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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 16 [Leonard Bernstein] *
400 [John Coast] *
16 [Mario Lanza] *
1 [Mario Lanza & Orchester] *
64 [Hollywood] *
1 [Kanye West: 808s & Heartbreak at The Hollywood Bowl] *
9 [Danny Rubin] *
1 [2021 in Hollywood, California] *
1 [Film industry in Hollywood, California] *
1 [McCadden PI, Hollywood] *
1 [Mel's Drive-In] *
1 [Music venues in Hollywood, California] *
1 [Wilcox Avenue, Hollywood]
)
= 530.84M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Leonard Bernstein] *
1 [John Coast] *
1 [Mario Lanza] *
1 [Mario Lanza & Orchester] *
1 [Hollywood] *
1 [Kanye West: 808s & Heartbreak at The Hollywood Bowl] *
1 [Danny Rubin] *
1 [2021 in Hollywood, California] *
1 [Film industry in Hollywood, California] *
1 [McCadden PI, Hollywood] *
1 [Mel's Drive-In] *
1 [Music venues in Hollywood, California] *
1 [Wilcox Avenue, Hollywood]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
13
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)John Coast 76.63%Hollywood 12.26%Leonard Bernstein 3.07%Mario Lanza 3.07%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)