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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 36 [Justin Greaves] *
4 [Andy Baker (3)] *
4 [Brian Roe] *
4 [Bruce Riddell] *
4 [George Jenkins (3)] *
400 [varukers] *
9 [Kev Frost] *
4 [Anthony Martin (3)] *
4 [Brian Ansell] *
4 [Damien Thompson (2)] *
4 [Garry Maloney] *
4 [Graham Kerr] *
4 [Ian Smith (18)] *
4 [Keith Gilbert (2)] *
9 [Kieran Plunkett] *
4 [Les Doherty] *
9 [Les Duly] *
4 [Mark Briscoe] *
9 [Mark Greenwell] *
9 [Marvin Gauntlett]
)
= 5.71 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Justin Greaves] *
1 [Andy Baker (3)] *
1 [Brian Roe] *
1 [Bruce Riddell] *
1 [George Jenkins (3)] *
1 [varukers] *
1 [Kev Frost] *
1 [Anthony Martin (3)] *
1 [Brian Ansell] *
1 [Damien Thompson (2)] *
1 [Garry Maloney] *
1 [Graham Kerr] *
1 [Ian Smith (18)] *
1 [Keith Gilbert (2)] *
1 [Kieran Plunkett] *
1 [Les Doherty] *
1 [Les Duly] *
1 [Mark Briscoe] *
1 [Mark Greenwell] *
1 [Marvin Gauntlett]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.19%
(5.71 × 1016 overall)
Dominant nodes (excluded from chart)varukers 74.91%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)