The graph represents a network of 572 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 October 2021 at 01:52 UTC.
The requested start date was Thursday, 07 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, 11-hour, 33-minute period from Thursday, 23 September 2021 at 01:15 UTC to Wednesday, 06 October 2021 at 12:48 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 : 572
Unique Edges : 525
Edges With Duplicates : 1188
Total Edges : 1713
Number of Edge Types : 5
Retweet : 422
MentionsInRetweet : 741
Mentions : 366
Tweet : 175
Replies to : 9
Self-Loops : 182
Reciprocated Vertex Pair Ratio : 0.0640204865556978
Reciprocated Edge Ratio : 0.120336943441637
Connected Components : 93
Single-Vertex Connected Components : 46
Maximum Vertices in a Connected Component : 349
Maximum Edges in a Connected Component : 1313
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.468647
Graph Density : 0.0025443033323944
Modularity : 0.4324
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 572 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 October 2021 at 01:52 UTC.
The requested start date was Thursday, 07 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, 11-hour, 33-minute period from Thursday, 23 September 2021 at 01:15 UTC to Wednesday, 06 October 2021 at 12:48 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:
[63] enricomolinari,#ehealth [45] amazon,forest [45] forest,needs [45] needs,reasons [43] #report,elon [43] elon,musk [43] musk,global [43] vision,taking [43] taking,shape [43] enricomolinari,amazon Top Word Pairs in Tweet in G1:
[63] enricomolinari,#ehealth [45] amazon,forest [45] forest,needs [45] needs,reasons [43] #report,elon [43] elon,musk [43] musk,global [43] vision,taking [43] taking,shape [43] enricomolinari,amazon Top Word Pairs in Tweet in G2:
[6] #traveltech,#travosummit [6] platform,best [5] forest,question [5] question,decentralised [5] decentralised,market [5] market,place [5] place,emerging [5] emerging,#travel [5] #travel,sector [5] sector,#blockchain Top Word Pairs in Tweet in G3:
[13] summer,over [13] over,customers [13] customers,burned [13] burned,loyalty [13] loyalty,points [13] points,happens [13] happens,understanding [11] understanding,consumer [11] consumer,true [11] true,personalization Top Word Pairs in Tweet in G4:
[4] learn,more [4] k_rellihan,nataliabayona [2] travel,tech [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 G5:
[24] atout_france,#traveltech [17] cahier,tendances [16] présentation,cahier [10] #traveltech,avant [10] avant,iftmparis [10] iftmparis,attendons [10] attendons,nombreux [10] nombreux,présentation [8] d',atout_france [8] journalistes,partenaires Top Word Pairs in Tweet in G6:
[15] data,better [13] join,traveltechscot [13] traveltechscot,wednesday [13] wednesday,27 [13] 27,october [13] better,tourism [13] tourism,thelistmagazine [11] effinidata,wildernesssense [10] thelistmagazine,effinidata [9] semi,finals Top Word Pairs in Tweet in G7:
[22] travelport,accelerator [21] accelerator,powered [21] powered,aws [21] aws,live [21] live,help [21] help,travel [21] travel,companies [21] companies,personalized [21] personalized,digital [21] digital,marketing 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 [5] #pilots,#traveltech [5] travelesquire,pilots Top Word Pairs in Tweet in G10:
[19] #video,#stockphotos [19] #stockphotos,#100daysofcode [19] #100daysofcode,#design [19] #design,#uiux [19] #uiux,#url [19] #url,#graphicdesign [19] #graphicdesign,#100daysofcode [19] #100daysofcode,#martech [19] #martech,#webdevelopment [19] #webdevelopment,#qrcode Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G8:
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:
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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: