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 *
( 36 [Ira Elliot] *
400 [The Fuzztones] *
4 [Bernard Yin] *
1 [Chris Harlock] *
81 [Elan Portnoy] *
1 [Gabriel Hammond] *
1 [Jake Cavaliere] *
1 [John Carlucci] *
1 [Johnny Devilla] *
1 [Jordan Tarlow] *
1 [Lana Loveland] *
1 [Marco Rivagli] *
1 [Michael Goglia (2)] *
1 [Michael Jay (4)] *
1 [Mike Czekaj] *
1 [Phil Arriagada] *
1 [Rob Louwers] *
1 [Roger Ward (5)] *
1 [Rudi Protrudi] *
1 [Deb O'Nair]
)
= 4.67M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Ira Elliot] *
1 [The Fuzztones] *
1 [Bernard Yin] *
1 [Chris Harlock] *
1 [Elan Portnoy] *
1 [Gabriel Hammond] *
1 [Jake Cavaliere] *
1 [John Carlucci] *
1 [Johnny Devilla] *
1 [Jordan Tarlow] *
1 [Lana Loveland] *
1 [Marco Rivagli] *
1 [Michael Goglia (2)] *
1 [Michael Jay (4)] *
1 [Mike Czekaj] *
1 [Phil Arriagada] *
1 [Rob Louwers] *
1 [Roger Ward (5)] *
1 [Rudi Protrudi] *
1 [Deb O'Nair]
)
= 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)The Fuzztones 74.35%Elan Portnoy 15.06%Ira Elliot 6.69%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)