Network Profile
Overall Strength
0.41%
of network
(4.33 × 1018)
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
18
Strength Share (vs Direct Neighbours)
0.41%
(4.33 × 1018 overall)
- This Post (0.41%)
- Eero Koivistoinen (0.93%)
- Esko Heikkinen (0.93%)
- Esko Linnavalli (0.93%)
- Esko Rosnell (0.93%)
- Juhani Aaltonen (0.93%)
- Christer Boustedt (0.41%)
- Don Bane (0.41%)
- Eero Ojanen (0.41%)
- Erik Dannholm (0.41%)
- Hasse Walli (0.41%)
- Ilkka Hanski (0.41%)
- Ilkka Willman (0.41%)
- Pekka Leander (0.41%)
- Gösta Möller (0.41%)
- Kyösti Pellinen (0.41%)
Dominant nodes (excluded from chart)Markku Johansson 41.19%The Otto Donner Treatment 37.18%Jukka Linkola 12.46%
Influence Share (vs Direct Neighbours)
- This Post (5.26%)
- Markku Johansson (5.26%)
- The Otto Donner Treatment (5.26%)
- Eero Koivistoinen (5.26%)
- Esko Heikkinen (5.26%)
- Esko Linnavalli (5.26%)
- Esko Rosnell (5.26%)
- Juhani Aaltonen (5.26%)
- Christer Boustedt (5.26%)
- Don Bane (5.26%)
- Eero Ojanen (5.26%)
- Erik Dannholm (5.26%)
- Hasse Walli (5.26%)
- Ilkka Hanski (5.26%)
- Ilkka Willman (5.26%)
- Jukka Linkola (5.26%)
- Pekka Leander (5.26%)
- Gösta Möller (5.26%)
- Kyösti Pellinen (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, 5:33 AM
Analyzing Network Connections...
👁️ 39 Views
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