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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 16 [Steve Tyrell] *
16 [William Sanderson] *
16 [Susan Sarandon] *
4 [Anthony Heald] *
9 [Mary-Louise Parker] *
25 [Tommy Lee Jones] *
25 [Ossie Davis] *
121 [Will Patton] *
441 [The Client] *
36 [William H. Macy] *
64 [Bradley Whitford] *
9 [J.T. Walsh] *
9 [John Diehl] *
4 [Micole Mercurio] *
25 [Anthony LaPaglia] *
16 [Ruby Wilson] *
9 [Kimberly Scott] *
4 [Kim Coates] *
4 [Brad Renfro] *
1 [David Speck] *
1 [Walter Olkewicz]
)
= 2.11 x 10^23
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Steve Tyrell] *
1 [William Sanderson] *
1 [Susan Sarandon] *
1 [Anthony Heald] *
1 [Mary-Louise Parker] *
1 [Tommy Lee Jones] *
1 [Ossie Davis] *
1 [Will Patton] *
1 [The Client] *
1 [William H. Macy] *
1 [Bradley Whitford] *
1 [J.T. Walsh] *
1 [John Diehl] *
1 [Micole Mercurio] *
1 [Anthony LaPaglia] *
1 [Ruby Wilson] *
1 [Kimberly Scott] *
1 [Kim Coates] *
1 [Brad Renfro] *
1 [David Speck] *
1 [Walter Olkewicz]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
21
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.12%
(2.11 × 1023 overall)
Dominant nodes (excluded from chart)The Client 51.52%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)