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 *
( 4 [Harry Shum Jr.] *
36 [Jamie Lee Curtis] *
289 [Everything Everywhere All at Once] *
25 [Anthony Molinari] *
16 [Michelle Yeoh] *
49 [Jenny Slate] *
36 [James Hong] *
1 [Aaron Lazar] *
1 [Andy Le] *
1 [Biff Wiff] *
1 [Brian Le] *
1 [Chelsey Goldsmith] *
1 [Craig Henningsen] *
1 [Ke Huy Quan] *
1 [Narayana Cabral] *
1 [Stephanie Hsu] *
1 [Sunita Mani]
)
= 29.36B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Harry Shum Jr.] *
1 [Jamie Lee Curtis] *
1 [Everything Everywhere All at Once] *
1 [Anthony Molinari] *
1 [Michelle Yeoh] *
1 [Jenny Slate] *
1 [James Hong] *
1 [Aaron Lazar] *
1 [Andy Le] *
1 [Biff Wiff] *
1 [Brian Le] *
1 [Chelsey Goldsmith] *
1 [Craig Henningsen] *
1 [Ke Huy Quan] *
1 [Narayana Cabral] *
1 [Stephanie Hsu] *
1 [Sunita Mani]
)
= 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)Everything Everywhere All at Once 62.02%Jenny Slate 10.52%Jamie Lee Curtis 7.73%James Hong 7.73%Anthony Molinari 5.36%Michelle Yeoh 3.43%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)