The graph represents a network of 1,032 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, 16 July 2020 at 01:48 UTC.
The requested start date was Thursday, 16 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, 12-hour, 47-minute period from Thursday, 02 July 2020 at 06:23 UTC to Wednesday, 15 July 2020 at 19:11 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 : 1032
Unique Edges : 1279
Edges With Duplicates : 2834
Total Edges : 4113
Number of Edge Types : 5
Retweet : 1007
MentionsInRetweet : 2083
Mentions : 868
Tweet : 137
Replies to : 18
Self-Loops : 149
Reciprocated Vertex Pair Ratio : 0.0530839231547017
Reciprocated Edge Ratio : 0.100816130580893
Connected Components : 108
Single-Vertex Connected Components : 53
Maximum Vertices in a Connected Component : 778
Maximum Edges in a Connected Component : 3650
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.984612
Graph Density : 0.00195772148662772
Modularity : 0.315699
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 1,032 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, 16 July 2020 at 01:48 UTC.
The requested start date was Thursday, 16 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, 12-hour, 47-minute period from Thursday, 02 July 2020 at 06:23 UTC to Wednesday, 15 July 2020 at 19:11 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:
[181] due,commercial [181] commercial,space [172] space,#traveltech [172] #traveltech,ty [172] ty,theb1m [170] theb1m,enricomolinari [148] building,mars [148] mars,closer [148] closer,think [148] think,due Top Word Pairs in Tweet in G1:
[115] due,commercial [115] commercial,space [115] space,#traveltech [115] #traveltech,ty [115] ty,theb1m [114] theb1m,enricomolinari [98] building,mars [98] mars,closer [98] closer,think [98] think,due Top Word Pairs in Tweet in G2:
[74] #fashiontech,#traveltech [68] cheddar,enricomolinari [68] enricomolinari,#leadership [68] #leadership,#nature [63] enricomolinari,summer [63] summer,magic [63] #nature,#fashiontech [49] ty,cheddar [44] magic,ty [43] carry,comes Top Word Pairs in Tweet in G3:
[63] ty,gigadgets_ [59] #smarthome,set [59] set,within [59] day,emergencies [59] emergencies,giving [59] giving,anwer [59] anwer,poverty [59] poverty,ty [52] within,one [52] one,day Top Word Pairs in Tweet in G4:
[6] raises,million [4] paris,based [3] irish,traveltech [3] traveltech,rove [3] rove,lands [3] lands,450k [3] 450k,seed [3] seed,funding [3] funding,cloud [3] cloud,based Top Word Pairs in Tweet in G5:
[14] travel,industry [8] 10,ways [8] ways,artificial [8] artificial,intelligence [8] intelligence,ai [8] ai,transforming [8] transforming,travel [7] prismetric,10 [7] industry,#traveltechâ [5] #traveltech,#startup Top Word Pairs in Tweet in G6:
[16] raises,million [12] french,#traveltech [10] eu_startups,french [9] irish,#traveltech [9] #traveltech,rove [9] rove,lands [9] lands,450k [9] 450k,seed [9] seed,funding [9] funding,zooshventures Top Word Pairs in Tweet in G7:
[11] due,commercial [11] commercial,space [11] ðÿœš,#drones [11] #drones,dive [11] dive,under [11] under,water [11] water,evankirstel [11] evankirstel,#travelphotography [11] #travelphotography,#travel [11] #travel,#traveltech Top Word Pairs in Tweet in G8:
[10] vacation,rental [9] trade,group [9] group,repping [9] repping,airbnb [9] airbnb,vacation [9] rental,groups [9] groups,tells [9] tells,mayorgimenez [9] mayorgimenez,œsimply [9] œsimply,doesnâ Top Word Pairs in Tweet in G9:
[17] partners,gda_capital [17] gda_capital,produced [17] produced,research [17] research,report [17] report,spotlighting [17] spotlighting,travel [17] travel,focused [17] focused,blockchain [17] blockchain,shareringglobal [16] mlgblockchain,partners Top Word Pairs in Tweet in G10:
[7] #cio,#cto [6] #cto,#ciso [4] strategies,engaging [4] engaging,entirely [4] entirely,#mobile [4] #mobile,workforce [4] workforce,#cios [4] #cios,offer [4] offer,advice [4] advice,#cio Top Replied-To in Entire Graph:
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: