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 *
( 289 [In the Soup] *
4 [Jim Jarmusch] *
100 [Stanley Tucci] *
49 [Debi Mazar] *
121 [Will Patton] *
49 [Carol Kane] *
16 [Sully Boyar] *
9 [Seymour Cassel] *
16 [Jennifer Beals] *
1 [David Cantler] *
25 [Elizabeth Bracco] *
1 [Francesco Messina] *
16 [Pat Moya] *
1 [Ruth Maleczech] *
9 [Sam Rockwell] *
4 [Steven Randazzo] *
1 [Tessie Hogan]
)
= 1.11 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [In the Soup] *
1 [Jim Jarmusch] *
1 [Stanley Tucci] *
1 [Debi Mazar] *
1 [Will Patton] *
1 [Carol Kane] *
1 [Sully Boyar] *
1 [Seymour Cassel] *
1 [Jennifer Beals] *
1 [David Cantler] *
1 [Elizabeth Bracco] *
1 [Francesco Messina] *
1 [Pat Moya] *
1 [Ruth Maleczech] *
1 [Sam Rockwell] *
1 [Steven Randazzo] *
1 [Tessie Hogan]
)
= 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)
0.14%
(1.11 × 1018 overall)
Dominant nodes (excluded from chart)In the Soup 40.59%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)