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 [Mick Walter] *
4 [Mark Aiken] *
1 [Nina Conti] *
36 [Omid Djalili] *
16 [Dylan Moran] *
25 [Nick Frost] *
9 [Tony Way] *
324 [Black Books] *
1 [Ben Homewood] *
1 [Bill Bailey] *
1 [Daisy Campbell] *
1 [Howard Coggins] *
25 [Jessica Hynes] *
1 [John Arthur] *
1 [Paul Beech] *
1 [Rose Keegan] *
1 [Terry Bird] *
1 [Tony Bluto]
)
= 83.98B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Mick Walter] *
1 [Mark Aiken] *
1 [Nina Conti] *
1 [Omid Djalili] *
1 [Dylan Moran] *
1 [Nick Frost] *
1 [Tony Way] *
1 [Black Books] *
1 [Ben Homewood] *
1 [Bill Bailey] *
1 [Daisy Campbell] *
1 [Howard Coggins] *
1 [Jessica Hynes] *
1 [John Arthur] *
1 [Paul Beech] *
1 [Rose Keegan] *
1 [Terry Bird] *
1 [Tony Bluto]
)
= 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)Black Books 68.94%Omid Djalili 7.66%Nick Frost 5.32%Jessica Hynes 5.32%Mick Walter 4.26%Dylan Moran 3.40%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)