The graph represents a network of 554 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, 02 April 2020 at 01:45 UTC.
The requested start date was Thursday, 02 April 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, 8-hour, 46-minute period from Thursday, 19 March 2020 at 00:13 UTC to Wednesday, 01 April 2020 at 09:00 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 : 554
Unique Edges : 683
Edges With Duplicates : 1127
Total Edges : 1810
Number of Edge Types : 4
Mentions : 357
MentionsInRetweet : 1075
Tweet : 307
Replies to : 71
Self-Loops : 307
Reciprocated Vertex Pair Ratio : 0.0468085106382979
Reciprocated Edge Ratio : 0.0894308943089431
Connected Components : 75
Single-Vertex Connected Components : 33
Maximum Vertices in a Connected Component : 179
Maximum Edges in a Connected Component : 719
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.641133
Graph Density : 0.00240891494375934
Modularity : 0.380765
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 554 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, 02 April 2020 at 01:45 UTC.
The requested start date was Thursday, 02 April 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, 8-hour, 46-minute period from Thursday, 19 March 2020 at 00:13 UTC to Wednesday, 01 April 2020 at 09:00 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:
[713] #startup,#traveltech [656] #traveltech,#socialnetworks [584] antibooking,#startup [71] #socialnetworks,#vc [71] #vc,#angelinvesting [71] #angelinvesting,#innovation [71] #innovation,#businessangels [71] #businessangels,#angelinvestor [71] #angelinvestor,information [71] trip,planner Top Word Pairs in Tweet in G1:
[41] #trovo,#traveltech [40] #rejoy,#trovo [37] #guess,#comment [36] #comment,#rejoy [36] #contestalert,#guess [35] #traveltech,#cooltechgadgets [34] baaghi,#contestalert [33] #contestalert,song [33] song,lover [33] lover,prove Top Word Pairs in Tweet in G2:
[22] proud,ranked [22] global,#fashiontech [22] #fashiontech,#influencer [22] #influencer,great [22] great,colleagues [17] #luxury,hotel [17] hotel,set [17] set,rise [17] rise,sydney [17] sydney,skyline Top Word Pairs in Tweet in G3:
[38] thread,top [38] top,down [38] down,view [38] view,travel [38] travel,india [38] india,revenue [38] revenue,pools [38] pools,margin [38] margin,pools [38] pools,high Top Word Pairs in Tweet in G4:
[8] #contestalert,#guess [8] #trovo,#traveltech [8] #traveltech,#cooltechgadgets [7] #guess,#comment [7] #comment,#rejoy [7] #rejoy,#trovo [7] #cooltechgadgets,#valueformoney [6] 10,bahne [6] baaghi,#contestalert [6] #valueformoney,#speaker Top Word Pairs in Tweet in G5:
[9] 旅行,traveltech [9] traveltech,トラベルテック [9] トラベルテック,領域のit企業 [5] #travel,#traveltech [5] interested,work [5] work,#funneltv [5] #funneltv,read [5] read,first [5] first,series [5] series,enzo Top Word Pairs in Tweet in G6:
[10] corporate,travel [9] travel,pitch [8] pitch,night [8] live,webinar [6] timeshifterapp,app [6] ctpn,webinar [5] congratulations,trooptravel [5] trooptravel,winning [5] winning,today's [5] today's,corporate Top Word Pairs in Tweet in G7:
[18] airbnb,airbnbcitizen [17] traveltech,goldwaterinst [17] goldwaterinst,vrmaadvocacy [16] airbnbcitizen,traveltech [16] yespropf,airbnb [13] traveltech,yespropf [12] cnulty,yespropf [11] vrmaadvocacy,share_better [9] share_better,airbnbwatch [7] mamalla57855636,cnulty 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 [6] byjennparker,blade [6] operators,same [5] latest,network [5] network,outsource Top Word Pairs in Tweet in G9:
[18] #travel,#traveltech [16] impakterdotcom,meet [12] ale_dubesse,electric [12] electric,seaplane [12] seaplane,impakterdotcom [12] meet,equatoraircraft [12] equatoraircraft,norway [12] norway,#travel [11] #traveltech,#electricvehi [5] #traveltech,#electricvehicles Top Word Pairs in Tweet in G10:
[4] boutiq's,#ceo [4] #ceo,renastake [4] renastake,#published [4] #published,#essay [4] #essay,skift [4] skift,discusses [4] discusses,being [4] being,#pregnant [4] #pregnant,running [4] running,#travel Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
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 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: