Network Profile
Overall Strength
0.37%
of network
(2.40 × 1016)
Direct Connections
4
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
2
Tags on post
Inbound
2
Posts tagging this
Base Node Strength
4
Base Node Influence
1
Connected Nodes
16
Strength Share (vs Direct Neighbours)
0.37%
(2.40 × 1016 overall)
- This Post (0.37%)
- Heikki Tuhkanen (0.82%)
- Ilkka Lehtonen (0.37%)
- Jyrki Lasonpalo (0.37%)
- Kaisa Ivars (0.37%)
- Leea Nikku (0.37%)
- Mari Kunnari (0.37%)
- Markus Tuukkanen (0.37%)
- Mikaela Palmu (0.37%)
- Outi Iljin (0.37%)
- Seppo Rautasuo (0.37%)
- Tero Toivonen (0.37%)
- Jukka Räikkönen (0.37%)
- Mikael Sandström (0.37%)
Dominant nodes (excluded from chart)Markku Johansson 36.66%Jukka Eskola 29.70%Vantaan Viihdeorkesteri 28.05%
Influence Share (vs Direct Neighbours)
- This Post (5.86%)
- Vantaan Viihdeorkesteri (6.21%)
- Heikki Tuhkanen (5.86%)
- Ilkka Lehtonen (5.86%)
- Jukka Eskola (5.86%)
- Jyrki Lasonpalo (5.86%)
- Kaisa Ivars (5.86%)
- Leea Nikku (5.86%)
- Mari Kunnari (5.86%)
- Markku Johansson (5.86%)
- Markus Tuukkanen (5.86%)
- Mikaela Palmu (5.86%)
- Outi Iljin (5.86%)
- Seppo Rautasuo (5.86%)
- Tero Toivonen (5.86%)
- Jukka Räikkönen (5.86%)
- Mikael Sandström (5.86%)
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, 5:13 AM
Analyzing Network Connections...
👁️ 33 Views
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