Youtube Learning, Twitter, 11/10/2023 10:29:10 PM, 292934


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Youtube Learning Twitter NodeXL SNA Map and Report for Monday, 30 October 2023 at 15:10 UTC
Youtube Learning Twitter NodeXL SNA Map and Report for Monday, 30 October 2023 at 15:10 UTC
From:
Guest
Uploaded on:
November 10, 2023
Short Description:
Youtube Learning via NodeXL https://bit.ly/3Qz6GEL
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Top hashtags:
#learning
#youtube
#education
#success
#motivation
#life
#shorts
#educational
#podcast
#kidslearning

Description:
Description
The graph represents a network of 24,873 Twitter users whose recent tweets contained "Youtube Learning", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 10/30/2023 10:08:52 AM. The network was obtained from Twitter on Monday, 30 October 2023 at 20:28 UTC.

The tweets in the network were tweeted over the 2636-day, 18-hour, 6-minute period from Wednesday, 10 August 2016 at 21:21 UTC to Monday, 30 October 2023 at 15:27 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

The graph is directed.

The graph's vertices were grouped by cluster using the Wakita-Tsurumi cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.


Overall Graph Metrics
Vertices : 828
Unique Edges : 1034
Edges With Duplicates : 0
Total Edges : 1034
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0.00583657587548638
Reciprocated Edge Ratio : 0.011605415860735
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 827
Maximum Edges in a Connected Component : 1034
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 4.892783
Graph Density : 0.00151002692930036
Modularity : 0.657339
NodeXL Version : 1.0.1.523
Data Import : The graph represents a network of 24,873 Twitter users whose recent tweets contained "Youtube Learning", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 10/30/2023 10:08:52 AM. The network was obtained from Twitter on Monday, 30 October 2023 at 20:28 UTC.

The tweets in the network were tweeted over the 2636-day, 18-hour, 6-minute period from Wednesday, 10 August 2016 at 21:21 UTC to Monday, 30 October 2023 at 15:27 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : Youtube Learning
Groups : The graph's vertices were grouped by cluster using the Wakita-Tsurumi cluster algorithm.
Edge Color : Favorite Count
Vertex Color : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1338] learning
[606] youtube
[343] education
[209] success
[206] motivation
[165] life
[155] shorts
[130] educational
[125] podcast
[118] kidslearning



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

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