The graph represents a network of 505 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, 29 July 2021 at 01:53 UTC.
The requested start date was Thursday, 29 July 2021 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, 21-hour, 46-minute period from Thursday, 15 July 2021 at 00:07 UTC to Wednesday, 28 July 2021 at 21:54 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 : 505
Unique Edges : 533
Edges With Duplicates : 1287
Total Edges : 1820
Number of Edge Types : 5
Retweet : 449
Tweet : 188
MentionsInRetweet : 866
Mentions : 307
Replies to : 10
Self-Loops : 192
Reciprocated Vertex Pair Ratio : 0.0348692403486924
Reciprocated Edge Ratio : 0.0673886883273165
Connected Components : 89
Single-Vertex Connected Components : 59
Maximum Vertices in a Connected Component : 361
Maximum Edges in a Connected Component : 1609
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.521478
Graph Density : 0.00326496935407826
Modularity : 0.397974
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 505 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, 29 July 2021 at 01:53 UTC.
The requested start date was Thursday, 29 July 2021 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, 21-hour, 46-minute period from Thursday, 15 July 2021 at 00:07 UTC to Wednesday, 28 July 2021 at 21:54 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:
[96] wef,enricomolinari [36] cheddar,enricomolinari [35] learn,more [33] more,teamquibble [33] teamquibble,#vacationrental [33] #vacationrental,#machinelearning [33] #machinelearning,#5g [33] mashable,enricomolinari [32] grpecunia,learn [32] #5g,#datascienc Top Word Pairs in Tweet in G1:
[89] wef,enricomolinari [33] cheddar,enricomolinari [32] mashable,enricomolinari [26] enricomolinari,#traveltech [24] feel,good [24] good,work [24] work,joyous [24] joyous,glide [24] glide,water [23] water,startupselfieco Top Word Pairs in Tweet in G2:
[32] learn,more [32] more,teamquibble [32] teamquibble,#vacationrental [32] #vacationrental,#machinelearning [32] #machinelearning,#5g [31] grpecunia,learn [31] #5g,#datascienc [17] #businesstravel,#corporatetravel [17] #corporatetravel,#traveltech [11] researchers,hid Top Word Pairs in Tweet in G3:
[18] travel,apps [18] apps,know [18] know,comments [18] comments,others [18] others,appreciate [18] appreciate,recommendation [18] recommendation,well [18] well,#traveltech [18] #traveltech,#travelapps [18] #travelapps,#traveler Top Word Pairs in Tweet in G4:
[13] airbus,unveiled [13] unveiled,#netzero [13] #netzero,concept [13] concept,mt [13] mt,susanstellflue [13] susanstellflue,steube [12] travelesquire,airbus [12] steube,sebbourguignon [11] surfnsunshine,travelesquire [10] future,aviation Top Word Pairs in Tweet in G5:
[9] #blockchain,#traveltech [7] join,israel [7] israel,traveltech [7] traveltech,event [7] event,3rd [7] 3rd,august [7] august,cro [7] cro,nir [7] nir,dupler [7] dupler,joins Top Word Pairs in Tweet in G6:
[7] govchrissununu,veto [7] veto,#hb15 [6] southwest,knows [6] knows,travelport [6] travelport,means [6] means,business [6] business,find [6] find,more [6] more,travelport [5] time,impose Top Word Pairs in Tweet in G7:
[7] #techcareer,#traveltech [7] #traveltech,#appdevelopers [7] #digitalexperience,#sitecore [6] #businessintelligence,#dataengineering [6] #hiring,#techhiring [6] #talentacquisition,#careers [6] #careers,#techcareer [5] #hiringpost,#jobpost [5] #jobpost,#techrecruitment [5] #datascience,#digitalexperience Top Word Pairs in Tweet in G8:
[4] #appointmentalert,amrish [4] amrish,kumar [4] kumar,joins [4] joins,ixigo [4] ixigo,vice [4] vice,president [4] president,#technology [4] #technology,ixigo [4] ixigo,read [4] read,more Top Word Pairs in Tweet in G9:
[4] traveltech,business [3] london,based [3] based,traveltech [3] announced,partnership [3] partnership,one [3] one,europe [3] europe,largest [3] largest,budget [2] business,duffelhq [2] duffelhq,announced Top Word Pairs in Tweet in G10:
[2] auge,traveltech [2] traveltech,covid Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
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:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: