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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 289 [The Dill] *
36 [Gil Sharone] *
64 [Chris Pennie] *
81 [Greg Puciato] *
9 [Billy Rymer] *
9 [Kevin Antreassian] *
25 [Jeff Wood] *
16 [Benjamin Weinman] *
16 [Adam Doll] *
9 [Brian Benoit] *
9 [Brian Montuori] *
9 [Dimitri Minakakis] *
16 [James Love] *
9 [Jeff Tuttle] *
9 [John Fulton] *
9 [Liam Wilson (2)] *
9 [Matt Lupo]
)
= 2.14 x 10^21
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Dill] *
1 [Gil Sharone] *
1 [Chris Pennie] *
1 [Greg Puciato] *
1 [Billy Rymer] *
1 [Kevin Antreassian] *
1 [Jeff Wood] *
1 [Benjamin Weinman] *
1 [Adam Doll] *
1 [Brian Benoit] *
1 [Brian Montuori] *
1 [Dimitri Minakakis] *
1 [James Love] *
1 [Jeff Tuttle] *
1 [John Fulton] *
1 [Liam Wilson (2)] *
1 [Matt Lupo]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.16%
(2.14 × 1021 overall)
Dominant nodes (excluded from chart)The Dill 46.24%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)