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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Melissa Sagemiller] *
64 [Billy Bob Thornton] *
16 [Susan Sarandon] *
25 [M.C. Gainey] *
16 [Kurt Fuller] *
36 [Amy Poehler] *
4 [Lyle Kanouse] *
36 [Seann William Scott] *
361 [Mr. Woodcock] *
25 [Ethan Suplee] *
4 [Brent Briscoe] *
1 [Alec George] *
1 [Corbin Albaugh] *
1 [Dave Kuhr] *
1 [Jacob Davich] *
1 [Joseph Michael Sargent] *
1 [Josh Shada] *
1 [Kyley Baldridge] *
1 [Lisa K. Wyatt]
)
= 919.84T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Melissa Sagemiller] *
1 [Billy Bob Thornton] *
1 [Susan Sarandon] *
1 [M.C. Gainey] *
1 [Kurt Fuller] *
1 [Amy Poehler] *
1 [Lyle Kanouse] *
1 [Seann William Scott] *
1 [Mr. Woodcock] *
1 [Ethan Suplee] *
1 [Brent Briscoe] *
1 [Alec George] *
1 [Corbin Albaugh] *
1 [Dave Kuhr] *
1 [Jacob Davich] *
1 [Joseph Michael Sargent] *
1 [Josh Shada] *
1 [Kyley Baldridge] *
1 [Lisa K. Wyatt]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Mr. Woodcock 59.38%Billy Bob Thornton 10.53%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)