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, 9) = 9
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 8 = 72
Base_Influence (IV) = $inbound / $outbound = 9 / 8 = 1.125
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 72 *
( 1 [Provinssirock] *
1 [Cultural heritage monuments in Seinäjoki] *
1 [Districts of Seinäjoki] *
1 [Parks in Seinäjoki] *
4 [Seinäjoki Parish] *
1 [Seinäjoki University of Applied Sciences] *
1 [Squares in Seinäjoki] *
1 [Streets in Seinäjoki] *
1 [Kirkonkranni]
)
= 288
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.125 *
( 1 [Provinssirock] *
1 [Cultural heritage monuments in Seinäjoki] *
1 [Districts of Seinäjoki] *
1 [Parks in Seinäjoki] *
1 [Seinäjoki Parish] *
1 [Seinäjoki University of Applied Sciences] *
1 [Squares in Seinäjoki] *
1 [Streets in Seinäjoki] *
1 [Kirkonkranni]
)
= 1.13
Outbound
9
Tags on post
Inbound
8
Posts tagging this
Connections
9
Total nodes
Base Node Strength
72
Base Node Influence
1.125
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Sports in Seinäjoki
BROKEN LINK