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 *
( 36 [Ben Kingsley] *
324 [House of Sand and Fog] *
36 [Ron Eldard] *
16 [Marco Rodríguez] *
36 [Shohreh Aghdashloo] *
4 [Jennifer Connelly] *
1 [Al Rodrigo] *
1 [Jaleh Modjallal] *
1 [Jonathan Ahdout] *
1 [Kia Jam] *
4 [Kim Dickens] *
1 [Mark Chaet] *
1 [Matthew Simonian] *
1 [Namrata Singh Gujral] *
1 [Nasser Faris] *
4 [Navi Rawat] *
1 [Samira Damavandi] *
4 [Carlos Gómez]
)
= 61.92B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Ben Kingsley] *
1 [House of Sand and Fog] *
1 [Ron Eldard] *
1 [Marco Rodríguez] *
1 [Shohreh Aghdashloo] *
1 [Jennifer Connelly] *
1 [Al Rodrigo] *
1 [Jaleh Modjallal] *
1 [Jonathan Ahdout] *
1 [Kia Jam] *
1 [Kim Dickens] *
1 [Mark Chaet] *
1 [Matthew Simonian] *
1 [Namrata Singh Gujral] *
1 [Nasser Faris] *
1 [Navi Rawat] *
1 [Samira Damavandi] *
1 [Carlos Gómez]
)
= 1
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)
Dominant nodes (excluded from chart)House of Sand and Fog 68.35%Ben Kingsley 7.59%Ron Eldard 7.59%Shohreh Aghdashloo 7.59%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
