcomecitylab,donnent [8] donnent,parole [8] parole,aux [8] aux,lauréats [8] lauréats,challenge [8] challenge,#tourismeinnov2021 [5] #traveltech,déjà Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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: