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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 400 [Popeda] *
9 [Lacu Lahtinen] *
4 [Olli Herman] *
100 [Costello Hautamäki] *
16 [Jyrki Melartin] *
4 [Kari Holm] *
81 [Ari Toikka] *
1 [Arska Rautajoki] *
1 [Arwo Mikkonen] *
1 [Eebo Lehtinen] *
1 [Ilpo Ainiala] *
1 [Jani Kemppinen] *
1 [Jatsi Puukka] *
1 [Kai Holm] *
1 [Pate Kivinen] *
1 [Safka Pekkonen] *
1 [Alex Hautamäki] *
4 [Jukkis Järvinen] *
4 [Pate Mustajärvi] *
4 [Törrö Tapaninen]
)
= 477.76B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Popeda] *
1 [Lacu Lahtinen] *
1 [Olli Herman] *
1 [Costello Hautamäki] *
1 [Jyrki Melartin] *
1 [Kari Holm] *
1 [Ari Toikka] *
1 [Arska Rautajoki] *
1 [Arwo Mikkonen] *
1 [Eebo Lehtinen] *
1 [Ilpo Ainiala] *
1 [Jani Kemppinen] *
1 [Jatsi Puukka] *
1 [Kai Holm] *
1 [Pate Kivinen] *
1 [Safka Pekkonen] *
1 [Alex Hautamäki] *
1 [Jukkis Järvinen] *
1 [Pate Mustajärvi] *
1 [Törrö Tapaninen]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Popeda 62.79%Costello Hautamäki 15.70%Ari Toikka 12.72%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)