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 *
( 256 [Robert De Niro] *
9 [John Savage] *
324 [The Deer Hunter] *
36 [Joe Grifasi] *
81 [Christopher Walken] *
25 [Meryl Streep] *
25 [George Dzundza] *
4 [Amy Wright] *
1 [Chuck Aspegren] *
1 [Jack Scardino] *
16 [John Cazale] *
1 [Mady Kaplan] *
1 [Mary Ann Haenel] *
1 [Pierre Segui] *
1 [Richard Kuss] *
1 [Rutanya Alda] *
9 [Shirley Stoler] *
1 [Victoria Karnafel]
)
= 783.64T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Robert De Niro] *
1 [John Savage] *
1 [The Deer Hunter] *
1 [Joe Grifasi] *
1 [Christopher Walken] *
1 [Meryl Streep] *
1 [George Dzundza] *
1 [Amy Wright] *
1 [Chuck Aspegren] *
1 [Jack Scardino] *
1 [John Cazale] *
1 [Mady Kaplan] *
1 [Mary Ann Haenel] *
1 [Pierre Segui] *
1 [Richard Kuss] *
1 [Rutanya Alda] *
1 [Shirley Stoler] *
1 [Victoria Karnafel]
)
= 1
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)The Deer Hunter 40.81%Robert De Niro 32.24%Christopher Walken 10.20%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)