AirCanada (experimental version)
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Uploaded on:
March 26, 2019
Short Description:
AirCanada via NodeXL
http://bit.ly/2U4Lw6f@aircanada
@igordzaiccpc
@yqg_airport
@sewgoodca
@asktsa
@mkmeorg
@scalerboys
@hannahfagut
@yyzgirl
@arvind40c
Top hashtags:
#childrenshospitalsweek
#peopleofpearson
#acmedia
#douanescanada
#canadacustoms
#saintpatricksday
Description:
The graph represents a network of 1 specified Twitter user. The network was obtained from Twitter on Tuesday, 26 March 2019 at 19:09 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
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 : 904
Unique Edges : 796
Edges With Duplicates : 290
Total Edges : 1086
Number of Edge Types : 4
Replies to : 950
Mentions : 104
Retweet : 2
Tweet : 30
Self-Loops : 30
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 904
Maximum Edges in a Connected Component : 1086
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.995578
Graph Density : 0.00110619469026549
Modularity : 0.139808
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[294] booking,reference [274] sorry,hear [265] please,dm [220] dm,booking [196] reaching,out [194] thank,reaching [155] apologize,delay [144] out,apologize [141] hello,thank [135] delay,reply Top Word Pairs in Tweet in G1:
[294] booking,reference [274] sorry,hear [265] please,dm [220] dm,booking [196] reaching,out [194] thank,reaching [155] apologize,delay [144] out,apologize [141] hello,thank [135] delay,reply Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Tweeters in Entire Graph:
Top Tweeters in G1: