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 *
( 16 [Elisabeth Fraser] *
9 [Sidney Poitier] *
25 [Ivan Dixon] *
324 [A Patch of Blue] *
1 [Debi Storm] *
1 [Elizabeth Hartman] *
1 [Fred Holliday] *
1 [Jack Gordon] *
1 [Jimmie Horan] *
1 [John Qualen] *
1 [Kelly Flynn] *
1 [Maria Haro] *
1 [Renata Vanni] *
1 [Saverio LoMedico] *
1 [Shelley Winters] *
1 [Tom Curtis] *
1 [Vincent Chase] *
1 [William Burnside]
)
= 1.17M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Elisabeth Fraser] *
1 [Sidney Poitier] *
1 [Ivan Dixon] *
1 [A Patch of Blue] *
1 [Debi Storm] *
1 [Elizabeth Hartman] *
1 [Fred Holliday] *
1 [Jack Gordon] *
1 [Jimmie Horan] *
1 [John Qualen] *
1 [Kelly Flynn] *
1 [Maria Haro] *
1 [Renata Vanni] *
1 [Saverio LoMedico] *
1 [Shelley Winters] *
1 [Tom Curtis] *
1 [Vincent Chase] *
1 [William Burnside]
)
= 1
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)A Patch of Blue 83.29%Ivan Dixon 6.43%Elisabeth Fraser 4.11%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)