The graph represents a network of 551 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, 09 September 2021 at 01:53 UTC.
The requested start date was Thursday, 09 September 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 12-day, 15-hour, 21-minute period from Thursday, 26 August 2021 at 05:34 UTC to Tuesday, 07 September 2021 at 20:55 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 : 551
Unique Edges : 737
Edges With Duplicates : 1723
Total Edges : 2460
Number of Edge Types : 5
Retweet : 666
MentionsInRetweet : 1414
Tweet : 107
Mentions : 262
Replies to : 11
Self-Loops : 117
Reciprocated Vertex Pair Ratio : 0.0289219982471516
Reciprocated Edge Ratio : 0.0562180579216354
Connected Components : 62
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 398
Maximum Edges in a Connected Component : 2235
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.61094
Graph Density : 0.00387394819336743
Modularity : 0.336461
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 551 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, 09 September 2021 at 01:53 UTC.
The requested start date was Thursday, 09 September 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 12-day, 15-hour, 21-minute period from Thursday, 26 August 2021 at 05:34 UTC to Tuesday, 07 September 2021 at 20:55 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:
[213] learn,more [211] more,teamquibble [211] teamquibble,#vacationrental [114] #vacationrental,#traveltech [114] #traveltech,#rm [114] #rm,#str [113] teamquibble,learn [113] #str,#m [97] #vacationrental,#machinelearning [97] #machinelearning,#5g Top Word Pairs in Tweet in G1:
[207] learn,more [207] more,teamquibble [207] teamquibble,#vacationrental [112] #vacationrental,#traveltech [112] #traveltech,#rm [112] #rm,#str [111] teamquibble,learn [111] #str,#m [95] #vacationrental,#machinelearning [95] #machinelearning,#5g Top Word Pairs in Tweet in G2:
[31] enricomolinari,#traveltech [29] wef,enricomolinari [20] #finserv,#insurtech [17] #insurtech,#proptech [16] enricomolinari,#smartcities [15] #smartcities,#ehealth [15] #ehealth,#iot [14] uniladtech,enricomolinari [13] sticky,situation [13] situation,wef Top Word Pairs in Tweet in G3:
[67] amphibious,bus [67] bus,cheddar [67] cheddar,#autonomousvehicles [67] #autonomousvehicles,#iot [67] #iot,#traveltech [67] cc,enricomolinari [66] #traveltech,cc [66] enricomolinari,jblefevre60 [65] ronald_vanloon,amphibious [65] jblefevre60,ym78200 Top Word Pairs in Tweet in G4:
[11] 14,15 [9] traveltech,show [8] business,travel [8] one,week [8] week,go [7] #businesstravel,#corporatetravel [7] #corporatetravel,#traveltech [7] #businesstravel,#traveltech [6] #traveltech,#elementtech [6] 15,september Top Word Pairs in Tweet in G5:
[10] #travel,#traveltech [10] boeing,737 [10] 737,sized [10] sized,aircraft [10] aircraft,take [10] take,sea [10] sea,uniladtech [10] uniladtech,#travel [9] surfnsunshine,travelesquire [9] travelesquire,boeing Top Word Pairs in Tweet in G6:
[5] learn,more [4] more,teamquibble [4] teamquibble,#vacationrental [3] business,travelers [3] read,more [3] always,joy [3] joy,see [3] see,customers [3] customers,excel [3] excel,critonhq Top Word Pairs in Tweet in G7:
[3] #businesstravel,#corporatetravel [3] acomodeo,helps [3] helps,companies [3] companies,find [3] find,serviced [3] serviced,apartments [3] apartments,worldwide [3] worldwide,#travel [3] #travel,#traveltech [3] stay,tuned Top Word Pairs in Tweet in G8:
[7] #traveltech,están [7] están,revolucionando [7] revolucionando,mercado [7] mercado,español [5] descubre,14 [5] 14,startups [5] startups,sector [5] sector,#traveltech [4] intelectium,descubre [4] español,oa Top Word Pairs in Tweet in G9:
[10] calling,#startups [10] #startups,join [10] join,amadeus [10] amadeus,launchpad [10] launchpad,thetrampery [10] thetrampery,travel [10] travel,tech [10] tech,virtual [10] virtual,event [10] event,focused Top Word Pairs in Tweet in G10:
[2] amphibious,bus [2] bus,cheddar [2] cheddar,#autonomousvehicles [2] #autonomousvehicles,#iot [2] #iot,#traveltech [2] #traveltech,#100daysofcode [2] #100daysofcode,#technology [2] #technology,cc [2] cc,enricomolinari Top Replied-To in Entire Graph:
Top Replied-To in G4:
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:
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: