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 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 100 [As You Drown] *
36 [Mattias Ljung] *
169 [Christian Älvestam] *
16 [Henrik Ohlsson] *
4 [Fredrik Schälin] *
1 [Mattias Holmberg] *
4 [Simon Exner] *
1 [Henrik Blomqvist (2)] *
1 [Martin Latvala] *
1 [Mikael Ã
kerstrom] *
25 [Night Crowned] *
16 [Janne Jaloma] *
4 [Johan Eskilsson] *
1 [Ken Romlin] *
4 [Marcus Sunesson]
)
= 3.99T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [As You Drown] *
1 [Mattias Ljung] *
1 [Christian Älvestam] *
1 [Henrik Ohlsson] *
1 [Fredrik Schälin] *
1 [Mattias Holmberg] *
1 [Simon Exner] *
1 [Henrik Blomqvist (2)] *
1 [Martin Latvala] *
1 [Mikael Ã
kerstrom] *
1 [Night Crowned] *
1 [Janne Jaloma] *
1 [Johan Eskilsson] *
1 [Ken Romlin] *
1 [Marcus Sunesson]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
15
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Christian Älvestam 43.67%As You Drown 25.84%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)