The graph represents a network of 586 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, 04 June 2020 at 01:48 UTC.
The requested start date was Thursday, 04 June 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 12-day, 20-hour, 31-minute period from Thursday, 21 May 2020 at 04:43 UTC to Wednesday, 03 June 2020 at 01:15 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 : 586
Unique Edges : 680
Edges With Duplicates : 1109
Total Edges : 1789
Number of Edge Types : 5
Retweet : 452
MentionsInRetweet : 853
Mentions : 327
Tweet : 149
Replies to : 8
Self-Loops : 162
Reciprocated Vertex Pair Ratio : 0.0324324324324324
Reciprocated Edge Ratio : 0.06282722513089
Connected Components : 89
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 295
Maximum Edges in a Connected Component : 1266
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.758264
Graph Density : 0.00278579971412736
Modularity : 0.4322
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 586 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, 04 June 2020 at 01:48 UTC.
The requested start date was Thursday, 04 June 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 12-day, 20-hour, 31-minute period from Thursday, 21 May 2020 at 04:43 UTC to Wednesday, 03 June 2020 at 01:15 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 G2:
[62] #hoteltechnology,#traveltech [62] #traveltech,#hoteltechnology [38] love,#hoteltech [38] #hoteltech,content [38] content,create [38] create,first [38] first,know [38] know,join [36] join,mailing [21] mailing,list Top Word Pairs in Tweet in G3:
[7] support,travel [6] travel,industry [5] thanks,founding [5] founding,founder [5] founder,institute [5] institute,having [5] having,guest [5] guest,contributor [5] contributor,future [5] future,travel Top Word Pairs in Tweet in G4:
[10] strategies,engaging [8] engaging,entirely [6] entirely,#mobile [6] #mobile,workforce [6] workforce,#cios [6] #cios,offer [6] offer,advice [6] advice,#cio [6] #cio,#cto [6] #cto,#ciso Top Word Pairs in Tweet in G5:
[27] short,term [27] social,distancing [27] term,rentals [27] working,hard [27] travel,industry [27] recovery,program [27] travelers,looking [22] looking,before [22] before,making [22] making,plans Top Word Pairs in Tweet in G6:
[3] enricomolinari,intengineering [3] intengineering,worldtrendsinfo [2] worldtrendsinfo,jeroenbartelse [2] jeroenbartelse,drsharwood [2] drsharwood,wiprodigital [2] wiprodigital,ms1mn [2] ms1mn,intellimetri [2] chidambara09,enricomolinari [2] intellimetri,vanivina [2] sleek,platform Top Word Pairs in Tweet in G7:
[17] uk,based [17] based,#traveltech [17] #traveltech,#fintech [17] #fintech,startup [17] startup,fnpluk [17] fnpluk,snapped [17] snapped,39 [16] 39,million [16] million,series [3] series,funding Top Word Pairs in Tweet in G8:
[2] #startup,#traveltech [2] #traveltech,#socialnetworks [2] antibooking,#startup [2] #socialnetworks,#vc [2] #vc,#angelinvesting [2] #angelinvesting,#innovation [2] travel,market [2] future,travel [2] #innovation,#businessangels [2] #businessangels,#angelinvestor Top Word Pairs in Tweet in G9:
[151] resist,#smarthome [151] #smarthome,made [108] made,chocolate [28] chocolate,without [28] without,eating [28] eating,#efood [24] #efood,#ir4 [20] #ir4,#art [18] #art,#traveltech [18] #traveltech,#retailtech Top Word Pairs in Tweet in G10:
[11] founders,factory [11] factory,alumni [11] alumni,zipabouthq [11] zipabouthq,behind [11] behind,passenger [11] passenger,connect [11] connect,personalised [11] personalised,information [11] information,service [11] service,help Top Replied-To in Entire Graph:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: