110, Twitter, 5/6/2020 4:23:31 PM, 226240


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Twitter Users 110
Twitter Users 110
From:
marc_smith
Uploaded on:
May 06, 2020
Short Description:
110 via NodeXL https://bit.ly/2ynogHL
@getimpala
@sommitapp
@cuddlup
@ordercube
@kitro_foodwaste
@guestu_

Top hashtags:
#mobile
#hospitality
#hotel
#travel
#vin
#mobileconcierge
#restaurant
#marketing
#mobileapp
#technology

Description:
Description
The graph represents a network of 6 specified Twitter users (110). The network was obtained from Twitter on Wednesday, 29 April 2020 at 20:46 UTC.

It shows who was mentioned or replied to in the users' recent tweets. It includes only the specified users.

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


Overall Graph Metrics
Vertices : 6
Unique Edges : 0
Edges With Duplicates : 2695
Total Edges : 2695
Number of Edge Types : 3
Tweet : 2683
Retweet : 3
Mentions : 9
Self-Loops : 2686
Reciprocated Vertex Pair Ratio : 1
Reciprocated Edge Ratio : 1
Connected Components : 5
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 2
Maximum Edges in a Connected Component : 1674
Maximum Geodesic Distance (Diameter) : 1
Average Geodesic Distance : 0.25
Graph Density : 0.0666666666666667
Modularity : 0.001483
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 6 specified Twitter users (110). The network was obtained from Twitter on Wednesday, 29 April 2020 at 20:46 UTC.

It shows who was mentioned or replied to in the users' recent tweets. It includes only the specified users.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterUsers
Graph Term : 110
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 : In-Degree

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[8] http://pro.somm-it.com/
[7] https://twitter.com/bymaddyness/status/935794988025368576
[6] http://bit.ly/1nQxNv2
[6] http://bit.ly/1JZRZVW
[5] https://bit.ly/2IHPNny
[5] http://blog.guestu.com/post/147041303022/9-tips-to-get-handle-online-reviews-for-your
[5] http://bit.ly/Guestublogchatbots
[5] http://bit.ly/1PTC3lw
[5] http://bit.ly/1SLrCGH
[5] http://bit.ly/1nq7dJu

Top URLs in Tweet in G1:
[6] http://bit.ly/1JZRZVW
[6] http://bit.ly/1nQxNv2
[5] http://bit.ly/1P9rRcN
[5] http://bit.ly/1Xxlzs2
[5] http://bit.ly/1nq7dJu
[5] http://bit.ly/1SLrCGH
[5] http://bit.ly/1PTC3lw
[5] http://bit.ly/Guestublogchatbots
[5] http://blog.guestu.com/post/147041303022/9-tips-to-get-handle-online-reviews-for-your
[4] http://Booking.com

Top URLs in Tweet in G2:
[8] http://pro.somm-it.com/
[7] https://twitter.com/bymaddyness/status/935794988025368576
[5] https://bit.ly/2IHPNny
[3] http://www.cuddlup.fr
[3] http://bit.ly/2pu40hb
[3] http://bit.ly/2EzjLac
[3] https://bit.ly/2HbavM1
[3] https://bit.ly/2qGwoLv
[3] http://ow.ly/HXdp30kvMfW
[2] http://bit.ly/1TlcKgA

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[293] mobile
[173] hospitality
[117] hotel
[113] travel
[107] vin
[105] mobileconcierge
[101] restaurant
[89] marketing
[60] mobileapp
[57] technology



Top Hashtags in Tweet in G1:
[293] mobile
[167] hospitality
[115] hotel
[113] travel
[105] mobileconcierge
[85] marketing
[60] mobileapp
[54] marketingtips
[54] guestuphone
[53] technology

Top Hashtags in Tweet in G2:
[107] vin
[85] restaurant
[50] foodtech
[50] sommelier
[39] vins
[32] startup
[30] bordeaux
[28] wine
[24] restauration
[23] sommit

Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters

Tags:

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