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, 4) = 4
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 3 = 12
Base_Influence (IV) = $inbound / $outbound = 4 / 3 = 1.3333
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 12 *
( 2 [Scarborough Artillery Volunteers Prize Band] *
30 [Tim Thomerson] *
9 [Detachment] *
1 [Faversham] *
1 [R.G.A.] *
1 [50th Lancashire Volunteers Band] *
1 [Knaresborough Volunteers Band] *
81 [Adrien Brody] *
16 [Sami Gayle]
)
= 8.4M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.3333 *
( 2 [Scarborough Artillery Volunteers Prize Band] *
1.2 [Tim Thomerson] *
1 [Detachment] *
1 [Faversham] *
1 [R.G.A.] *
1 [50th Lancashire Volunteers Band] *
1 [Knaresborough Volunteers Band] *
1 [Adrien Brody] *
1 [Sami Gayle]
)
= 3.2
Outbound
4
Tags on post
Inbound
3
Posts tagging this
Connections
9
Total nodes
Base Node Strength
12
Base Node Influence
1.3333
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Adrien Brody 52.60%Tim Thomerson 19.48%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)