The graph represents a network of 631 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 Friday, 30 October 2020 at 01:52 UTC.
The requested start date was Thursday, 29 October 2020 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, 15-hour, 58-minute period from Thursday, 15 October 2020 at 04:02 UTC to Wednesday, 28 October 2020 at 20:01 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 : 631
Unique Edges : 603
Edges With Duplicates : 1111
Total Edges : 1714
Number of Edge Types : 5
Retweet : 426
MentionsInRetweet : 801
Tweet : 199
Mentions : 272
Replies to : 16
Self-Loops : 204
Reciprocated Vertex Pair Ratio : 0.0383314543404735
Reciprocated Edge Ratio : 0.0738327904451683
Connected Components : 121
Single-Vertex Connected Components : 67
Maximum Vertices in a Connected Component : 316
Maximum Edges in a Connected Component : 1080
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.612455
Graph Density : 0.00231680627877141
Modularity : 0.457891
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 631 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 Friday, 30 October 2020 at 01:52 UTC.
The requested start date was Thursday, 29 October 2020 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, 15-hour, 58-minute period from Thursday, 15 October 2020 at 04:02 UTC to Wednesday, 28 October 2020 at 20:01 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:
[69] startupselfieco,enricomolinari [64] enricomolinari,#traveltech [61] motorhome,hotel [61] hotel,wheels [61] wheels,startupselfieco [61] #traveltech,#iot [46] #iot,#retailtech [44] enricomolinari,motorhome [44] #retailtech,#smarthom [42] #ai,#iot Top Word Pairs in Tweet in G1:
[64] startupselfieco,enricomolinari [58] enricomolinari,#traveltech [56] motorhome,hotel [56] hotel,wheels [56] wheels,startupselfieco [56] #traveltech,#iot [42] #iot,#retailtech [40] enricomolinari,motorhome [40] #retailtech,#smarthom [36] #ai,#iot Top Word Pairs in Tweet in G2:
[14] covid,19 [12] #travel,#traveltech [10] amadeus,global [10] global,travel [10] travel,technology [10] technology,company [10] company,revealed [10] revealed,first [10] first,covid [10] 19,travel Top Word Pairs in Tweet in G3:
[5] payment,fraud [5] active,member [5] member,both [5] both,etc_corporate [5] etc_corporate,#europeantourismmanifesto [5] #europeantourismmanifesto,alliance [5] alliance,traveltech [4] traveltech,senkevincramer [4] senkevincramer,sencortezmasto [4] gwebbtravel,active Top Word Pairs in Tweet in G4:
[17] soon,live [17] live,#space [17] #space,1st [17] 1st,hotel [17] hotel,space [17] space,ready [17] ready,early [17] early,2021 [17] 2021,ty [17] ty,seeker Top Word Pairs in Tweet in G5:
[19] atout_france,welcomecitylab [16] lauréats,appel [14] #traveltech,atout_france [14] welcomecitylab,sont [14] sont,heureux [14] heureux,donner [14] donner,parole [14] parole,aux [14] aux,lauréats [13] atout_france,#traveltech Top Word Pairs in Tweet in G6:
[4] call,#scottish [4] #scottish,#traveltech [4] #traveltech,#tech [4] #tech,dmos [4] dmos,listed [4] listed,scottishtoolkit [4] scottishtoolkit,please [4] please,complete [4] complete,form [4] traveltech,scotland Top Word Pairs in Tweet in G7:
[4] travolution,awards [4] wow,wow [3] group,represent [3] represent,delegates [3] delegates,phocuswright [3] phocuswright,conference [3] conference,pretty [3] pretty,diverse [3] diverse,time [3] time,re Top Word Pairs in Tweet in G8:
[4] quelles,sont [4] sont,startups [4] startups,8ème [4] 8ème,promotion [4] promotion,l'accélérateur [4] l'accélérateur,evoyageurssncf [4] evoyageurssncf,#startups [4] #startups,#traveltech [4] #traveltech,#innovation [3] travelonmove,quelles Top Word Pairs in Tweet in G9:
[15] #lowcode,development [15] development,helps [15] helps,companies [15] companies,save [15] save,time [15] time,release [15] release,#software [15] #software,before [15] before,competitors [14] aneeshnair,#lowcode Top Word Pairs in Tweet in G10:
[2] tomorrow,october [2] october,29 [2] 29,12 [2] 12,noon [2] noon,edt [2] edt,hosting [2] hosting,webinar [2] webinar,bringing [2] bringing,flexibility [2] flexibility,travel Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G6:
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:
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: