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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 100 [John Cipollina] *
225 [Quicksilver Messenger Service] *
9 [Zero (45)] *
4 [Terry And The Pirates] *
4 [The Nick Gravenites John Cipollina Band] *
4 [Fish 'N Chips (2)] *
9 [The Barry "The Fish" Melton Band] *
1 [Problem Child (14)] *
4 [Raven (13)] *
4 [Thunder & Lightning (2)]
)
= 1.87B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [John Cipollina] *
1 [Quicksilver Messenger Service] *
1 [Zero (45)] *
1 [Terry And The Pirates] *
1 [The Nick Gravenites John Cipollina Band] *
1 [Fish 'N Chips (2)] *
1 [The Barry "The Fish" Melton Band] *
1 [Problem Child (14)] *
1 [Raven (13)] *
1 [Thunder & Lightning (2)]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
10
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Quicksilver Messenger Service 61.64%John Cipollina 27.40%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)