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 *
( 42 [Halle Berry] *
196 [Robert Downey Jr.] *
16 [Bernard Hill] *
16 [Penélope Cruz] *
64 [John Carroll Lynch] *
324 [Gothika] *
16 [Amy Sloan] *
9 [Anana Rydvald] *
1 [Andrea Sheldon] *
1 [Benz Antoine] *
4 [Bronwen Mantel] *
1 [Dorian Harewood] *
1 [Kathleen Mackey] *
1 [Laura Mitchell] *
16 [Michel Perron] *
1 [Charles S. Dutton] *
1 [Matthew G. Taylor] *
1 [Noel Burton]
)
= 402.73T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [Halle Berry] *
1 [Robert Downey Jr.] *
1 [Bernard Hill] *
1 [Penélope Cruz] *
1 [John Carroll Lynch] *
1 [Gothika] *
1 [Amy Sloan] *
1 [Anana Rydvald] *
1 [Andrea Sheldon] *
1 [Benz Antoine] *
1 [Bronwen Mantel] *
1 [Dorian Harewood] *
1 [Kathleen Mackey] *
1 [Laura Mitchell] *
1 [Michel Perron] *
1 [Charles S. Dutton] *
1 [Matthew G. Taylor] *
1 [Noel Burton]
)
= 1.17
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)Gothika 45.51%Robert Downey Jr. 27.53%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)