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 *
( 81 [Alvin Gibbs] *
16 [Belvy K] *
25 [Alan Campbell] *
9 [Alan Lee (7)] *
9 [Andy Frantic] *
9 [Benjamin Butler] *
9 [Brian Barnes (3)] *
9 [Clara Wiseman] *
16 [Darrell Bath] *
9 [Dave Farrelly] *
16 [David Ayer] *
16 [David Charles Perez] *
16 [David Lloyd (10)] *
9 [Geoff Sewell (3)] *
16 [Gregor Kramer] *
9 [Jacek Ostoya] *
9 [James Moncur] *
9 [Jamie Oliver (2)] *
400 [The UK Subs] *
1 [Jason DulldrumsShow more]
)
= 4.74 x 10^22
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Alvin Gibbs] *
1 [Belvy K] *
1 [Alan Campbell] *
1 [Alan Lee (7)] *
1 [Andy Frantic] *
1 [Benjamin Butler] *
1 [Brian Barnes (3)] *
1 [Clara Wiseman] *
1 [Darrell Bath] *
1 [Dave Farrelly] *
1 [David Ayer] *
1 [David Charles Perez] *
1 [David Lloyd (10)] *
1 [Geoff Sewell (3)] *
1 [Gregor Kramer] *
1 [Jacek Ostoya] *
1 [James Moncur] *
1 [Jamie Oliver (2)] *
1 [The UK Subs] *
1 [Jason DulldrumsShow more]
)
= 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)
0.14%
(4.74 × 1022 overall)
Dominant nodes (excluded from chart)The UK Subs 57.64%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)