The graph represents a network of 1,228 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, 23 July 2020 at 01:49 UTC.
The requested start date was Thursday, 23 July 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, 21-hour, 38-minute period from Thursday, 09 July 2020 at 01:15 UTC to Wednesday, 22 July 2020 at 22:53 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 : 1228
Unique Edges : 1678
Edges With Duplicates : 3649
Total Edges : 5327
Number of Edge Types : 5
Retweet : 1354
MentionsInRetweet : 2926
Tweet : 159
Mentions : 868
Replies to : 20
Self-Loops : 181
Reciprocated Vertex Pair Ratio : 0.0469824293353705
Reciprocated Edge Ratio : 0.0897482670558191
Connected Components : 105
Single-Vertex Connected Components : 53
Maximum Vertices in a Connected Component : 972
Maximum Edges in a Connected Component : 4845
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.741506
Graph Density : 0.00181913992710167
Modularity : 0.298926
NodeXL Version : 1.0.1.438
Data Import : The graph represents a network of 1,228 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, 23 July 2020 at 01:49 UTC.
The requested start date was Thursday, 23 July 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, 21-hour, 38-minute period from Thursday, 09 July 2020 at 01:15 UTC to Wednesday, 22 July 2020 at 22:53 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:
[240] space,#traveltech [185] due,commercial [185] commercial,space [176] #traveltech,ty [176] ty,theb1m [174] theb1m,enricomolinari [169] #marketing,#fashiontech [165] sustainable,sports [165] sports,car [165] car,made Top Word Pairs in Tweet in G1:
[115] space,#traveltech [106] due,commercial [106] commercial,space [106] #traveltech,ty [106] ty,theb1m [105] theb1m,enricomolinari [93] building,mars [93] mars,closer [93] closer,think [93] think,due Top Word Pairs in Tweet in G2:
[105] ty,wef [105] wef,enricomolinari [86] space,#traveltech [83] ty,gigadgets_ [79] #smarthome,set [79] set,within [79] day,emergencies [79] emergencies,giving [79] giving,anwer [79] anwer,poverty Top Word Pairs in Tweet in G3:
[105] enricomolinari,spend [105] spend,next [105] next,holidays [105] holidays,offshore [105] offshore,oil [105] oil,rig [105] rig,dealing [105] dealing,massive [105] massive,waves [79] waves,ty Top Word Pairs in Tweet in G4:
[106] sustainable,sports [106] sports,car [106] car,made [106] made,wood [106] wood,ty [106] ty,tictoc [106] #sustainability,#esport [106] #esport,#marketing [105] #marketing,#fashiontech [56] tictoc,#sustainability Top Word Pairs in Tweet in G5:
[31] nodexl,enricomolinari [27] enricomolinari,fmfrancoise [23] traveltech,nodexl [19] fmfrancoise,travel_biz_news [19] travel_biz_news,oleryhq [19] oleryhq,eu_startups [17] eu_startups,usdataa [11] space,#traveltech [9] fmfrancoise,traveltech [8] #cio,#cto Top Word Pairs in Tweet in G6:
[15] ets,sector [15] sector,#ticturisme [14] #ticturisme,vols [14] vols,millorar [14] millorar,#ciberseguretat [11] due,commercial [11] commercial,space [11] ciberseguretat,l'àmbit [10] bwhat's,future [10] future,life Top Word Pairs in Tweet in G7:
[5] 旅行,traveltech [5] traveltech,トラベルテック [5] トラベルテック,領域のit企業 [4] travel,tech [4] #travelphotography,#travelgram [4] #travelgram,#traveltheworld [3] #traveltechnology,#traveltech [3] #hoteliers,#hotelindustry [3] #hotelindustry,#hotelmanagement [3] #hotelmanagement,#hoteltechnology Top Word Pairs in Tweet in G8:
[6] thought,helpful [6] helpful,slightly [6] slightly,using [6] using,wordpress [6] wordpress,travel [6] travel,blogs [5] jasonpupstate,thought [5] blogs,#100daysof [3] travel,industry [2] #traveltech,keeps Top Word Pairs in Tweet in G9:
[15] travolution,start [15] start,summit [13] very,excited [13] excited,participate [13] participate,travolution [13] summit,tomorrow [13] tomorrow,co [13] co,founder [13] founder,pedro_r_a [12] windingtree,very Top Word Pairs in Tweet in G10:
[8] last,week [8] week,apply [8] apply,27th [8] 27th,cohort [8] cohort,#startups [8] #startups,paired [8] paired,exited [8] exited,#entrepreneur [8] #entrepreneur,mentor [8] mentor,media Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
Top Replied-To in G8:
Top Replied-To in G9:
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: