The graph represents a network of 651 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, 16 September 2021 at 01:52 UTC.
The requested start date was Thursday, 16 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, 22-hour, 5-minute period from Thursday, 02 September 2021 at 01:15 UTC to Wednesday, 15 September 2021 at 23:20 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 : 651
Unique Edges : 758
Edges With Duplicates : 1682
Total Edges : 2440
Number of Edge Types : 5
Tweet : 196
Retweet : 576
MentionsInRetweet : 1128
Mentions : 515
Replies to : 25
Self-Loops : 204
Reciprocated Vertex Pair Ratio : 0.0537918871252205
Reciprocated Edge Ratio : 0.102092050209205
Connected Components : 87
Single-Vertex Connected Components : 47
Maximum Vertices in a Connected Component : 474
Maximum Edges in a Connected Component : 2174
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.543547
Graph Density : 0.00282405766276734
Modularity : 0.391076
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 651 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, 16 September 2021 at 01:52 UTC.
The requested start date was Thursday, 16 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, 22-hour, 5-minute period from Thursday, 02 September 2021 at 01:15 UTC to Wednesday, 15 September 2021 at 23:20 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] learn,more [113] teamquibble,#vacationrental [112] more,teamquibble [89] #vacationrental,#traveltech [89] #traveltech,#rm [89] #rm,#str [87] enricomolinari,#traveltech [64] teamquibble,learn [64] #str,#m [54] mashable,enricomolinari Top Word Pairs in Tweet in G1:
[82] enricomolinari,#traveltech [49] mashable,enricomolinari [40] #traveltech,#fashiontech [37] wef,enricomolinari [27] travelling,depths [27] depths,ocean [27] ocean,low [27] low,price [27] price,million [27] million,mashable Top Word Pairs in Tweet in G2:
[24] traveltech,show [20] question,time [17] time,session [15] 14,15 [14] business,travel [13] traveltech_show,join [12] travel,technology [11] one,week [11] week,go [11] go,until Top Word Pairs in Tweet in G3:
[97] learn,more [96] more,teamquibble [96] teamquibble,#vacationrental [75] #vacationrental,#traveltech [75] #traveltech,#rm [75] #rm,#str [53] teamquibble,learn [53] #str,#m [28] #100daysofcode,#design [28] #design,#uiux Top Word Pairs in Tweet in G4:
[47] amphibious,bus [47] bus,cheddar [47] cheddar,#autonomousvehicles [47] #autonomousvehicles,#iot [47] #iot,#traveltech [45] cc,enricomolinari [45] enricomolinari,jblefevre60 [44] #traveltech,cc [43] ronald_vanloon,amphibious [33] jblefevre60,ym78200 Top Word Pairs in Tweet in G5:
[10] traveltech,show [10] ì,ì [7] travel,tech [4] #travel,#traveltech [4] ed,silver [4] ë,ì [3] stay,tuned [3] #amadeus,#traveltech [3] #traveltechnology,#cytric [3] #cytric,#travelmanagement Top Word Pairs in Tweet in G6:
[5] #traveltech,están [5] están,revolucionando [5] revolucionando,mercado [5] mercado,español [3] descubre,14 [3] 14,startups [3] startups,sector [3] sector,#traveltech [2] intelectium,descubre [2] español,oa Top Word Pairs in Tweet in G7:
[4] downloaded,secrettakeaways [4] secrettakeaways,edinburgh [4] edinburgh,urge [4] urge,well [4] well,delivery [4] delivery,platform [3] check,think [3] think,global [3] global,awards [3] awards,free Top Word Pairs in Tweet in G8:
[5] launches,sales [5] sales,platform [5] platform,tours [5] tours,activities [4] captainbookio,launches [3] activities,experiences [2] greek,#startup [2] #startup,captainbookio [2] activities,#tourism [2] #tourism,#travel Top Word Pairs in Tweet in G9:
[6] #inc42exclusive,zo [6] zo,world [6] world,travel [6] travel,startup [6] startup,building [6] building,decentralised [6] decentralised,travel [6] travel,marketplace [6] marketplace,launched [6] launched,quest Top Word Pairs in Tweet in G10:
[3] first,time [3] time,#spacex [3] #spacex,set [3] set,launch [3] launch,civilian [3] civilian,crew [3] crew,orbit [3] orbit,marking [3] marking,potential [3] potential,giant Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G7:
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:
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: