Data Journalism, YouTube, 9/11/2019 7:36:37 AM, 209397


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YouTube Video Data Journalism
YouTube Video Data Journalism
From:
SMRFoundation
Uploaded on:
September 11, 2019
Short Description:
Data Journalism via NodeXL http://bit.ly/31aWuHC
@k2aBj56P6tc
@6KsgN4WxOO8
@Du1RH3wJfUw
@YBh4qIc3Nrc
@Mql9jryzvEQ
@wAJ2n9_j5YA
@kSEnp6-l5jE
@faVkKl611qg
@9eLjdXR4pWs
@VTENG0FpW34

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Description:
Description
The graph represents the network of YouTube videos whose title, keywords, description, categories, or author's username contain "Data Journalism". The network was obtained from YouTube on Wednesday, 11 September 2019 at 07:31 UTC.

The network was limited to 200 videos.

There is an edge for each pair of videos commented on by the same user.

The graph is undirected.

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 : 192
Unique Edges : 0
Edges With Duplicates : 5
Total Edges : 5
Self-Loops : 0
Reciprocated Vertex Pair Ratio : Not Applicable
Reciprocated Edge Ratio : Not Applicable
Connected Components : 191
Single-Vertex Connected Components : 190
Maximum Vertices in a Connected Component : 2
Maximum Edges in a Connected Component : 5
Maximum Geodesic Distance (Diameter) : 1
Average Geodesic Distance : 0,5
Graph Density : 5,45375218150087E-05
Modularity : 0,16
NodeXL Version : 1.0.1.419

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
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