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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 35 [The Zutons] *
121 [Noel Gallagher's High Flying Birds] *
16 [Gem Archer] *
49 [Noel Gallagher] *
49 [Jeremy Stacey] *
81 [Chris Sharrock] *
1 [Audrey Gbaguidi] *
1 [Charlotte Marionneau] *
1 [Jessica Greenfield] *
1 [Mike Rowe] *
1 [Tim Smith (5)] *
1 [Michael O’Connor (production)] *
4 [Abi Harding] *
16 [Dave McCabe] *
4 [Jay Lewis (11)] *
9 [Paul Molloy]
)
= 121.45T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.4 [The Zutons] *
1 [Noel Gallagher's High Flying Birds] *
1 [Gem Archer] *
1 [Noel Gallagher] *
1 [Jeremy Stacey] *
1 [Chris Sharrock] *
1 [Audrey Gbaguidi] *
1 [Charlotte Marionneau] *
1 [Jessica Greenfield] *
1 [Mike Rowe] *
1 [Tim Smith (5)] *
1 [Michael O’Connor (production)] *
1 [Abi Harding] *
1 [Dave McCabe] *
1 [Jay Lewis (11)] *
1 [Paul Molloy]
)
= 1.4
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
16
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Noel Gallagher's High Flying Birds 30.71%Chris Sharrock 20.56%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)