The graph represents a network of 547 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 April 2020 at 01:48 UTC.
The requested start date was Thursday, 16 April 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, 20-hour, 33-minute period from Thursday, 02 April 2020 at 00:36 UTC to Wednesday, 15 April 2020 at 21:10 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 : 547
Unique Edges : 474
Edges With Duplicates : 1977
Total Edges : 2451
Number of Edge Types : 5
Retweet : 832
MentionsInRetweet : 1107
Tweet : 309
Replies to : 11
Mentions : 192
Self-Loops : 327
Reciprocated Vertex Pair Ratio : 0.0256410256410256
Reciprocated Edge Ratio : 0.05
Connected Components : 114
Single-Vertex Connected Components : 61
Maximum Vertices in a Connected Component : 237
Maximum Edges in a Connected Component : 1787
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.412246
Graph Density : 0.00241075195371356
Modularity : 0.273861
NodeXL Version : 1.0.1.430
Data Import : The graph represents a network of 547 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 April 2020 at 01:48 UTC.
The requested start date was Thursday, 16 April 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, 20-hour, 33-minute period from Thursday, 02 April 2020 at 00:36 UTC to Wednesday, 15 April 2020 at 21:10 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:
[577] #startup,#traveltech [553] #traveltech,#socialnetworks [476] antibooking,#startup [102] #bigdata,#intelligentassistant [86] #socialnetworks,#bigdata [68] travel,both [68] both,roads [68] roads,water [68] water,amphibious [68] amphibious,bus Top Word Pairs in Tweet in G1:
[65] travel,both [65] both,roads [65] roads,water [65] water,amphibious [65] amphibious,bus [65] bus,ty [65] ty,cheddar [65] cheddar,enricomolinari [65] enricomolinari,#autonomousvehicles [65] #autonomousvehicles,#iot Top Word Pairs in Tweet in G2:
[6] register,#apautomation [6] #apautomation,#accountspayable [5] travel,tech [4] cómo,enfrentan [4] enfrentan,startups [4] startups,traveltech [4] traveltech,crisis [4] crisis,covid [4] covid,19 [4] #accountspayable,#expensemanagement Top Word Pairs in Tweet in G3:
[571] #startup,#traveltech [551] #traveltech,#socialnetworks [475] antibooking,#startup [101] #bigdata,#intelligentassistant [85] #socialnetworks,#bigdata [60] #socialnetworks,#vc [59] #vc,#angelinvesting [59] #angelinvesting,#innovation [57] #innovation,#businessangels [45] trip,planner Top Word Pairs in Tweet in G4:
[25] #travel,#aviation [24] #aviation,#aviationlovers [20] #aviationlovers,#traveltech [14] runway,coming [14] coming,airport [14] airport,near [14] near,2050 [14] 2050,#travel [13] travelesquire,runway [11] airplane,takeoffs Top Word Pairs in Tweet in G5:
[3] medical,workers [3] covid,19 [2] short,term [2] term,rentals [2] thank,airbnb [2] airbnb,grateful [2] grateful,giving [2] giving,those [2] those,taking [2] taking,care Top Word Pairs in Tweet in G6:
[3] still,opportunities [3] opportunities,#traveltech [3] #traveltech,startups [3] startups,focused [3] focused,b2b [3] b2b,products [3] products,innovation [3] innovation,chrishemmeter [3] chrishemmeter,skift [3] fierce,females Top Word Pairs in Tweet in G7:
[14] eddytravels,closes [14] pre,seed [14] seed,round [14] travel,assistant [11] lithuanian,canadian [11] canadian,startup [11] startup,eddytravels [11] closes,million [11] million,pre [11] round,ai Top Word Pairs in Tweet in G8:
[31] #video,#stockphotos [31] #stockphotos,#100daysofcode [31] #100daysofcode,#design [31] #design,#uiux [31] #uiux,#url [31] #url,#graphicdesign [31] #graphicdesign,#100daysofcode [31] #100daysofcode,#martech [31] #martech,#webdevelopment [24] ranitsarker,#video Top Word Pairs in Tweet in G9:
[2] latest,network [2] network,outsource [2] outsource,tech [2] tech,daily [2] daily,thanks [2] travel,tech [2] tech,#startup [2] #startup,rategain [2] rategain,furloughs [2] furloughs,employees Top Word Pairs in Tweet in G10:
[10] ai,editorial [6] editorial,travel [4] travel,industry [4] industry,acts [4] acts,#kindness [4] #kindness,stand [4] stand,during [4] during,#coronavirus [4] #coronavirus,crisis [4] specialists,sharpen Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
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:
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Top Tweeters in G9:
Top Tweeters in G10: