User List, Twitter, 10/28/2021 3:44:08 PM, 264979


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Twitter Users raulocaranza1 User List
Twitter Users raulocaranza1 User List
From:
marc_smith
Uploaded on:
October 28, 2021
Short Description:
User List via NodeXL https://bit.ly/3vVSQSc
@raulocaranza1
@contentverse
@mainemark8ting
@_flexmr
@applysociology
@emarkable
@cnandco
@qs2point
@tpdtweets
@cloudkettle

Top hashtags:
#bloomingtonin
#technologists
#indiana
#indianapolis
#illinois
#chicago
#h2h
#crm

Description:
Description
The graph represents a network of 1 specified Twitter user (User List). The network was obtained from Twitter on Thursday, 28 October 2021 at 15:23 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 : 2684
Unique Edges : 4000
Edges With Duplicates : 12
Total Edges : 4012
Number of Edge Types : 3
Mentions : 11
Follows : 4000
Tweet : 1
Self-Loops : 1
Reciprocated Vertex Pair Ratio : 0.492732016399553
Reciprocated Edge Ratio : 0.660174781523096
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 2684
Maximum Edges in a Connected Component : 4012
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.99851
Graph Density : 0.000556159469597449
Modularity : 0.221483
NodeXL Version : 1.0.1.447
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=264978
Data Import : The graph represents a network of 1 specified Twitter user (User List). The network was obtained from Twitter on Thursday, 28 October 2021 at 15:23 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 : User List
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 Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2] bloomingtonin
[1] technologists
[1] indiana
[1] indianapolis
[1] illinois
[1] chicago
[1] h2h
[1] crm
[1] cxgis
[1] potential



Top Hashtags in Tweet in G1:
[2] bloomingtonin
[1] technologists
[1] indiana
[1] indianapolis
[1] illinois
[1] chicago
[1] h2h
[1] crm
[1] cxgis
[1] potential

Top Words
Top Words in Tweet in Entire Graph:
[5] gt
[2] #bloomingtonin
[2] win

Top Words in Tweet in G1:
[5] gt
[2] #bloomingtonin
[2] win

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[2] gt,gt

Top Word Pairs in Tweet in G1:
[2] gt,gt

Top Replied-To
Top Mentioned
Top Tweeters

Tags: