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, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 25 [Paul Roberts] *
4 [Soulsec] *
324 [The Stranglers] *
16 [Alan Winstanley] *
16 [Hugh Cornwell] *
9 [Hans Wärmling] *
16 [Dave Greenfield] *
49 [Jean-Jacques Burnel] *
1 [Jet Black] *
1 [Jim Macaulay] *
9 [John Ellis] *
1 [Dave Green] *
16 [Geoff Graham] *
81 [The Rubettes] *
1 [Brian Duffy (2)] *
9 [J.J. Burnel] *
9 [John Ellis (2)] *
1 [Toby Hounsham] *
36 [Pub rock (United Kingdom)]
)
= 7.96 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Paul Roberts] *
1 [Soulsec] *
1 [The Stranglers] *
1 [Alan Winstanley] *
1 [Hugh Cornwell] *
1 [Hans Wärmling] *
1 [Dave Greenfield] *
1 [Jean-Jacques Burnel] *
1 [Jet Black] *
1 [Jim Macaulay] *
1 [John Ellis] *
1 [Dave Green] *
1 [Geoff Graham] *
1 [The Rubettes] *
1 [Brian Duffy (2)] *
1 [J.J. Burnel] *
1 [John Ellis (2)] *
1 [Toby Hounsham] *
1 [Pub rock (United Kingdom)]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.64%
(7.96 × 1018 overall)
Dominant nodes (excluded from chart)The Stranglers 51.59%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)