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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Victor Izay] *
9 [Martin Lawrence] *
25 [John Travolta] *
64 [Marisa Tomei] *
4 [Jay Scully] *
36 [Peter Fonda] *
441 [Wild Hogs] *
36 [Ray Liotta] *
1 [Cymfenee] *
1 [Dominic Janes] *
16 [Jason Sklar] *
16 [Jill Hennessy] *
9 [Kevin Durand] *
25 [M.C. Gainey] *
16 [Margaret Travolta] *
16 [Randy Sklar] *
49 [Stephen Tobolowsky] *
9 [Tichina Arnold] *
16 [Tim Allen] *
36 [William H. Macy] *
9 [Héctor Jiménez]
)
= 1.33 x 10^25
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Victor Izay] *
1 [Martin Lawrence] *
1 [John Travolta] *
1 [Marisa Tomei] *
1 [Jay Scully] *
1 [Peter Fonda] *
1 [Wild Hogs] *
1 [Ray Liotta] *
1 [Cymfenee] *
1 [Dominic Janes] *
1 [Jason Sklar] *
1 [Jill Hennessy] *
1 [Kevin Durand] *
1 [M.C. Gainey] *
1 [Margaret Travolta] *
1 [Randy Sklar] *
1 [Stephen Tobolowsky] *
1 [Tichina Arnold] *
1 [Tim Allen] *
1 [William H. Macy] *
1 [Héctor Jiménez]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
21
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.12%
(1.33 × 1025 overall)
Dominant nodes (excluded from chart)Wild Hogs 52.07%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)