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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 289 [Candlemass] *
169 [Jörgen Sandström] *
81 [Jejo Perković] *
64 [Michael Amott] *
4 [Jan Lindh] *
36 [Leif Edling] *
1 [Mats Björkman] *
9 [Messiah Marcolin] *
49 [Thomas Vikström] *
4 [Carl Westholm] *
100 [Mats Levén] *
121 [Mike Wead] *
1 [Anthony Philip Harford] *
1 [Christian Weberyd] *
1 [Johan Langquist] *
1 [Johnny Reinholm] *
1 [Patrik Instedt]
)
= 7.78 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Candlemass] *
1 [Jörgen Sandström] *
1 [Jejo Perković] *
1 [Michael Amott] *
1 [Jan Lindh] *
1 [Leif Edling] *
1 [Mats Björkman] *
1 [Messiah Marcolin] *
1 [Thomas Vikström] *
1 [Carl Westholm] *
1 [Mats Levén] *
1 [Mike Wead] *
1 [Anthony Philip Harford] *
1 [Christian Weberyd] *
1 [Johan Langquist] *
1 [Johnny Reinholm] *
1 [Patrik Instedt]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.11%
(7.78 × 1017 overall)
Dominant nodes (excluded from chart)Candlemass 30.98%Jörgen Sandström 18.11%Mike Wead 12.97%Mats Levén 10.72%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)