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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 42 [Ray Liotta] *
56 [Celia Weston] *
36 [Aziz Ansari] *
81 [Michael Peña] *
64 [Jesse Plemons] *
324 [Observe and Report] *
64 [Seth Rogen] *
36 [Patton Oswalt] *
1 [Alston Brown] *
49 [Anna Faris] *
1 [Cody Midthunder] *
25 [Collette Wolfe] *
4 [Dan Bakkedahl] *
1 [Debra-Jayne Brown] *
9 [John Yuan] *
1 [Lauren Miller Rogen] *
9 [Matt Yuan] *
1 [Randy Gambill]
)
= 1.30 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [Ray Liotta] *
1.14 [Celia Weston] *
1 [Aziz Ansari] *
1 [Michael Peña] *
1 [Jesse Plemons] *
1 [Observe and Report] *
1 [Seth Rogen] *
1 [Patton Oswalt] *
1 [Alston Brown] *
1 [Anna Faris] *
1 [Cody Midthunder] *
1 [Collette Wolfe] *
1 [Dan Bakkedahl] *
1 [Debra-Jayne Brown] *
1 [John Yuan] *
1 [Lauren Miller Rogen] *
1 [Matt Yuan] *
1 [Randy Gambill]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.12%
(1.30 × 1020 overall)
Dominant nodes (excluded from chart)Observe and Report 40.25%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)