Network Profile
Overall Strength
1.50%
of network
(1.24 × 1022)
Direct Connections
6
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.
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Base Node Strength
9
Base Node Influence
1
Connected Nodes
18
Strength Share (vs Direct Neighbours)
1.50%
(1.24 × 1022 overall)
- This Post (1.50%)
- Deathbound (20.10%)
- Satariel (16.61%)
- Kai Jaakkola (5.98%)
- Mika Aalto (4.15%)
- Mikael Sandorf (4.15%)
- Sami Latva (4.15%)
- Henrik Ã
berg (2) (4.15%)
- Tommi Konu (2.66%)
- Toni Pihlaja (1.50%)
- Patrik Sundkvist (1.50%)
- Petri Seikkula (1.50%)
- Magnus Alakangas (0.66%)
- Mikael Granqvist (0.66%)
- Pär Johansson (0.66%)
- Andreas Nilzon (0.66%)
- Mikael Granbacke (0.66%)
- Nicklas Sundqvist (0.66%)
Dominant nodes (excluded from chart)Simon Johansson 28.07%
Influence Share (vs Direct Neighbours)
- This Post (5.26%)
- Deathbound (5.26%)
- Satariel (5.26%)
- Simon Johansson (5.26%)
- Mika Aalto (5.26%)
- Magnus Alakangas (5.26%)
- Mikael Granqvist (5.26%)
- Pär Johansson (5.26%)
- Kai Jaakkola (5.26%)
- Mikael Sandorf (5.26%)
- Sami Latva (5.26%)
- Toni Pihlaja (5.26%)
- Tommi Konu (5.26%)
- Andreas Nilzon (5.26%)
- Mikael Granbacke (5.26%)
- Patrik Sundkvist (5.26%)
- Nicklas Sundqvist (5.26%)
- Petri Seikkula (5.26%)
- Henrik Ã
berg (2) (5.26%)
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 2, 5:42 AM
Analyzing Network Connections...
👁️ 30 Views
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