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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 25 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 6 [Andrea Locatelli] *
196 [Folkstone] *
4 [Luca Arzuffi] *
1 [Chiara De Sio] *
1 [Davide Gherardi (2)] *
4 [Elisabetta Rossi (2)] *
1 [Federico Maffei] *
1 [Lorenzo Marchesi] *
1 [Luca Bonometti] *
1 [Marco Forese] *
1 [Matteo Frigeni] *
4 [Maurizio Cardullo] *
1 [Roberta Rota] *
1 [Silvia Bonino] *
121 [SpellBlast] *
9 [Michele Olmi] *
1 [Daniele Caravina] *
1 [Dest (7)] *
1 [Ivan Castelli] *
1 [Jonathan Spagnuolo] *
1 [Manuel Togni] *
1 [Marco Castellano] *
1 [Remo Baldi] *
1 [Xavier Rota] *
1 [The Moor]
)
= 737.66M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Andrea Locatelli] *
1 [Folkstone] *
1 [Luca Arzuffi] *
1 [Chiara De Sio] *
1 [Davide Gherardi (2)] *
1 [Elisabetta Rossi (2)] *
1 [Federico Maffei] *
1 [Lorenzo Marchesi] *
1 [Luca Bonometti] *
1 [Marco Forese] *
1 [Matteo Frigeni] *
1 [Maurizio Cardullo] *
1 [Roberta Rota] *
1 [Silvia Bonino] *
1 [SpellBlast] *
1 [Michele Olmi] *
1 [Daniele Caravina] *
1 [Dest (7)] *
1 [Ivan Castelli] *
1 [Jonathan Spagnuolo] *
1 [Manuel Togni] *
1 [Marco Castellano] *
1 [Remo Baldi] *
1 [Xavier Rota] *
1 [The Moor]
)
= 1.5
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
25
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Folkstone 52.83%SpellBlast 32.61%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)