bakerinc, Twitter, 12/17/2019 6:54:13 PM, 218999


FAQ | Problem?

Twitter Users Usernames
Twitter Users Usernames
From:
marc_smith
Uploaded on:
December 17, 2019
Short Description:
bakerinc via NodeXL http://bit.ly/2PYAc7x
@bakerinc
@peterthiel
@bgurley
@heatherosler
@chiliindar
@emmettkelly
@cath_devries
@hstagingvisuals
@mirealestate
@torontorobford

Top hashtags:
#toronto
#condo
#live
#realestate
#home
#condos
#bakerrealestate
#11yv
#xocondos

Description:
Description
The graph represents a network of 1 specified Twitter user. The network was obtained from Twitter on Tuesday, 17 December 2019 at 18:42 UTC.

It shows who was mentioned or replied to in the users' recent tweets, along with some of the follow relationships.

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 : 3993
Unique Edges : 4002
Edges With Duplicates : 198
Total Edges : 4200
Number of Edge Types : 4
Mentions : 17
Replies to : 1
Follows : 4000
Tweet : 182
Self-Loops : 182
Reciprocated Vertex Pair Ratio : 0.00400801603206413
Reciprocated Edge Ratio : 0.00798403193612774
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 3993
Maximum Edges in a Connected Component : 4200
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.998998
Graph Density : 0.000251442027556239
Modularity : 0.046964
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 1 specified Twitter user. The network was obtained from Twitter on Tuesday, 17 December 2019 at 18:42 UTC.

It shows who was mentioned or replied to in the users' recent tweets, along with some of the follow relationships.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterUsers
Graph Term : bakerinc
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:
[14] https://blog.bakerrealestate.com/
[3] https://clonmoretowns.ca/
[3] https://www.habiterlesquare.ca/home
[2] https://xocondos.com/
[2] https://11yorkville.com/
[2] http://www.osfi-bsif.gc.ca/Eng/osfi-bsif/med/Pages/B20_dft_nr.aspx
[2] http://www.emeraldcitylife.ca/
[2] https://www.cmhc-schl.gc.ca/en/buying/condominium-buyers-guide
[2] https://www.canada.ca/en/immigration-refugees-citizenship/news/2017/11/news_release_growingcanadaseconomicfuture.html
[2] http://bildgta.ca/news/newsreleases

Top URLs in Tweet in G1:
[14] https://blog.bakerrealestate.com/
[3] https://www.habiterlesquare.ca/home
[3] https://clonmoretowns.ca/
[2] http://www.osfi-bsif.gc.ca/Eng/osfi-bsif/med/Pages/B20_dft_nr.aspx
[2] https://www.canada.ca/en/immigration-refugees-citizenship/news/2017/11/news_release_growingcanadaseconomicfuture.html
[2] http://bildgta.ca/news/newsreleases
[2] http://www.emeraldcitylife.ca/
[2] https://www.cmhc-schl.gc.ca/en/buying/condominium-buyers-guide
[2] https://xocondos.com/
[2] https://11yorkville.com/

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[24] toronto
[15] condo
[12] live
[12] realestate
[10] home
[8] condos
[8] bakerrealestate
[7] 11yv
[6] xocondos
[5] condoliving



Top Hashtags in Tweet in G1:
[24] toronto
[15] condo
[12] realestate
[12] live
[10] home
[8] bakerrealestate
[8] condos
[7] 11yv
[6] xocondos
[5] condoliving

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

Tags: