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 *
( 12 [Andrea Di Stefano] *
12 [James Saito] *
20 [Irrfan Khan] *
56 [Rafe Spall] *
306 [Life of Pi] *
36 [Gérard Depardieu] *
16 [Adil Hussain] *
1 [Ayaan Khan] *
16 [Ayush Tandon] *
1 [Elie Alouf] *
1 [Jun Naito] *
1 [Padmini Ramachandran] *
16 [Shravanthi Sainath] *
16 [Suraj Sharma] *
1 [Mohd. Abbas Khaleeli] *
1 [T.M. Karthik Srinivasan] *
1 [Vibish Sivakumar]
)
= 116.44T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Andrea Di Stefano] *
1.33 [James Saito] *
1.25 [Irrfan Khan] *
1.14 [Rafe Spall] *
1.06 [Life of Pi] *
1 [Gérard Depardieu] *
1 [Adil Hussain] *
1 [Ayaan Khan] *
1 [Ayush Tandon] *
1 [Elie Alouf] *
1 [Jun Naito] *
1 [Padmini Ramachandran] *
1 [Shravanthi Sainath] *
1 [Suraj Sharma] *
1 [Mohd. Abbas Khaleeli] *
1 [T.M. Karthik Srinivasan] *
1 [Vibish Sivakumar]
)
= 2.69
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)Life of Pi 59.53%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)