Network Profile
Node & Network Strength Details
How is this calculated? The math continuously tracks how strongly this post is connected to the rest of the website.
Every tag forms a network link. The pie charts below show exactly which connected posts are generating the most power for this specific network cluster.
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Base Node Strength
9
Base Node Influence
1
Connected Nodes
4
Network Strength Make-up
- This Post (29.45%)
- Civil Engineering and Development Building (4.91%)
- Civil Engineering and Development Department, CEDD in 2023 (4.91%)
- Cross Bay Link, Tseung Kwan O (1.84%)
Dominant nodes (excluded from chart)Civil Engineering and Development Department 58.90%
Influence Score Make-up
- This Post (26.09%)
- Cross Bay Link, Tseung Kwan O (26.09%)
- Civil Engineering and Development Building (17.39%)
- Civil Engineering and Development Department, CEDD in 2023 (17.39%)
- Civil Engineering and Development Department (13.04%)
Connected Network (How neighbours affect this node)
Top Network Boosters (Highest Multipliers)
Weakest Connections (Lowest Multipliers)
Connection Health Audit (Red = broken 1-way link)
Last calculated math cycle: Apr 30, 6:57 AM
Analyzing Network Connections...
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Nearest Locations
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Sai Kung District, Hong Kong, China
👁️ 8 Views