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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 24 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 25 [Brandon Molale] *
4 [Tom Wright] *
289 [Granite Flats] *
1 [Annie Tedesco] *
1 [Cardiff Gerhardt] *
16 [Charlie Plummer] *
16 [David Naughton] *
1 [Ethan Ross Wills] *
1 [Jessica Wright] *
16 [Jonathan Morgan Heit] *
9 [Maia Guest] *
1 [Malia Tyler] *
1 [Mitchell Fink] *
1 [Peter Murnik] *
1 [Richard Gunn] *
1 [Scott Christopher] *
1 [Taryn O'Neill] *
16 [Phill Lewis] *
4 [Kicking & Screaming] *
4 [Meet Dave] *
4 [The Lost Boys] *
1 [Joe's Apartment] *
36 [Floyd Levine] *
16 [Barnard Hughes]
)
= 1.57 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Brandon Molale] *
1 [Tom Wright] *
1 [Granite Flats] *
1 [Annie Tedesco] *
1 [Cardiff Gerhardt] *
1 [Charlie Plummer] *
1 [David Naughton] *
1 [Ethan Ross Wills] *
1 [Jessica Wright] *
1 [Jonathan Morgan Heit] *
1 [Maia Guest] *
1 [Malia Tyler] *
1 [Mitchell Fink] *
1 [Peter Murnik] *
1 [Richard Gunn] *
1 [Scott Christopher] *
1 [Taryn O'Neill] *
1 [Phill Lewis] *
1 [Kicking & Screaming] *
1 [Meet Dave] *
1 [The Lost Boys] *
1 [Joe's Apartment] *
1 [Floyd Levine] *
1 [Barnard Hughes]
)
= 1
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
24
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
5.09%
(1.57 × 1016 overall)
Dominant nodes (excluded from chart)Granite Flats 58.86%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)