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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 36 [Matt Damon] *
289 [Good Will Hunting] *
16 [Alison Folland] *
9 [Cole Hauser] *
1 [Colleen McCauley] *
1 [Dan Washington] *
1 [Derrick Bridgeman] *
1 [John Mighton] *
1 [Matt Mercier] *
1 [Ralph St. George] *
1 [Rob Lynds] *
1 [Rob Lyons] *
1 [Shannon Egleson] *
49 [Stellan Skarsgård] *
36 [Vik Sahay] *
64 [Ben Affleck] *
25 [Barna Moricz]
)
= 4.23T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Matt Damon] *
1 [Good Will Hunting] *
1 [Alison Folland] *
1 [Cole Hauser] *
1 [Colleen McCauley] *
1 [Dan Washington] *
1 [Derrick Bridgeman] *
1 [John Mighton] *
1 [Matt Mercier] *
1 [Ralph St. George] *
1 [Rob Lynds] *
1 [Rob Lyons] *
1 [Shannon Egleson] *
1 [Stellan Skarsgård] *
1 [Vik Sahay] *
1 [Ben Affleck] *
1 [Barna Moricz]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Good Will Hunting 54.12%Ben Affleck 11.99%Stellan Skarsgård 9.18%Matt Damon 6.74%Vik Sahay 6.74%Barna Moricz 4.68%Alison Folland 3.00%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)