The graph represents a network of 452 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, 13 October 2022 at 01:37 UTC.
The requested start date was Thursday, 13 October 2022 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, 23-hour, 14-minute period from Thursday, 29 September 2022 at 00:01 UTC to Wednesday, 12 October 2022 at 23:15 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 : 452
Unique Edges : 295
Edges With Duplicates : 7856
Total Edges : 8151
Number of Edge Types : 5
Tweet : 313
Retweet : 3057
MentionsInRetweet : 1647
Mentions : 3117
Replies to : 17
Self-Loops : 1957
Reciprocated Vertex Pair Ratio : 0.0341880341880342
Reciprocated Edge Ratio : 0.0661157024793388
Connected Components : 109
Single-Vertex Connected Components : 67
Maximum Vertices in a Connected Component : 200
Maximum Edges in a Connected Component : 7680
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.692512
Graph Density : 0.00237427153032592
Modularity : 0.061672
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 452 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, 13 October 2022 at 01:37 UTC.
The requested start date was Thursday, 13 October 2022 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, 23-hour, 14-minute period from Thursday, 29 September 2022 at 00:01 UTC to Wednesday, 12 October 2022 at 23:15 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 Entire Graph:
[3931] #datascientist,#csuite [3928] #csuite,#digitalhealth [3928] #cx,#ehealth [3925] #ehealth,#finserv [3922] #healthtech,#datascientist [3866] #finserv,#cloud [3065] #digitalhealth,#web3 [3065] #web3,#cx [2830] #cloud,#insurtech [1879] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[3924] #datascientist,#csuite [3921] #cx,#ehealth [3921] #csuite,#digitalhealth [3919] #ehealth,#finserv [3915] #healthtech,#datascientist [3860] #finserv,#cloud [3062] #digitalhealth,#web3 [3062] #web3,#cx [2827] #cloud,#insurtech [1876] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[20] рынка,россии [20] карта,traveltech [20] traveltech,рынка [4] svp,online [4] favorite,apps [4] travel,jobs [4] reveals,favorite [4] #travelmanagement,#managedtravel [4] tech,indianapolis [4] apps,travelers Top Word Pairs in Tweet in G3:
[6] traveltech,start [6] acquires,traveltech [6] nezasa,acquires [5] travel,tech [4] customer,facing [4] one,customer [4] tech,night [4] company,amadeusitgroup [4] latin,american [4] spain,based Top Word Pairs in Tweet in G4:
[30] takes,look [30] worldwide,sales [30] journey,green [30] look,journey [30] aluenterprise,takes [30] sales,director [30] transportation,aluenterprise [30] roch,muraine [30] muraine,worldwide [30] director,transportation Top Word Pairs in Tweet in G5:
[3] #ehealth,#finserv [3] #datascientist,#csuite [3] #healthtech,#datascientist [3] #finserv,#cloud [3] #cx,#ehealth [3] #csuite,#digitalhealth [2] messages,sand [2] intengineering,enricomolinari [2] chidambara09,#healthtech [2] #women,#usa Top Word Pairs in Tweet in G6:
[7] #traveltech,#fintech [5] #insurtech,#traveltech [5] meet,events [4] #women,#usa [4] #fintech,insurednomads [4] loving,meet [4] during,nyctechweek [4] insurednomads,#traveltech [4] force,nyctechweek [4] andrewjernigan,minwoochrisnam Top Word Pairs in Tweet in G7:
[10] alleviating,impact [10] r2,dinner [10] dinner,role [8] #hospitality,sector [7] #staff,#shortages [7] role,#tech [7] #tech,alleviating [7] impact,#staff [7] sector,happy [7] #shortages,#hospitality Top Word Pairs in Tweet in G8:
[6] tech,nation [5] achalkio,selected [5] #travel,tech [5] fellow,#travel [5] thrilled,announce [5] ceo,co [5] co,founder [5] selected,fellow [5] announce,ceo [5] founder,achalkio Top Word Pairs in Tweet in G9:
[26] pay,12 [26] interest,free [26] 12,interest [26] free,installments [19] sale,pay [17] name,sale [17] domain,name [8] installments,arrange [8] installments,#dutyfree [8] #digitaldutyfree,#ecom Top Word Pairs in Tweet in G10:
[14] ø,ù [13] ø,ø [10] ù,ø [8] #hospitalitytech,#exploretech [8] #traveltech,#hospitalitytech [5] #hospitalitytech,#traveltech [3] #traveltech,#exploretech [3] ø,øª [3] øª,ø [2] øªø,ø Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 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: