The graph represents a network of 567 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, 20 May 2021 at 01:51 UTC.
The requested start date was Thursday, 20 May 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 8-day, 11-hour, 49-minute period from Thursday, 06 May 2021 at 06:12 UTC to Friday, 14 May 2021 at 18:01 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 : 567
Unique Edges : 525
Edges With Duplicates : 1107
Total Edges : 1632
Number of Edge Types : 5
Retweet : 452
MentionsInRetweet : 812
Tweet : 117
Mentions : 243
Replies to : 8
Self-Loops : 130
Reciprocated Vertex Pair Ratio : 0.0584652862362972
Reciprocated Edge Ratio : 0.110471806674338
Connected Components : 92
Single-Vertex Connected Components : 46
Maximum Vertices in a Connected Component : 283
Maximum Edges in a Connected Component : 1125
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.837921
Graph Density : 0.0027078230847371
Modularity : 0.443764
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 567 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, 20 May 2021 at 01:51 UTC.
The requested start date was Thursday, 20 May 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 8-day, 11-hour, 49-minute period from Thursday, 06 May 2021 at 06:12 UTC to Friday, 14 May 2021 at 18:01 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:
[115] wef,enricomolinari [65] working,something [65] something,ll [65] ll,rest [65] rest,traveltech [65] traveltech,infrastructure [65] infrastructure,case [65] case,study [65] study,coming [64] akinboulex,working Top Word Pairs in Tweet in G1:
[110] wef,enricomolinari [61] fastest,plane [61] plane,exist [61] exist,techinsider [61] techinsider,enricomolinari [59] enricomolinari,fastest [57] enricomolinari,#renewables [55] #renewables,#traveltech [51] #traveltech,#fashi [39] enricomolinari,#ai Top Word Pairs in Tweet in G2:
[13] unite,against [11] thanks,dcoreofficial [10] enricomolinari,grpecunia [10] grpecunia,gigadgets_ [10] winding,tree [9] congrats,top [9] top,influencers [9] influencers,#traveltech [9] #traveltech,#nodexl [9] #nodexl,enricomolinari Top Word Pairs in Tweet in G3:
[65] working,something [65] something,ll [65] ll,rest [65] rest,traveltech [65] traveltech,infrastructure [65] infrastructure,case [65] case,study [65] study,coming [64] akinboulex,working Top Word Pairs in Tweet in G4:
[8] traveltech,startup [6] financials,traveltech [6] profit,recedes [6] recedes,92 [6] 92,revenue [6] revenue,inr [4] startup,rategain's [4] rategain's,profit [4] cliquez,ici [3] inr,106 Top Word Pairs in Tweet in G5:
[3] lawmakers,considering [3] short,term [3] #txlege,#leadright [3] #txlege,considering [3] looking,role [3] role,devops [3] devops,need [3] need,automation [3] automation,engineer [3] engineer,come Top Word Pairs in Tweet in G6:
[23] coincidentally,currently [15] rapid,#covidtesting [15] #covidtesting,vital [15] vital,keeping [15] keeping,life [15] life,moving [15] moving,#lockdown [15] #lockdown,coincidentally [14] jjdomains,rapid [14] currently,availab Top Word Pairs in Tweet in G7:
[13] #fpv,#drone [13] #drone,clips [13] clips,nomadiclocations [13] nomadiclocations,shicooks [13] shicooks,nicochan33 [13] nicochan33,heinzvhoenen [13] heinzvhoenen,frronconi [13] frronconi,lavaletteastrid [12] curieuxexplorer,#fpv [12] lavaletteastrid,sebbourguigno Top Word Pairs in Tweet in G8:
[8] antwerp,based [8] live,world [8] world,lands [8] lands,300k [8] 300k,pre [8] pre,seed [8] seed,funding [7] based,#traveltech [7] #traveltech,#startup [7] #startup,live Top Word Pairs in Tweet in G9:
[6] nueva,publicación [6] publicación,#comerciodigital [6] #comerciodigital,descubre [6] descubre,cómo [6] cómo,funcionan [6] funcionan,plataformas [6] plataformas,#traveltech [6] #traveltech,cuáles [6] cuáles,beneficios [5] intalbid,nueva Top Word Pairs in Tweet in G10:
[7] davant,d'inversors [7] d'inversors,primer [7] primer,nivell [6] tens,start [6] start,sector [6] sector,traveltech [6] traveltech,vols [6] vols,presentar [6] presentar,davant [6] nivell,proposa Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G6:
Top Replied-To in G8:
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: