The graph represents a network of 933 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, 28 January 2021 at 02:52 UTC.
The requested start date was Thursday, 28 January 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, 44-minute period from Thursday, 14 January 2021 at 01:11 UTC to Wednesday, 27 January 2021 at 22:56 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 : 933
Unique Edges : 1311
Edges With Duplicates : 2920
Total Edges : 4231
Number of Edge Types : 5
Replies to : 20
Mentions : 769
Tweet : 131
Retweet : 962
MentionsInRetweet : 2349
Self-Loops : 147
Reciprocated Vertex Pair Ratio : 0.0415860735009671
Reciprocated Edge Ratio : 0.0798514391829155
Connected Components : 78
Single-Vertex Connected Components : 35
Maximum Vertices in a Connected Component : 746
Maximum Edges in a Connected Component : 3923
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.742377
Graph Density : 0.00247712625753833
Modularity : 0.340567
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 933 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, 28 January 2021 at 02:52 UTC.
The requested start date was Thursday, 28 January 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, 44-minute period from Thursday, 14 January 2021 at 01:11 UTC to Wednesday, 27 January 2021 at 22:56 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:
[171] gigadgets_,enricomolinari [168] enricomolinari,#smartcities [167] theb1m,enricomolinari [165] #smartcities,#fintech [163] #fintech,#iot [100] #iot,#marketing [80] #ebike,winter [80] winter,commuting [80] commuting,gigadgets_ [80] enricomolinari,#ev Top Word Pairs in Tweet in G1:
[145] gigadgets_,enricomolinari [73] #ebike,winter [73] winter,commuting [73] commuting,gigadgets_ [73] enricomolinari,#ev [73] #ev,#selfdrivingcars [73] #selfdrivingcars,#traveltech [56] enricomolinari,#ebike [56] #traveltech,# [56] circular,runways Top Word Pairs in Tweet in G2:
[107] theb1m,enricomolinari [107] enricomolinari,#smartcities [105] #smartcities,#fintech [104] #fintech,#iot [62] #iot,#marketing [47] enricomolinari,travelesquire [47] traveltech,techinsider [35] city,sea [35] sea,theb1m [30] embarking,47bn Top Word Pairs in Tweet in G3:
[31] #travel,#aviation [29] surfnsunshine,travelesquire [26] #aviation,#traveltech [19] #travel,#traveltech [16] uniladtech,enricomolinari [13] uniladtech,sebbourguignon [12] here's,process [12] process,behind [12] behind,designing [12] designing,airplane Top Word Pairs in Tweet in G4:
[36] 10,promising [36] promising,malta [36] malta,based [36] based,#startups [36] #startups,watch [36] watch,2021 [36] 2021,beautiful [36] beautiful,island [36] island,known [36] known,small Top Word Pairs in Tweet in G5:
[10] #travel,#traveltech [8] acomodeo,helps [8] helps,companies [8] companies,find [8] find,serviced [8] serviced,apartments [8] apartments,worldwide [8] worldwide,#travel [7] 旅行,traveltech [7] traveltech,トラベルテック Top Word Pairs in Tweet in G6:
[15] #virtualreality,#tourism [15] #tourism,2021 [15] 2021,chelsey [15] chelsey,hale [15] hale,biz_tourism [15] biz_tourism,#hospitalitytechnology [6] reopening,#hospitalityindustry [6] #hospitalityindustry,requires [6] requires,enhanced [6] enhanced,#customerexperience Top Word Pairs in Tweet in G7:
[8] travelmassive,edinburgh [5] join,travelmassive [5] edinburgh,team [5] team,thu [5] thu,28 [5] 28,jan [5] jan,7pm [5] 7pm,gmt [5] gmt,guests [5] guests,elainedford Top Word Pairs in Tweet in G8:
[13] 155,million [10] company,tripactions [8] traveltech,company [8] tripactions,raises [8] raises,155 [8] million,billion [8] billion,valuation [3] valuation,a16z [3] a16z,led [3] led,round Top Word Pairs in Tweet in G9:
[5] voulez,connaître [5] connaître,dernières [5] dernières,#innovations [5] #innovations,vues [5] vues,#salon [5] #salon,#digital [5] #digital,#tech [5] #tech,#ces [5] #ces,#lasvegas [5] #lasvegas,#iot Top Word Pairs in Tweet in G10:
[2] danmurrayserter,meaasha [2] meaasha,aboxofstories [2] aboxofstories,helping [2] helping,save [2] save,books [2] books,barney_wragg [2] barney_wragg,karakuri_tech [2] karakuri_tech,robot [2] robot,restaurant 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 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: