The graph represents a network of 700 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, 30 September 2021 at 01:52 UTC.
The requested start date was Thursday, 30 September 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, 18-hour, 31-minute period from Thursday, 16 September 2021 at 00:36 UTC to Wednesday, 29 September 2021 at 19:08 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 : 700
Unique Edges : 496
Edges With Duplicates : 1359
Total Edges : 1855
Number of Edge Types : 5
Mentions : 400
Retweet : 509
MentionsInRetweet : 751
Tweet : 185
Replies to : 10
Self-Loops : 192
Reciprocated Vertex Pair Ratio : 0.0439306358381503
Reciprocated Edge Ratio : 0.0841638981173865
Connected Components : 98
Single-Vertex Connected Components : 46
Maximum Vertices in a Connected Component : 464
Maximum Edges in a Connected Component : 1453
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.143877
Graph Density : 0.00184549356223176
Modularity : 0.442907
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 700 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, 30 September 2021 at 01:52 UTC.
The requested start date was Thursday, 30 September 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, 18-hour, 31-minute period from Thursday, 16 September 2021 at 00:36 UTC to Wednesday, 29 September 2021 at 19:08 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:
[132] travelport,accelerator [131] accelerator,powered [131] powered,aws [131] aws,live [131] live,help [131] help,travel [131] travel,companies [131] companies,personalized [131] personalized,digital [131] digital,marketing Top Word Pairs in Tweet in G1:
[131] travelport,accelerator [130] accelerator,powered [130] powered,aws [130] aws,live [130] live,help [130] help,travel [130] travel,companies [130] companies,personalized [130] personalized,digital [130] digital,marketing Top Word Pairs in Tweet in G2:
[33] enricomolinari,#ehealth [24] amazon,forest [24] forest,needs [24] needs,reasons [24] #fashiontech,#traveltech [23] enricomolinari,amazon [22] #esg,#sdgs [21] #fintech,#finserv [21] reasons,enricomolinari [20] enricomolinari,#climatechange Top Word Pairs in Tweet in G3:
[10] #businesstravel,#traveltech [10] #traveltech,#elementtech [9] #traveltech,#blockchain [8] enricomolinari,#traveltech [8] #traveltech,#influencer [8] #influencer,ty [8] ty,1st [8] 1st,place [8] place,nodexl [8] nodexl,enricomolinari Top Word Pairs in Tweet in G4:
[8] traveltech,show [7] summer,over [7] over,customers [7] customers,burned [7] burned,loyalty [7] loyalty,points [7] points,happens [7] happens,understanding [7] understanding,consumer [7] consumer,true Top Word Pairs in Tweet in G5:
[3] travel,tech [3] learn,more [2] business,travelers [2] #worldtourismday,join [2] join,unwto [2] unwto,celebrating [2] celebrating,tourism [2] tourism,driver [2] driver,inclusive [2] inclusive,growth Top Word Pairs in Tweet in G6:
[17] 10,30am [14] data,better [13] wed,27 [13] 27,oct [13] oct,10 [12] effinidata,wildernesssense [12] traveltech,scotland [12] scotland,tourism [12] tourism,sector [12] sector,transformed Top Word Pairs in Tweet in G7:
[21] #video,#stockphotos [21] #stockphotos,#100daysofcode [21] #100daysofcode,#design [21] #design,#uiux [21] #uiux,#url [21] #url,#graphicdesign [21] #graphicdesign,#100daysofcode [21] #100daysofcode,#martech [21] #martech,#webdevelopment [21] #webdevelopment,#qrcode Top Word Pairs in Tweet in G8:
[9] zo,world [9] startup,working [9] working,create [9] create,decentralised [9] decentralised,travel [9] travel,marketplace [9] marketplace,launched [8] launched,quest [8] quest,style [6] style,pl Top Word Pairs in Tweet in G9:
[6] pilots,land [6] land,planes [6] planes,sideways [6] sideways,lot [6] lot,wind [6] wind,#travel [6] #travel,#planes [6] #planes,#pilots [6] #travel,#traveltech [5] travelesquire,pilots Top Word Pairs in Tweet in G10:
[7] #eddytravels,#ai [7] #ai,#assistant [7] eddytravels,ai [7] ai,assistant [5] #assistant,#travel [5] #ltstartups,eddytravels [5] eddytravels,#ai [5] #ai,assistant [5] assistant,support [5] support,global Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G10:
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:
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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: