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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Joanna Scanlan] *
42 [Juno Temple] *
4 [Phil Davis] *
81 [Cate Blanchett] *
36 [Judi Dench] *
121 [Bill Nighy] *
16 [Jill Baker] *
400 [Notes on a Scandal] *
1 [Barry McCarthy] *
16 [Debra Gillett] *
16 [Emma Kennedy] *
1 [Leon Skinner] *
1 [Max Lewis] *
1 [Michael Maloney] *
4 [Shaun Parkes] *
1 [Syreeta Kumar] *
16 [Tameka Empson] *
4 [Tom Georgeson] *
4 [Wendy Nottingham] *
16 [John Bloom]
)
= 1.91 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Joanna Scanlan] *
1.17 [Juno Temple] *
1 [Phil Davis] *
1 [Cate Blanchett] *
1 [Judi Dench] *
1 [Bill Nighy] *
1 [Jill Baker] *
1 [Notes on a Scandal] *
1 [Barry McCarthy] *
1 [Debra Gillett] *
1 [Emma Kennedy] *
1 [Leon Skinner] *
1 [Max Lewis] *
1 [Michael Maloney] *
1 [Shaun Parkes] *
1 [Syreeta Kumar] *
1 [Tameka Empson] *
1 [Tom Georgeson] *
1 [Wendy Nottingham] *
1 [John Bloom]
)
= 1.56
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.13%
(1.91 × 1019 overall)
Dominant nodes (excluded from chart)Notes on a Scandal 50.38%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)