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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 35 [The Zutons] *
256 [The Lightning Seeds] *
81 [Ian Broudie] *
9 [Rob Allum] *
1 [Tim Cunningham] *
169 [Zak Starkey] *
1 [Riley Broudie] *
4 [Raife Burchell] *
25 [Paul Hemmings] *
4 [Paolo Ruiu] *
16 [Mathew Priest] *
4 [Martyn Campbell] *
1 [Jim Sharrock] *
1 [James Bagshaw] *
81 [Chris Sharrock] *
9 [Angie Pollock] *
1 [Ali Kane] *
16 [Dave McCabe] *
4 [Jay Lewis (11)] *
9 [Paul Molloy] *
4 [Russ Pritchard]
)
= 1.90 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.4 [The Zutons] *
1 [The Lightning Seeds] *
1 [Ian Broudie] *
1 [Rob Allum] *
1 [Tim Cunningham] *
1 [Zak Starkey] *
1 [Riley Broudie] *
1 [Raife Burchell] *
1 [Paul Hemmings] *
1 [Paolo Ruiu] *
1 [Mathew Priest] *
1 [Martyn Campbell] *
1 [Jim Sharrock] *
1 [James Bagshaw] *
1 [Chris Sharrock] *
1 [Angie Pollock] *
1 [Ali Kane] *
1 [Dave McCabe] *
1 [Jay Lewis (11)] *
1 [Paul Molloy] *
1 [Russ Pritchard]
)
= 1.4
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
21
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.54%
(1.90 × 1020 overall)
Dominant nodes (excluded from chart)The Lightning Seeds 34.83%Zak Starkey 22.99%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
