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 *
( 144 [Nicholas Hoult] *
25 [Dave Franco] *
289 [Warm Bodies] *
49 [John Malkovich] *
25 [Rob Corddry] *
1 [Adam Driscoll] *
1 [Billie Calmeau] *
1 [Chris Cavener] *
1 [Cory Hardrict] *
1 [Daniel Rindress-Kay] *
1 [Felix Bergeron] *
1 [Jonathan Dubsky] *
4 [Lio Tipton] *
1 [Robert Reynolds] *
1 [Teresa Palmer] *
1 [Vincent Leclerc] *
1 [Josée Laviolette]
)
= 5.1B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Nicholas Hoult] *
1 [Dave Franco] *
1 [Warm Bodies] *
1 [John Malkovich] *
1 [Rob Corddry] *
1 [Adam Driscoll] *
1 [Billie Calmeau] *
1 [Chris Cavener] *
1 [Cory Hardrict] *
1 [Daniel Rindress-Kay] *
1 [Felix Bergeron] *
1 [Jonathan Dubsky] *
1 [Lio Tipton] *
1 [Robert Reynolds] *
1 [Teresa Palmer] *
1 [Vincent Leclerc] *
1 [Josée Laviolette]
)
= 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)Warm Bodies 52.74%Nicholas Hoult 26.28%John Malkovich 8.94%Dave Franco 4.56%Rob Corddry 4.56%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)