The graph represents a network of 866 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, 11 February 2021 at 02:52 UTC.
The requested start date was Thursday, 11 February 2021 at 01:01 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, 21-hour, 47-minute period from Thursday, 28 January 2021 at 02:16 UTC to Thursday, 11 February 2021 at 00:03 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 : 866
Unique Edges : 1049
Edges With Duplicates : 2195
Total Edges : 3244
Number of Edge Types : 5
Retweet : 791
MentionsInRetweet : 1631
Tweet : 154
Mentions : 651
Replies to : 17
Self-Loops : 168
Reciprocated Vertex Pair Ratio : 0.0364550597108737
Reciprocated Edge Ratio : 0.0703456640388114
Connected Components : 114
Single-Vertex Connected Components : 65
Maximum Vertices in a Connected Component : 610
Maximum Edges in a Connected Component : 2829
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.812998
Graph Density : 0.00220133762298255
Modularity : 0.344755
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 866 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, 11 February 2021 at 02:52 UTC.
The requested start date was Thursday, 11 February 2021 at 01:01 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, 21-hour, 47-minute period from Thursday, 28 January 2021 at 02:16 UTC to Thursday, 11 February 2021 at 00:03 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:
[117] wef,enricomolinari [112] enricomolinari,#ev [106] intengineering,enricomolinari [82] #ev,#marketing [80] #insurtech,#proptech [69] gigadgets_,enricomolinari [64] #fintech,#insurtech [63] #travel,#traveltech [61] 1st,#electric [61] #electric,#flyingcar Top Word Pairs in Tweet in G1:
[70] intengineering,enricomolinari [51] enricomolinari,#ev [46] 1st,#electric [46] #electric,#flyingcar [46] #flyingcar,airport [46] airport,intengineering [34] #insurtech,#proptech [33] #ev,#marketing [30] #fintech,#insurtech [25] enricomolinari,#traveltech Top Word Pairs in Tweet in G2:
[85] wef,enricomolinari [35] enricomolinari,#smartcities [27] #insurtech,#proptech [27] enricomolinari,coffee [27] coffee,travels [27] travels,#supplychains [27] #supplychains,wef [26] #ai,#iot [26] enricomolinari,#engineering [26] #engineering,better Top Word Pairs in Tweet in G3:
[45] #travel,#traveltech [37] gigadgets_,enricomolinari [32] enricomolinari,#ev [30] enricomolinari,#ebike [30] #ev,#marketing [29] #ebike,spokes [29] spokes,hub [29] hub,gigadgets_ [29] #marketing,#smartcities [26] #smartcities,#eheal Top Word Pairs in Tweet in G4:
[13] #travel,#traveltech [10] traveltech,startup [10] startup,grew [8] ì,ì [7] one,traveltech [7] grew,sevenfold [6] sevenfold,pandemic [6] pandemic,started [6] acomodeo,helps [6] helps,companies Top Word Pairs in Tweet in G5:
[7] travel,industry [5] cwt's,brandon [5] brandon,balcom [5] digital,health [5] health,passports [4] travel,tech [4] #healthpassports,#traveltech [4] #traveltech,#innovation [3] interview,georgedumitru_ [3] georgedumitru_,leehayhurst Top Word Pairs in Tweet in G6:
[29] check,hottest [29] hottest,trends [29] trends,#traveltech [29] #traveltech,ces [29] ces,2021 [29] 2021,amazing [29] amazing,#innovation [29] #innovation,10adventures [29] 10adventures,normglasses [28] smarter_loans,check Top Word Pairs in Tweet in G7:
[17] #conference,innovation [17] innovation,tourisme [17] tourisme,neuf [17] par,atout_france [17] atout_france,21 [17] 21,janvier [17] janvier,retrouvez [16] neuf,proposée [16] proposée,par [16] retrouvez,replay Top Word Pairs in Tweet in G8:
[12] weekly,newsletter [12] newsletter,including [6] happy,friday [6] friday,folks [6] folks,weekly [6] including,news [6] news,events [6] events,opportunities [6] opportunities,articles [6] articles,weekly Top Word Pairs in Tweet in G9:
[9] enricomolinari,500 [9] 500,bison [9] bison,being [9] being,released [9] dakota,aid [9] aid,biodiversity [9] biodiversity,seeker [8] intengineering,enricomolinari [6] 1st,#electric [6] #electric,#flyingcar Top Word Pairs in Tweet in G10:
[7] tiqwa,help [6] building,traveltech [6] traveltech,africa [6] africa,world [6] world,tiqwa [6] tiqwa,enables [6] enables,company [6] company,developer [6] developer,add [6] add,flight Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
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: