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 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 132 [INXS] *
9 [Terence Trent D'Arby] *
1 [Andrew Farriss] *
4 [Ciaran Gribbin] *
1 [Garry Gary Beers] *
1 [J. D. Fortune] *
4 [Jon Stevens] *
9 [Kirk Pengilly] *
9 [Michael Hutchence] *
1 [Jason Dean Bennison] *
36 [Pub rock (Australia)]
)
= 55.43M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.09 [INXS] *
1 [Terence Trent D'Arby] *
1 [Andrew Farriss] *
1 [Ciaran Gribbin] *
1 [Garry Gary Beers] *
1 [J. D. Fortune] *
1 [Jon Stevens] *
1 [Kirk Pengilly] *
1 [Michael Hutchence] *
1 [Jason Dean Bennison] *
1 [Pub rock (Australia)]
)
= 1.09
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
11
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)INXS 63.46%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)