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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 30 [John Saxon] *
342 [Black Christmas] *
1 [Olivia Hussey] *
25 [Lacey Chabert] *
9 [Caleb Eberhardt] *
4 [Leslie Carlson] *
1 [Art Hindle] *
1 [Doug McGrath] *
1 [Jack Van Evera] *
1 [James Edmond] *
1 [Keir Dullea] *
1 [Les Rubie] *
1 [Lynne Griffin] *
1 [Marian Waldman] *
1 [Martha Gibson] *
1 [Michael Rapport] *
1 [Robert Warner] *
20 [Margot Kidder]
)
= 184.68M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.2 [John Saxon] *
1.06 [Black Christmas] *
1 [Olivia Hussey] *
1 [Lacey Chabert] *
1 [Caleb Eberhardt] *
1 [Leslie Carlson] *
1 [Art Hindle] *
1 [Doug McGrath] *
1 [Jack Van Evera] *
1 [James Edmond] *
1 [Keir Dullea] *
1 [Les Rubie] *
1 [Lynne Griffin] *
1 [Marian Waldman] *
1 [Martha Gibson] *
1 [Michael Rapport] *
1 [Robert Warner] *
0.8 [Margot Kidder]
)
= 1.01
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Black Christmas 77.20%John Saxon 6.77%Lacey Chabert 5.64%Margot Kidder 4.51%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)