User List, Twitter, 10/19/2021 4:26:20 PM, 264518


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Twitter Users User List
Twitter Users User List
From:
marc_smith
Uploaded on:
October 19, 2021
Short Description:
User List via NodeXL https://bit.ly/3G3MFzS
@animenerd26
@masakox
@jk_rowling
@retailprison
@mark_sheppard
@mickeyds_and_me
@ebruenig
@qasimrashid
@mvforrest
@fka_taylor

Top hashtags:
#gdc2018
#fastfoodproblems
#dearcustomer
#retailproblems
#gdc18
#gdc

Description:
Description
The graph represents a network of 1 specified Twitter user (User List). The network was obtained from Twitter on Tuesday, 19 October 2021 at 16:23 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


Overall Graph Metrics
Vertices : 24
Unique Edges : 21
Edges With Duplicates : 7
Total Edges : 28
Number of Edge Types : 5
Replies to : 6
Mentions : 6
Retweet : 12
MentionsInRetweet : 1
Tweet : 3
Self-Loops : 3
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 24
Maximum Edges in a Connected Component : 28
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.836806
Graph Density : 0.0416666666666667
Modularity : 0.134885
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1 specified Twitter user (User List). The network was obtained from Twitter on Tuesday, 19 October 2021 at 16:23 UTC.

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

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 : In-Degree

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[1] https://twitter.com/forexposure_txt/status/978412117916237825/photo/1?utm_source=fb&utm_medium=fb&utm_campaign=Mark_Sheppard&utm_content=978624401787707392
[1] https://massivelyop.com/2018/03/26/the-gaming-community-rallies-around-everquest-next-ai-developer-dave-mark/
[1] https://www.gofundme.com/f/friends-of-dave-mark
[1] https://twitter.com/Sochi_Problemz/status/434522526052810752/photo/1

Top URLs in Tweet in G1:
[1] https://twitter.com/Sochi_Problemz/status/434522526052810752/photo/1
[1] https://www.gofundme.com/f/friends-of-dave-mark
[1] https://massivelyop.com/2018/03/26/the-gaming-community-rallies-around-everquest-next-ai-developer-dave-mark/
[1] https://twitter.com/forexposure_txt/status/978412117916237825/photo/1?utm_source=fb&utm_medium=fb&utm_campaign=Mark_Sheppard&utm_content=978624401787707392

Top Domains
Top Domains in Tweet in Entire Graph:
[2] twitter.com
[1] massivelyop.com
[1] gofundme.com

Top Domains in Tweet in G1:
[2] twitter.com
[1] gofundme.com
[1] massivelyop.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2] gdc2018
[1] fastfoodproblems
[1] dearcustomer
[1] retailproblems
[1] gdc18
[1] gdc
[1] mcdonaldsproblems
[1] collegehonestly
[1] sochiproblems
[1] likesheneedstolosemoreweight



Top Hashtags in Tweet in G1:
[2] gdc2018
[1] likesheneedstolosemoreweight
[1] sochiproblems
[1] collegehonestly
[1] mcdonaldsproblems
[1] gdc18
[1] gdc
[1] dearcustomer
[1] retailproblems
[1] fastfoodproblems

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

Tags:

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