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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 361 [Amon Düül II] *
9 [Dave Anderson (3)] *
1 [Bernd Tischer] *
1 [Chris Karrer] *
1 [Christian Thiele] *
1 [Daniel Fichelscher] *
1 [Dieter Serfas] *
1 [Falk Ulrich Rogner] *
1 [Gerard Carbonell] *
1 [Jan Kahlert] *
1 [Jimmy Jackson (2)] *
1 [John Weinzierl] *
1 [Karl Heinz Hausmann] *
1 [Keith Forsey] *
1 [Klaus Ebert (2)] *
1 [Lothar Meid] *
1 [Peter Leopold] *
1 [Renate Knaup] *
1 [Robby Heibl]
)
= 3.2K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Amon Düül II] *
1 [Dave Anderson (3)] *
1 [Bernd Tischer] *
1 [Chris Karrer] *
1 [Christian Thiele] *
1 [Daniel Fichelscher] *
1 [Dieter Serfas] *
1 [Falk Ulrich Rogner] *
1 [Gerard Carbonell] *
1 [Jan Kahlert] *
1 [Jimmy Jackson (2)] *
1 [John Weinzierl] *
1 [Karl Heinz Hausmann] *
1 [Keith Forsey] *
1 [Klaus Ebert (2)] *
1 [Lothar Meid] *
1 [Peter Leopold] *
1 [Renate Knaup] *
1 [Robby Heibl]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Amon Düül II 93.04%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)