The graph represents a network of 852 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, 25 June 2020 at 01:48 UTC.
The requested start date was Thursday, 25 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 14-hour, 41-minute period from Thursday, 11 June 2020 at 00:21 UTC to Wednesday, 24 June 2020 at 15:02 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 : 852
Unique Edges : 998
Edges With Duplicates : 2173
Total Edges : 3171
Number of Edge Types : 5
Tweet : 205
Retweet : 781
MentionsInRetweet : 1633
Mentions : 527
Replies to : 25
Self-Loops : 219
Reciprocated Vertex Pair Ratio : 0.0274760383386581
Reciprocated Edge Ratio : 0.0534825870646766
Connected Components : 95
Single-Vertex Connected Components : 43
Maximum Vertices in a Connected Component : 608
Maximum Edges in a Connected Component : 2724
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.229264
Graph Density : 0.00221777196670032
Modularity : 0.402933
NodeXL Version : 1.0.1.436
Data Import : The graph represents a network of 852 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, 25 June 2020 at 01:48 UTC.
The requested start date was Thursday, 25 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 14-hour, 41-minute period from Thursday, 11 June 2020 at 00:21 UTC to Wednesday, 24 June 2020 at 15:02 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] #startup,#traveltech [188] #traveltech,#socialnetworks [143] antibooking,#startup [130] #bigdata,#intelligentassistant [118] enricomolinari,#smarthome [114] #socialnetworks,#bigdata [114] #iot,#sensors [111] ty,techinsider [111] techinsider,enricomolinari [107] perfect,camper Top Word Pairs in Tweet in G1:
[108] enricomolinari,#smarthome [103] #iot,#sensors [102] ty,techinsider [102] techinsider,enricomolinari [98] perfect,camper [98] camper,#traveltech [98] #traveltech,road [98] road,adventures [98] adventures,ty [98] #smarthome,#iot Top Word Pairs in Tweet in G2:
[44] nodexl,nodexl_mktng [44] nodexl_mktng,marc_smith [43] chidambara09,enricomolinari [37] marc_smith,smr_foundation [36] enricomolinari,nodexl [21] windingtree,marklenahan [21] marklenahan,airbnb [21] airbnb,laurentqueige [19] smr_foundation,windingtree [18] laurentqueige,trave Top Word Pairs in Tweet in G3:
[57] welcomecitylab,appel [57] appel,candidatures [43] atout_france,#tourisme [41] #tourisme,#innovation [41] #innovation,atout_france [41] atout_france,lance [41] lance,aujourd [41] aujourd,hui [41] hui,partenariat [41] partenariat,welcomecitylab Top Word Pairs in Tweet in G4:
[6] bchesky,ban [6] ban,discrimination [6] discrimination,airbnb [6] airbnb,many [6] many,years [6] years,ago [6] ago,airbnbcitizen [6] airbnbcitizen,polemic [6] polemic,still [5] covid,19 Top Word Pairs in Tweet in G5:
[11] love,#hoteltech [11] #hoteltech,content [11] content,create [11] create,first [11] first,know [11] know,join [11] join,mailing [11] mailing,list [11] list,below [7] below,receive Top Word Pairs in Tweet in G6:
[18] data,security [18] security,isn [18] isn,set [18] set,forget [18] forget,exercise [18] exercise,ongoing [18] ongoing,effort [18] effort,need [18] need,address [18] address,threats Top Word Pairs in Tweet in G7:
[9] hospitality,startup [9] tech,enabled [9] enabled,apartment [9] apartment,hotels [9] hotels,custom [7] slovakian,startup [7] startup,nextretreat [7] nextretreat,raises [7] raises,600k [7] organise,team Top Word Pairs in Tweet in G8:
[206] #startup,#traveltech [185] #traveltech,#socialnetworks [139] antibooking,#startup [124] #bigdata,#intelligentassistant [111] #socialnetworks,#bigdata [65] #blockchain,#smartcontracts [57] #socialnetworks,#blockchain [48] future,travel [47] travel,market [38] #socialnetworks,#vc Top Word Pairs in Tweet in G9:
[6] discussing,state [6] state,travel [6] travel,tourism [6] tourism,olgagomezgarci1 [6] olgagomezgarci1,fmesny [5] travelscrum,discussing [5] fmesny,#t [3] travelscrum,#hackathon [3] ahhhh,best [3] best,way Top Word Pairs in Tweet in G10:
[10] madrid,barcelona [7] conectorspain,#demoday [7] barcelona,#archipélagonextacelera [7] #archipélagonextacelera,#traveltech [6] #demoday,online [5] #demoday,carlosblanco [5] carlosblanco,#startups [5] #startups,madrid [5] programas,madrid [5] eres,inversor Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
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: