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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [Elizabeth Hawthorne] *
16 [Peter Hambleton] *
9 [John Bach] *
16 [Tony Goldwyn] *
256 [The Last Tattoo] *
25 [Danielle Cormack] *
1 [Jacqui McPherson] *
1 [Emily Perkins] *
1 [Joanne Mildenhall] *
1 [Peter Daube] *
1 [Katie Wolfe] *
1 [Stella Reid] *
1 [Kerry Fox] *
25 [Desmond Kelly] *
1 [Michelle Huirama] *
1 [Donna Akersten]
)
= 7.37B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Elizabeth Hawthorne] *
1 [Peter Hambleton] *
1 [John Bach] *
1 [Tony Goldwyn] *
1 [The Last Tattoo] *
1 [Danielle Cormack] *
1 [Jacqui McPherson] *
1 [Emily Perkins] *
1 [Joanne Mildenhall] *
1 [Peter Daube] *
1 [Katie Wolfe] *
1 [Stella Reid] *
1 [Kerry Fox] *
1 [Desmond Kelly] *
1 [Michelle Huirama] *
1 [Donna Akersten]
)
= 1.25
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Last Tattoo 67.90%Danielle Cormack 6.63%Desmond Kelly 6.63%Elizabeth Hawthorne 5.31%Peter Hambleton 4.24%Tony Goldwyn 4.24%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)