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 each connected post's base strength (PV) and influence (IV) as a share of this post's direct neighbourhood.
// 1. Base variables (minimum value of 1 to prevent zero-multiplication issues)
Outbound ($in) = max(1, 10) =
10
Inbound ($out) = max(1, 10) =
10
// 2. Node Base Values
Base Strength (PV) = $in × $out = 10 × 10 =
100
Base Influence (IV) = $in ÷ $out = 10 ÷ 10 =
1
// 3. Network Exponential Values (accumulating 9 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
6.55M
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1
Outbound
10
Tags on post
Inbound
10
Posts tagging this
Base Node Strength
100
Base Node Influence
1
Connected Nodes
9
Strength Share (vs Direct Neighbours)
- This Post (75.19%)
- Brug 218 (3.01%)
- Huis aan de Drie Grachten (3.01%)
- Binnengasthuis, Amsterdam (3.01%)
- Brug 201, Sleutelbrug (3.01%)
- Gasthuispoort, Amsterdam (3.01%)
- Grimburgwal 1-5, Amsterdam (3.01%)
- Grimburgwal 13, Amsterdam (3.01%)
- Grimburgwal 15, Amsterdam (3.01%)
- Grimburgwal, Amsterdam (0.75%)
Influence Share (vs Direct Neighbours)
- This Post (10.00%)
- Grimburgwal, Amsterdam (10.00%)
- Brug 218 (10.00%)
- Huis aan de Drie Grachten (10.00%)
- Binnengasthuis, Amsterdam (10.00%)
- Brug 201, Sleutelbrug (10.00%)
- Gasthuispoort, Amsterdam (10.00%)
- Grimburgwal 1-5, Amsterdam (10.00%)
- Grimburgwal 13, Amsterdam (10.00%)
- Grimburgwal 15, Amsterdam (10.00%)
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: May 4, 8:10 PM
Analyzing Network Connections...
Amsterdam, North Holland, Netherlands
👁️ 13 Views