The graph represents a network of 430 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, 31 December 2020 at 02:52 UTC.
The requested start date was Thursday, 31 December 2020 at 01:01 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, 22-hour, 42-minute period from Thursday, 17 December 2020 at 02:13 UTC to Thursday, 31 December 2020 at 00:56 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 : 430
Unique Edges : 426
Edges With Duplicates : 713
Total Edges : 1139
Number of Edge Types : 5
Mentions : 195
Retweet : 271
MentionsInRetweet : 521
Tweet : 146
Replies to : 6
Self-Loops : 153
Reciprocated Vertex Pair Ratio : 0.016260162601626
Reciprocated Edge Ratio : 0.032
Connected Components : 82
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 238
Maximum Edges in a Connected Component : 774
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.796523
Graph Density : 0.00338808478343362
Modularity : 0.435619
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 430 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, 31 December 2020 at 02:52 UTC.
The requested start date was Thursday, 31 December 2020 at 01:01 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, 22-hour, 42-minute period from Thursday, 17 December 2020 at 02:13 UTC to Thursday, 31 December 2020 at 00:56 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:
[57] enricomolinari,#traveltech [45] #ai,#iot [44] enricomolinari,#ai [40] both,roads [40] roads,water [40] amphibious,bus [40] cheddar,enricomolinari [34] enricomolinari,#autonomousvehicles [34] #autonomousvehicles,#iot [34] #traveltech,amphibious Top Word Pairs in Tweet in G1:
[19] #ai,#traveltech [16] #ai,#iot [13] #fashiontech,#traveltech [13] #campervan,scratch [13] scratch,everchanginghorizon [13] everchanginghorizon,enricomolinari [13] enricomolinari,#smarthome [13] #smarthome,#iot [13] #iot,#ai [13] wef,enricomolinari Top Word Pairs in Tweet in G2:
[11] 旅行,traveltech [11] traveltech,トラベルテック [10] トラベルテック,領域のit企業 [6] #travel,#traveltech [4] acomodeo,helps [4] helps,companies [4] companies,find [4] find,serviced [4] serviced,apartments [4] apartments,worldwide Top Word Pairs in Tweet in G3:
[33] both,roads [33] roads,water [33] amphibious,bus [33] cheddar,enricomolinari [32] enricomolinari,#traveltech [30] enricomolinari,#ai [29] #traveltech,amphibious [29] bus,useful [29] useful,both [29] water,cheddar Top Word Pairs in Tweet in G4:
[4] travel,tech [4] wishing,everyone [4] everyone,merry [4] merry,christmas [4] christmas,happy [4] happy,year [4] year,traveltech [4] traveltech,scotland [4] scotland,look [4] look,forward Top Word Pairs in Tweet in G5:
[27] think,private [27] private,lounge [27] lounge,#zhengzhou [27] #zhengzhou,airport [27] airport,euro [27] euro,hour [26] travelesquire,think [26] hour,lsjngs [21] lsjngs,#china [21] #china,#travel Top Word Pairs in Tweet in G6:
[19] enricomolinari,number [19] number,passengers [19] passengers,flying [19] flying,eu [19] eu,dropped [19] dropped,2020 [19] 2020,tableaupublic [19] tableaupublic,enricomolinari [19] enricomolinari,#traveltech [5] #digital,life Top Word Pairs in Tweet in G7:
[7] design,cities [6] lista,guía [6] guía,digital [6] digital,punta [6] punta,design [6] cities,contemporary [6] contemporary,city [6] city,guides [6] guides,propuesta [6] propuesta,interactiva Top Word Pairs in Tweet in G8:
[11] forbes,favorites [11] favorites,2020 [11] 2020,year [11] year,best [11] best,boat [11] boat,plane [11] plane,stories [11] stories,forbeslife [10] traveltech15,forbes [10] forbeslife,#yacht Top Word Pairs in Tweet in G9:
[2] korzanj,brunahusky [2] brunahusky,arieltorres [2] arieltorres,astral_facts [2] astral_facts,gustavsen [2] gustavsen,chipigaro [2] chipigaro,schuschny [2] schuschny,santisiri [2] santisiri,mia_astral Top Word Pairs in Tweet in G10:
[4] sector,#traveltech [3] sector,turístic [3] #traveltech,compta [3] compta,amb [3] amb,5k [3] 5k,professionals [3] professionals,digitals [3] digitals,catalunya [3] catalunya,impactat [3] impactat,#covid19 Top Replied-To in Entire Graph:
Top Replied-To in G4:
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: