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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [Michael P. Moran] *
9 [Major Lance] *
256 [Robert De Niro] *
121 [James Franco] *
36 [Leo Burmester] *
36 [Eliza Dushku] *
49 [Linda Emond] *
16 [Stephi Lineburg] *
400 [City by the Sea] *
25 [George Dzundza] *
25 [William Forsythe] *
49 [Frances McDormand] *
16 [Patti LuPone] *
49 [John Doman] *
4 [Nestor Serrano] *
4 [Anson Mount] *
1 [Drena De Niro] *
1 [Jay Boryea] *
1 [Matthew Cowles] *
16 [Brian Tarantina]
)
= 1.39 x 10^25
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Michael P. Moran] *
1 [Major Lance] *
1 [Robert De Niro] *
1 [James Franco] *
1 [Leo Burmester] *
1 [Eliza Dushku] *
1 [Linda Emond] *
1 [Stephi Lineburg] *
1 [City by the Sea] *
1 [George Dzundza] *
1 [William Forsythe] *
1 [Frances McDormand] *
1 [Patti LuPone] *
1 [John Doman] *
1 [Nestor Serrano] *
1 [Anson Mount] *
1 [Drena De Niro] *
1 [Jay Boryea] *
1 [Matthew Cowles] *
1 [Brian Tarantina]
)
= 1.25
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.09%
(1.39 × 1025 overall)
Dominant nodes (excluded from chart)City by the Sea 35.24%Robert De Niro 22.56%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)