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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 1 [Leave It to Beaver] *
1 [Murder Is My Business] *
324 [The Mole People] *
1 [Blonde for a Day] *
1 [Alan Napier] *
1 [Bob Herron] *
1 [Bob Hoy] *
1 [Cynthia Patrick] *
1 [Frank Baxter] *
1 [James Logan] *
1 [Joe Abdullah] *
1 [John Agar] *
1 [John Dodsworth] *
16 [Marc Hamilton] *
4 [Nestor Paiva] *
1 [Phil Chambers] *
1 [Arthur D. Gilmour] *
1 [Kay E. Kuter] *
1 [Robin Hughes] *
1 [Rodd Redwing] *
1 [Yvonne De Lavallade]
)
= 331.8K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Leave It to Beaver] *
1 [Murder Is My Business] *
1 [The Mole People] *
1 [Blonde for a Day] *
1 [Alan Napier] *
1 [Bob Herron] *
1 [Bob Hoy] *
1 [Cynthia Patrick] *
1 [Frank Baxter] *
1 [James Logan] *
1 [Joe Abdullah] *
1 [John Agar] *
1 [John Dodsworth] *
1 [Marc Hamilton] *
1 [Nestor Paiva] *
1 [Phil Chambers] *
1 [Arthur D. Gilmour] *
1 [Kay E. Kuter] *
1 [Robin Hughes] *
1 [Rodd Redwing] *
1 [Yvonne De Lavallade]
)
= 1
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
21
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Mole People 85.71%Marc Hamilton 4.23%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)