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, 0) = 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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 6 [Anoushka Shankar] *
400 [John Coast] *
1 [Ali Akbar Khan] *
1 [Chatur Lal] *
1 [Lakshmi Shankar] *
9 [Yehudi Menuhin] *
1 [Uday Shankar] *
1 [The Concert for Bangladesh] *
1 [Buenos Aires por la Paz] *
1 [Ravi Shankar & Sitar Ensemble] *
1 [Shankar Family & Friends] *
96 [ravi shankar]
)
= 2.07M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Anoushka Shankar] *
1 [John Coast] *
1 [Ali Akbar Khan] *
1 [Chatur Lal] *
1 [Lakshmi Shankar] *
1 [Yehudi Menuhin] *
1 [Uday Shankar] *
1 [The Concert for Bangladesh] *
1 [Buenos Aires por la Paz] *
1 [Ravi Shankar & Sitar Ensemble] *
1 [Shankar Family & Friends] *
0.6667 [ravi shankar]
)
= 1
Outbound
1
Tags on post
Inbound
0
Posts tagging this
Connections
12
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)John Coast 76.92%ravi shankar 18.46%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
No other posts link to this one yet.
