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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 25 [Matt McCoy] *
36 [George Gaynes] *
4 [Anna Mathias] *
16 [Michael Winslow] *
9 [Kenneth Mars] *
361 [Police Academy 6: City Under Siege] *
4 [David Graf] *
4 [Leslie Easterbrook] *
4 [Arthur Batanides] *
1 [Beans Morocco] *
1 [Billie Bird] *
1 [Brian Seeman] *
1 [Bruce Mahler] *
1 [Bubba Smith] *
16 [Darwyn Swalve] *
1 [Gerrit Graham] *
1 [Lance Kinsey] *
4 [G.W. Bailey] *
1 [Marion Ramsey]
)
= 766.54B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Matt McCoy] *
1 [George Gaynes] *
1 [Anna Mathias] *
1 [Michael Winslow] *
1 [Kenneth Mars] *
1 [Police Academy 6: City Under Siege] *
1 [David Graf] *
1 [Leslie Easterbrook] *
1 [Arthur Batanides] *
1 [Beans Morocco] *
1 [Billie Bird] *
1 [Brian Seeman] *
1 [Bruce Mahler] *
1 [Bubba Smith] *
1 [Darwyn Swalve] *
1 [Gerrit Graham] *
1 [Lance Kinsey] *
1 [G.W. Bailey] *
1 [Marion Ramsey]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Police Academy 6: City Under Siege 73.37%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)