How is this calculated?
The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.
// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 20 [Gerald Downey] *
81 [Kiuas] *
1 [Atte Tanskanen] *
4 [Ilja Jalkanen] *
1 [Markku Näreneva] *
1 [Teemu Tuominen] *
36 [Asim Searah] *
100 [Rainer Tuomikanto] *
4 [Jari Pailamo] *
1 [Kiuas - Myötätuulirock] *
4 [Pekka Heino] *
121 [Kimmo Blom] *
1 [Marko Niskala] *
1 [Pekka Lampinen] *
1 [Sami Norrbacka] *
16 [Torsti Spoof] *
1 [Tuomas Heikkinen] *
9 [Valtteri Revonkorpi] *
90 [Leverage]
)
= 2.34 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Gerald Downey] *
1 [Kiuas] *
1 [Atte Tanskanen] *
1 [Ilja Jalkanen] *
1 [Markku Näreneva] *
1 [Teemu Tuominen] *
1 [Asim Searah] *
1 [Rainer Tuomikanto] *
1 [Jari Pailamo] *
1 [Kiuas - Myötätuulirock] *
1 [Pekka Heino] *
1 [Kimmo Blom] *
1 [Marko Niskala] *
1 [Pekka Lampinen] *
1 [Sami Norrbacka] *
1 [Torsti Spoof] *
1 [Tuomas Heikkinen] *
1 [Valtteri Revonkorpi] *
0.9 [Leverage]
)
= 1.13
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.80%
(2.34 × 1015 overall)
Dominant nodes (excluded from chart)Kimmo Blom 24.35%Rainer Tuomikanto 20.12%Leverage 18.11%Kiuas 16.30%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
