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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 13 [...And Oceans] *
81 [Gloria Morti] *
81 [Pyry Hanski] *
9 [Eero Silvonen] *
16 [Juho Räihä] *
1 [Aki Salonen] *
1 [Jarmo Juurikka] *
1 [Jenni Kemppainen] *
1 [Juho Matikainen] *
1 [Psycho (31)] *
16 [Mika Aalto] *
9 [Jani Martikkala] *
16 [Sami Latva] *
16 [Janne Manninen (2)] *
9 [Timo Kontio] *
9 [Antti Simonen] *
4 [Petri Seikkula] *
4 [Teemu Saari (2)] *
1 [Anzhaar] *
9 [Kena Strömsholm]
)
= 2.11 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 13 [...And Oceans] *
1 [Gloria Morti] *
1 [Pyry Hanski] *
1 [Eero Silvonen] *
1 [Juho Räihä] *
1 [Aki Salonen] *
1 [Jarmo Juurikka] *
1 [Jenni Kemppainen] *
1 [Juho Matikainen] *
1 [Psycho (31)] *
1 [Mika Aalto] *
1 [Jani Martikkala] *
1 [Sami Latva] *
1 [Janne Manninen (2)] *
1 [Timo Kontio] *
1 [Antti Simonen] *
1 [Petri Seikkula] *
1 [Teemu Saari (2)] *
1 [Anzhaar] *
1 [Kena Strömsholm]
)
= 13
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.32%
(2.11 × 1016 overall)
Influence Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)...And Oceans 39.39%
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)