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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 256 [Kaledon] *
16 [David Folchitto] *
1 [Alex Mele] *
1 [Daniele Fuligni] *
1 [Paolo Campitelli] *
1 [Tommaso Nemesio] *
36 [Michele Guaitoli] *
4 [Massimiliano Santori] *
1 [Anthony Drago (2)] *
1 [Dario Sacco] *
1 [Enrico Sandri] *
1 [Fabio Bernardi] *
1 [Luca Marini (2)] *
1 [Manuele Di Ascenzo] *
1 [Marco Palazzi] *
1 [Paolo Lezziroli]
)
= 589.8K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Kaledon] *
1 [David Folchitto] *
1 [Alex Mele] *
1 [Daniele Fuligni] *
1 [Paolo Campitelli] *
1 [Tommaso Nemesio] *
1 [Michele Guaitoli] *
1 [Massimiliano Santori] *
1 [Anthony Drago (2)] *
1 [Dario Sacco] *
1 [Enrico Sandri] *
1 [Fabio Bernardi] *
1 [Luca Marini (2)] *
1 [Manuele Di Ascenzo] *
1 [Marco Palazzi] *
1 [Paolo Lezziroli]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Kaledon 78.77%Michele Guaitoli 11.08%David Folchitto 4.92%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)