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 *
( 20 [Juliet Cowan] *
1 [Alexander Armstrong] *
1 [Daniel Anthony] *
4 [Elisabeth Sladen] *
9 [John Leeson] *
324 [The Sarah Jane Adventures] *
9 [Paul Kasey] *
4 [Ace Bhatti] *
16 [Anjli Mohindra] *
1 [Jocelyn Jee Esien] *
16 [Joseph Millson] *
1 [Mina Anwar] *
1 [Paul Marc Davis] *
1 [Philip Hurd-Wood] *
1 [Ruari Mears] *
1 [Sinead Michael] *
1 [Tommy Knight] *
4 [Yasmin Paige]
)
= 8.6B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Juliet Cowan] *
1 [Alexander Armstrong] *
1 [Daniel Anthony] *
1 [Elisabeth Sladen] *
1 [John Leeson] *
1 [The Sarah Jane Adventures] *
1 [Paul Kasey] *
1 [Ace Bhatti] *
1 [Anjli Mohindra] *
1 [Jocelyn Jee Esien] *
1 [Joseph Millson] *
1 [Mina Anwar] *
1 [Paul Marc Davis] *
1 [Philip Hurd-Wood] *
1 [Ruari Mears] *
1 [Sinead Michael] *
1 [Tommy Knight] *
1 [Yasmin Paige]
)
= 1.25
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)The Sarah Jane Adventures 77.88%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)