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 *
( 121 [Liam Neeson] *
16 [Lili Taylor] *
121 [Owen Wilson] *
16 [Julie Harris] *
64 [Bruce Dern] *
361 [The Haunting] *
25 [M.C. Gainey] *
25 [Virginia Madsen] *
1 [Alessandra Benjamin] *
9 [Catherine Zeta-Jones] *
1 [Hadley Eure] *
1 [Kadina de Elejalde] *
1 [Marian Seldes] *
1 [Michael Cavanaugh] *
1 [Saul Priever] *
1 [Karen S. Gregan] *
1 [Todd Field] *
1 [Tom Irwin] *
4 [Alix Koromzay]
)
= 1.95 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Liam Neeson] *
1 [Lili Taylor] *
1 [Owen Wilson] *
1 [Julie Harris] *
1 [Bruce Dern] *
1 [The Haunting] *
1 [M.C. Gainey] *
1 [Virginia Madsen] *
1 [Alessandra Benjamin] *
1 [Catherine Zeta-Jones] *
1 [Hadley Eure] *
1 [Kadina de Elejalde] *
1 [Marian Seldes] *
1 [Michael Cavanaugh] *
1 [Saul Priever] *
1 [Karen S. Gregan] *
1 [Todd Field] *
1 [Tom Irwin] *
1 [Alix Koromzay]
)
= 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)
0.13%
(1.95 × 1015 overall)
Dominant nodes (excluded from chart)The Haunting 46.76%Liam Neeson 15.67%Owen Wilson 15.67%Bruce Dern 8.29%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)