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, 4) = 4
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 3 = 12
Base_Influence (IV) = $inbound / $outbound = 4 / 3 = 1.3333
// 3. Exponential Network Values (accumulating 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 12 *
( 12 [James Saito] *
20 [Irrfan Khan] *
272 [Life of Pi] *
1 [1:9 scale models] *
1 [๙] *
1 [Gospel of Matthew - Chapter 9] *
49 [Rafe Spall] *
16 [Adil Hussain] *
1 [Ayaan Khan] *
16 [Ayush Tandon] *
1 [Elie Alouf] *
1 [Gautam Belur] *
1 [Jun Naito] *
1 [Padmini Ramachandran] *
16 [Shravanthi Sainath] *
16 [Suraj Sharma] *
1 [Mohd. Abbas Khaleeli] *
1 [T.M. Karthik Srinivasan] *
1 [Vibish Sivakumar] *
25 [Eugene Lipinski] *
16 [Ruth Bradley] *
9 [The Informer] *
1 [Last Night of Amore]
)
= 9.06 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.3333 *
( 1.33 [James Saito] *
1.25 [Irrfan Khan] *
1.06 [Life of Pi] *
1 [1:9 scale models] *
1 [๙] *
1 [Gospel of Matthew - Chapter 9] *
1 [Rafe Spall] *
1 [Adil Hussain] *
1 [Ayaan Khan] *
1 [Ayush Tandon] *
1 [Elie Alouf] *
1 [Gautam Belur] *
1 [Jun Naito] *
1 [Padmini Ramachandran] *
1 [Shravanthi Sainath] *
1 [Suraj Sharma] *
1 [Mohd. Abbas Khaleeli] *
1 [T.M. Karthik Srinivasan] *
1 [Vibish Sivakumar] *
1 [Eugene Lipinski] *
1 [Ruth Bradley] *
1 [The Informer] *
1 [Last Night of Amore]
)
= 2.36
Outbound
4
Tags on post
Inbound
3
Posts tagging this
Connections
23
Total nodes
Base Node Strength
12
Base Node Influence
1.3333
Strength Share (vs Direct Neighbours)
2.44%
(9.06 × 1015 overall)
Dominant nodes (excluded from chart)Life of Pi 55.40%Rafe Spall 9.98%Eugene Lipinski 5.09%Irrfan Khan 4.07%Adil Hussain 3.26%Ayush Tandon 3.26%Shravanthi Sainath 3.26%Suraj Sharma 3.26%Ruth Bradley 3.26%James Saito 2.44%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)