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 *
( 16 [Paul Hampton] *
64 [Clint Eastwood] *
25 [Peter Jason] *
16 [J.C. Quinn] *
4 [Richard Venture] *
9 [Moses Gunn] *
400 [Heartbreak Ridge] *
16 [Nicholas Worth] *
4 [Boyd Gaines] *
16 [Darwyn Swalve] *
4 [Marsha Mason] *
1 [Arlen Dean Snyder] *
1 [Bo Svenson] *
1 [Eileen Heckart] *
1 [Mario Van Peebles] *
1 [Peter Koch] *
4 [Tom Villard] *
1 [Rodney Hill] *
1 [Vincent Irizarry] *
1 [Ramón Franco]
)
= 96.64T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Paul Hampton] *
1 [Clint Eastwood] *
1 [Peter Jason] *
1 [J.C. Quinn] *
1 [Richard Venture] *
1 [Moses Gunn] *
1 [Heartbreak Ridge] *
1 [Nicholas Worth] *
1 [Boyd Gaines] *
1 [Darwyn Swalve] *
1 [Marsha Mason] *
1 [Arlen Dean Snyder] *
1 [Bo Svenson] *
1 [Eileen Heckart] *
1 [Mario Van Peebles] *
1 [Peter Koch] *
1 [Tom Villard] *
1 [Rodney Hill] *
1 [Vincent Irizarry] *
1 [Ramón Franco]
)
= 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)Heartbreak Ridge 68.14%Clint Eastwood 10.90%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)