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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 24 [John Larroquette] *
256 [Boston Legal] *
25 [Candice Bergen] *
64 [Christian Clemenson] *
9 [Constance Zimmer] *
25 [Rhona Mitra] *
4 [Mark Valley] *
25 [Rene Auberjonois] *
9 [Monica Potter] *
1 [Gary Anthony Williams] *
1 [Julie Bowen] *
1 [Justin Mentell] *
1 [Meredith Eaton] *
1 [Saffron Burrows] *
1 [Tara Summers] *
4 [Taraji P. Henson]
)
= 7.96T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [John Larroquette] *
1 [Boston Legal] *
1 [Candice Bergen] *
1 [Christian Clemenson] *
1 [Constance Zimmer] *
1 [Rhona Mitra] *
1 [Mark Valley] *
1 [Rene Auberjonois] *
1 [Monica Potter] *
1 [Gary Anthony Williams] *
1 [Julie Bowen] *
1 [Justin Mentell] *
1 [Meredith Eaton] *
1 [Saffron Burrows] *
1 [Tara Summers] *
1 [Taraji P. Henson]
)
= 1.5
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Boston Legal 56.64%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)