The graph represents a network of 501 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, 26 March 2020 at 01:21 UTC.
The requested start date was Thursday, 26 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 17-hour, 28-minute period from Thursday, 12 March 2020 at 00:40 UTC to Wednesday, 25 March 2020 at 18:08 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 : 501
Unique Edges : 630
Edges With Duplicates : 1510
Total Edges : 2140
Number of Edge Types : 4
Mentions : 274
MentionsInRetweet : 1438
Tweet : 399
Replies to : 29
Self-Loops : 399
Reciprocated Vertex Pair Ratio : 0.0264797507788162
Reciprocated Edge Ratio : 0.0515933232169954
Connected Components : 104
Single-Vertex Connected Components : 55
Maximum Vertices in a Connected Component : 113
Maximum Edges in a Connected Component : 1241
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.819129
Graph Density : 0.00263073852295409
Modularity : 0.311439
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 501 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, 26 March 2020 at 01:21 UTC.
The requested start date was Thursday, 26 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 17-hour, 28-minute period from Thursday, 12 March 2020 at 00:40 UTC to Wednesday, 25 March 2020 at 18:08 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:
[1032] #startup,#traveltech [948] #traveltech,#socialnetworks [883] antibooking,#startup [286] #bigdata,#intelligentassistant [259] #socialnetworks,#bigdata [100] #socialnetworks,#vc [99] #vc,#angelinvesting [99] #angelinvesting,#innovation [96] #innovation,#businessangels [95] trip,planner Top Word Pairs in Tweet in G1:
[35] ty,cheddargadgets [35] cheddargadgets,enricomolinari [35] enricomolinari,#smarthome [35] #smarthome,#traveltech [30] pop,tent [30] tent,top [30] top,#car [30] #car,ty [30] #traveltech,#innovation [29] enricomolinari,pop Top Word Pairs in Tweet in G2:
[15] 旅行,traveltech [15] traveltech,トラベルテック [15] トラベルテック,領域のit企業 [3] more,important [3] visa,restrictions [3] restrictions,travel [3] travel,bans [2] within,travel [2] travel,industry [2] bans,traveltech Top Word Pairs in Tweet in G3:
[21] yespropf,airbnb [18] airbnb,airbnbcitizen [17] traveltech,goldwaterinst [17] goldwaterinst,vrmaadvocacy [16] airbnbcitizen,traveltech [13] traveltech,yespropf [12] cnulty,yespropf [11] vrmaadvocacy,share_better [9] share_better,airbnbwatch [7] mamalla57855636,cnulty Top Word Pairs in Tweet in G4:
[35] thread,top [35] top,down [35] down,view [35] view,travel [35] travel,india [35] india,revenue [35] revenue,pools [35] pools,margin [35] margin,pools [35] pools,high Top Word Pairs in Tweet in G5:
[18] hotel,travel [18] travel,technology [18] technology,content [18] content,enjoy [18] enjoy,thoughts [18] thoughts,put [18] put,week [18] week,sign [18] sign,below [11] below,first Top Word Pairs in Tweet in G6:
[26] #travel,#traveltech [12] surfnsunshine,travelesquire [9] plane,land [9] land,itself [9] itself,#travel [9] #traveltech,#aviation [9] #aviation,#autonomousvehicles [8] travelesquire,plane [8] #autonomousvehicles,#aviationlovers [8] #aviationlovers,#pilotsoftwitter Top Word Pairs in Tweet in G7:
[1021] #startup,#traveltech [937] #traveltech,#socialnetworks [872] antibooking,#startup [275] #bigdata,#intelligentassistant [249] #socialnetworks,#bigdata [98] #socialnetworks,#vc [97] #vc,#angelinvesting [97] #angelinvesting,#innovation [94] #innovation,#businessangels [94] trip,planner Top Word Pairs in Tweet in G8:
[7] blade,uses [7] uses,electrostatic [7] electrostatic,technology [7] technology,disinfect [7] disinfect,planes [7] planes,operators [7] gt,gt [6] byjennparker,blade [6] operators,same [6] frequency,capacity Top Word Pairs in Tweet in G9:
[4] thank,uzakrota [4] uzakrota,organizers [4] organizers,inviting [4] inviting,georgedumitru_ [4] georgedumitru_,stage [4] stage,address [4] address,crowd [4] crowd,share [4] skift,webinar [3] ceo,hiltym Top Word Pairs in Tweet in G10:
[5] bienvenido,bordo [5] bordo,nave [5] nave,#innovarock [5] #innovarock,tripulante [5] tripulante,carlos_scheuch [5] carlos_scheuch,especialista [5] especialista,#traveltech [5] #traveltech,cc [5] cc,beaturistica [4] leomeyer,bienvenido Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G9:
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:
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: