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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 16 [Mark Kozelek] *
4 [Jimmy Fallon] *
256 [Philip Seymour Hoffman] *
400 [Almost Famous] *
64 [Anna Paquin] *
9 [Kate Hudson] *
9 [Jason Lee] *
9 [Noah Taylor] *
9 [Tom Riis Farrell] *
49 [Billy Crudup] *
49 [Frances McDormand] *
9 [Kevin Sussman] *
16 [Bijou Phillips] *
16 [John Fedevich] *
4 [Liz Stauber] *
16 [Michael Angarano] *
1 [Olivia Rosewood] *
1 [Zooey Deschanel] *
9 [Patrick Fugit] *
16 [Mark Pellington]
)
= 1.40 x 10^23
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Mark Kozelek] *
1 [Jimmy Fallon] *
1 [Philip Seymour Hoffman] *
1 [Almost Famous] *
1 [Anna Paquin] *
1 [Kate Hudson] *
1 [Jason Lee] *
1 [Noah Taylor] *
1 [Tom Riis Farrell] *
1 [Billy Crudup] *
1 [Frances McDormand] *
1 [Kevin Sussman] *
1 [Bijou Phillips] *
1 [John Fedevich] *
1 [Liz Stauber] *
1 [Michael Angarano] *
1 [Olivia Rosewood] *
1 [Zooey Deschanel] *
1 [Patrick Fugit] *
1 [Mark Pellington]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.10%
(1.40 × 1023 overall)
Dominant nodes (excluded from chart)Almost Famous 41.54%Philip Seymour Hoffman 26.58%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)