The graph represents a network of 526 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, 21 April 2022 at 02:12 UTC.
The requested start date was Thursday, 21 April 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, 8-hour, 35-minute period from Thursday, 07 April 2022 at 05:27 UTC to Wednesday, 20 April 2022 at 14:03 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 : 526
Unique Edges : 354
Edges With Duplicates : 9951
Total Edges : 10305
Number of Edge Types : 5
Retweet : 3994
MentionsInRetweet : 2818
Tweet : 222
Mentions : 3258
Replies to : 13
Self-Loops : 1813
Reciprocated Vertex Pair Ratio : 0.0513595166163142
Reciprocated Edge Ratio : 0.0977011494252874
Connected Components : 92
Single-Vertex Connected Components : 49
Maximum Vertices in a Connected Component : 296
Maximum Edges in a Connected Component : 9878
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.799176
Graph Density : 0.00252036936447583
Modularity : 0.058585
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 526 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, 21 April 2022 at 02:12 UTC.
The requested start date was Thursday, 21 April 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, 8-hour, 35-minute period from Thursday, 07 April 2022 at 05:27 UTC to Wednesday, 20 April 2022 at 14:03 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:
[4723] #cx,#women [4717] #women,#ehealth [4639] #healthtech,#datascientist [4592] #ehealth,#ces2023 [3692] #ces2023,#finserv [3250] #digitalhealth,#cloud [3249] #cloud,#cx [3023] chidambara09,#healthtech [2772] #datascientist,#iot [2767] #ai,#digitalhealth Top Word Pairs in Tweet in G1:
[3476] #cx,#women [3474] #women,#ehealth [3397] #healthtech,#datascientist [3380] #ehealth,#ces2023 [2790] #ces2023,#finserv [2329] #digitalhealth,#cloud [2327] #cloud,#cx [2015] #datascientist,#iot [2011] #ai,#digitalhealth [1990] #iot,#ai Top Word Pairs in Tweet in G2:
[433] #cx,#women [431] #healthtech,#datascientist [429] #women,#ehealth [416] #ehealth,#ces2023 [396] chidambara09,#healthtech [324] #digitalhealth,#cloud [324] #cloud,#cx [313] #ces2023,#finserv [276] #ai,#digitalhealth [272] #datascientist,#iot Top Word Pairs in Tweet in G3:
[796] #cx,#women [796] #women,#ehealth [792] #healthtech,#datascientist [777] #ehealth,#ces2023 [759] chidambara09,#healthtech [579] #cloud,#cx [578] #digitalhealth,#cloud [571] #ces2023,#finserv [467] #datascientist,#iot [462] #ai,#digitalhealth Top Word Pairs in Tweet in G4:
[5] #innovation,#traveltech [4] #travel,#traveltech [3] find,more [3] #itjobopportunity,#developers [3] #developers,#developerjobs [3] #developerjobs,#softwaredeveloper [3] #softwaredeveloper,#technology [3] #technology,#innovation [3] #tech,#digital [3] #digital,#digitalera Top Word Pairs in Tweet in G5:
[29] guysss,ready [29] ready,japa [29] japa,money [29] money,complete [29] complete,show [29] show,make [29] make,money [29] money,happen [29] happen,joining [28] dlaureate,guysss Top Word Pairs in Tweet in G6:
[12] travel,tech [9] travel,industry [8] research,phocuswright [8] phocuswright,shows [6] tech,eutraveltech [6] eutraveltech,released [6] released,research [6] shows,travel [6] industry,innovators [6] innovators,bring Top Word Pairs in Tweet in G7:
[8] growth,insurednomads [7] excited,those [7] those,investing [7] investing,growth [7] insurednomads,thankful [7] thankful,members [7] members,those [7] those,make [6] andrewjernigan,excited [6] make,hap Top Word Pairs in Tweet in G8:
[7] article,america [7] america,kevin [7] kevin,jennings [7] lead,aluenterprise [7] aluenterprise,discusses [7] discusses,benefits [6] jennings,transportation [6] transportation,lead [6] benefits,challenges [6] challenges,opportunities Top Word Pairs in Tweet in G9:
[3] way,#manila [3] #manila,attending [3] attending,#gsphilippines [3] #gsphilippines,excited [3] excited,catch [3] catch,again [3] again,main [3] main,travel [3] travel,tourism [3] tourism,players Top Word Pairs in Tweet in G10:
[6] nosaltres,ens [6] ens,prenem [6] prenem,seriosament [6] seriosament,canvi [6] canvi,model [6] model,turístic [6] turístic,però [6] però,veritable [6] veritable,canvi [6] canvi,venir Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
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: