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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 324 [The Man Who Came to Dinner] *
25 [Grant Mitchell] *
256 [Arsenic and Old Lace] *
4 [Dinner at Eight] *
1 [The Case of the Howling Dog] *
16 [Pierre Watkin] *
289 [Creature with the Atom Brain] *
1 [Bill Cracks Down] *
1 [The Story of Seabiscuit]
)
= 153.41B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Man Who Came to Dinner] *
1 [Grant Mitchell] *
1 [Arsenic and Old Lace] *
1 [Dinner at Eight] *
1 [The Case of the Howling Dog] *
1 [Pierre Watkin] *
1 [Creature with the Atom Brain] *
1 [Bill Cracks Down] *
1 [The Story of Seabiscuit]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
9
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Man Who Came to Dinner 35.18%Creature with the Atom Brain 31.38%Arsenic and Old Lace 27.80%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)