Network Profile
Overall Strength
39.75%
of network
(150.99M)
Direct Connections
16
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 ($in) = max(1, 8) =
8
Inbound ($out) = max(1, 8) =
8
// 2. Node Base Values
Base Strength (PV) = $in × $out = 8 × 8 =
64
Base Influence (IV) = $in ÷ $out = 8 ÷ 8 =
1
// 3. Network Exponential Values (accumulating 8 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
150.99M
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Base Node Strength
64
Base Node Influence
1
Connected Nodes
8
Strength Share (vs Direct Neighbours)
- This Post (39.75%)
- Enrico Marchiori (5.59%)
- Andreas Baier (2.48%)
- Armin Schweiger (2.48%)
- Olle Ferner (2.48%)
- Olli Nokkala (2.48%)
- Panu Posti (2.48%)
- Patrik Howe (2.48%)
Dominant nodes (excluded from chart)Tsubo 39.75%
Influence Share (vs Direct Neighbours)
- This Post (11.11%)
- Tsubo (11.11%)
- Andreas Baier (11.11%)
- Armin Schweiger (11.11%)
- Enrico Marchiori (11.11%)
- Olle Ferner (11.11%)
- Olli Nokkala (11.11%)
- Panu Posti (11.11%)
- Patrik Howe (11.11%)
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 5, 3:31 AM
Analyzing Network Connections...
👁️ 16 Views
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