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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 289 [Underworld: Evolution] *
1 [Tony Curran] *
4 [John Mann] *
4 [Derek Jacobi] *
121 [Bill Nighy] *
9 [Michael Sheen] *
16 [Brian Steele] *
9 [Richard Cetrone] *
9 [Steven Mackintosh] *
4 [Krsy Fox] *
1 [Attila Lovaghy] *
1 [Kaja Gjesdal] *
1 [Kate Beckinsale] *
1 [Mike Mukatis] *
1 [Scott McElroy] *
1 [Shane Brolly] *
1 [Zita Görög]
)
= 26.1B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Underworld: Evolution] *
1 [Tony Curran] *
1 [John Mann] *
1 [Derek Jacobi] *
1 [Bill Nighy] *
1 [Michael Sheen] *
1 [Brian Steele] *
1 [Richard Cetrone] *
1 [Steven Mackintosh] *
1 [Krsy Fox] *
1 [Attila Lovaghy] *
1 [Kaja Gjesdal] *
1 [Kate Beckinsale] *
1 [Mike Mukatis] *
1 [Scott McElroy] *
1 [Shane Brolly] *
1 [Zita Görög]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Underworld: Evolution 60.97%Bill Nighy 25.53%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
