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, 2) = 2
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 1 = 2
Base_Influence (IV) = $inbound / $outbound = 2 / 1 = 2
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 2 *
( 4 [Denny Laine] *
4 [Sid Bernstein] *
361 [The Moody Blues] *
16 [Mike Pinder] *
4 [Paul Bliss] *
25 [Patrick Moraz] *
64 [Rod Clark] *
9 [Graeme Edge] *
4 [John Lodge] *
9 [Ray Thomas] *
36 [Rodney Clark] *
1 [Clint Warwick] *
9 [Justin Hayward] *
16 [Brian Frederick Hines] *
1 [Bias Boshell] *
1 [Michael Nicholls] *
1 [Norda Mullen] *
1 [Rod Clark (2)] *
1 [Julie Ragins]
)
= 1.99 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 1 [Denny Laine] *
1 [Sid Bernstein] *
1 [The Moody Blues] *
1 [Mike Pinder] *
1 [Paul Bliss] *
1 [Patrick Moraz] *
1 [Rod Clark] *
1 [Graeme Edge] *
1 [John Lodge] *
1 [Ray Thomas] *
1 [Rodney Clark] *
1 [Clint Warwick] *
1 [Justin Hayward] *
1 [Brian Frederick Hines] *
1 [Bias Boshell] *
1 [Michael Nicholls] *
1 [Norda Mullen] *
1 [Rod Clark (2)] *
1 [Julie Ragins]
)
= 2
Outbound
2
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
2
Base Node Influence
2
Strength Share (vs Direct Neighbours)
0.35%
(1.99 × 1015 overall)
Dominant nodes (excluded from chart)The Moody Blues 63.44%Rod Clark 11.25%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Bristol Hippodrome
BROKEN LINK