The graph represents a network of 634 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, 27 May 2021 at 01:52 UTC.
The requested start date was Thursday, 27 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 13-day, 18-hour, 57-minute period from Thursday, 13 May 2021 at 04:29 UTC to Wednesday, 26 May 2021 at 23:27 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 : 634
Unique Edges : 633
Edges With Duplicates : 1469
Total Edges : 2102
Number of Edge Types : 5
Retweet : 501
MentionsInRetweet : 972
Tweet : 227
Mentions : 391
Replies to : 11
Self-Loops : 250
Reciprocated Vertex Pair Ratio : 0.0479302832244009
Reciprocated Edge Ratio : 0.0914760914760915
Connected Components : 149
Single-Vertex Connected Components : 94
Maximum Vertices in a Connected Component : 313
Maximum Edges in a Connected Component : 1527
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.02596
Graph Density : 0.00239707765833919
Modularity : 0.397958
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 634 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, 27 May 2021 at 01:52 UTC.
The requested start date was Thursday, 27 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 13-day, 18-hour, 57-minute period from Thursday, 13 May 2021 at 04:29 UTC to Wednesday, 26 May 2021 at 23:27 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:
[80] gigadgets_,enricomolinari [71] #ai,#iot [61] wef,enricomolinari [53] travel,apps [53] apps,know [53] know,comments [53] comments,others [53] others,appreciate [53] appreciate,recommendation [49] well,#traveltech Top Word Pairs in Tweet in G1:
[71] gigadgets_,enricomolinari [62] #ai,#iot [53] wef,enricomolinari [35] floating,#smarthouse [35] #smarthouse,#climatechange [35] #climatechange,gigadgets_ [33] enricomolinari,#traveltech [31] mashable,enricomolinari [29] enricomolinari,#blockchain [29] #blockchain,#iot Top Word Pairs in Tweet in G2:
[53] travel,apps [53] apps,know [53] know,comments [53] comments,others [53] others,appreciate [53] appreciate,recommendation [48] recommendation,well [48] well,#traveltech [48] #traveltech,#travelapps [48] #travelapps,#traveler Top Word Pairs in Tweet in G3:
[31] enricomolinari,travel_biz_news [28] travel_biz_news,traveltech [20] travel,industry [19] nodexl,enricomolinari [15] influencers,#traveltech [14] #traveltech,#blockchain [13] enricomolinari,#traveltech [12] top,influencers [12] #traveltech,#nodexl [12] #nodexl,enricomolinari Top Word Pairs in Tweet in G4:
[15] winners,2021 [12] #paris,time [11] join,online [11] online,tomorrow [11] tomorrow,30 [11] 30,pm [11] pm,#paris [11] time,discover [11] discover,winners [11] 2021,#startup Top Word Pairs in Tweet in G5:
[20] wanted,turn [20] turn,video [20] video,audio [20] audio,re [20] re,live [20] live,#instagram [20] #instagram,features [19] aniket97398350,wanted [19] features,tur [15] micro,moment Top Word Pairs in Tweet in G6:
[6] uzakrota,usa [6] summit,2021 [5] panel,innovating [5] atmdubai,come [5] edmundas4,tomorrow [4] tomorrow,going [4] going,person [4] person,#travel [4] #travel,#conference [4] #conference,#dubai Top Word Pairs in Tweet in G7:
[17] coincidentally,currently [10] currently,available [6] #travel,#tourism [6] #tourism,#traveltech [5] rapid,#covidtesting [5] #covidtesting,vital [5] vital,keeping [5] keeping,life [5] life,moving [5] moving,#lockdown Top Word Pairs in Tweet in G8:
[7] travel,tech [7] tech,tuesday [6] hour,go [6] go,before [6] before,conversation [6] conversation,amazing [6] amazing,mairepwalsh [6] mairepwalsh,hharteveldt [6] hharteveldt,travel [5] brianmarrinan,hour Top Word Pairs in Tweet in G10:
[5] #traveltech,#airlinendc [5] airlines,need [4] #travel,#airlines [4] #airlinendc,#airlines [4] #databreach,inevitable [4] inevitable,minimize [4] minimize,damage [4] damage,breach [4] breach,happens [4] happens,respond Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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 G9:
Top Tweeters in G10: