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, 15) = 15
$outbound = max(1, 15) = 15
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 15 * 15 = 225
Base_Influence (IV) = $inbound / $outbound = 15 / 15 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 225 *
( 4 [Federico Paulovich] *
4 [Elisabetta Rossi (2)] *
4 [Maurizio Cardullo] *
1 [Davide Cicalese] *
1 [Fabio Gatto] *
1 [Gabriel Consiglio] *
1 [Luca Rossi (5)] *
1 [Mac (94)] *
1 [Marco Ballabio] *
1 [Mattia Pavanello] *
1 [Mirko Fustinoni] *
1 [Paolo Cattaneo (2)] *
1 [Riccardo Brumat] *
1 [Simone Sgarella] *
1 [Stefano Centineo] *
36 [Destrage] *
196 [Folkstone]
)
= 101.61M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Federico Paulovich] *
1 [Elisabetta Rossi (2)] *
1 [Maurizio Cardullo] *
1 [Davide Cicalese] *
1 [Fabio Gatto] *
1 [Gabriel Consiglio] *
1 [Luca Rossi (5)] *
1 [Mac (94)] *
1 [Marco Ballabio] *
1 [Mattia Pavanello] *
1 [Mirko Fustinoni] *
1 [Paolo Cattaneo (2)] *
1 [Riccardo Brumat] *
1 [Simone Sgarella] *
1 [Stefano Centineo] *
1 [Destrage] *
1 [Folkstone]
)
= 1
Outbound
15
Tags on post
Inbound
15
Posts tagging this
Connections
17
Total nodes
Base Node Strength
225
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Folkstone 40.75%Destrage 7.48%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)