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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Jean Ritchie] *
81 [Tom Lehrer] *
4 [Nick Reynolds] *
324 [The Kingston Trio] *
9 [Bob Shane] *
16 [Dave Guard] *
1 [Ben Schubert] *
9 [Bill Zorn] *
1 [Bob Haworth] *
4 [Dean Reilly] *
1 [George Grove] *
1 [John Stewart (2)] *
1 [Josh Reynolds (5)] *
1 [Nick Reynolds (3)] *
1 [Pat Horine] *
1 [Roger Gambill] *
1 [Stan Kaess] *
1 [Tom Green (4)]
)
= 6.53B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Jean Ritchie] *
1 [Tom Lehrer] *
1 [Nick Reynolds] *
1 [The Kingston Trio] *
1 [Bob Shane] *
1 [Dave Guard] *
1 [Ben Schubert] *
1 [Bill Zorn] *
1 [Bob Haworth] *
1 [Dean Reilly] *
1 [George Grove] *
1 [John Stewart (2)] *
1 [Josh Reynolds (5)] *
1 [Nick Reynolds (3)] *
1 [Pat Horine] *
1 [Roger Gambill] *
1 [Stan Kaess] *
1 [Tom Green (4)]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Kingston Trio 68.94%Tom Lehrer 17.23%Dave Guard 3.40%Jean Ritchie 2.55%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)