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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Robert Pike Daniel] *
4 [Alexander Wright] *
144 [Nick Offerman] *
256 [Welcome to Happiness] *
16 [Keegan-Michael Key] *
4 [Brendan Sexton III] *
25 [Bess Rous] *
9 [Chauntal Lewis] *
1 [Israel Wright] *
1 [Josh Brener] *
1 [Kathleen Andrews] *
16 [Olivia Thirlby] *
9 [Paget Brewster] *
1 [A.J. Trauth] *
1 [Molly C. Quinn] *
1 [Shana Gagnon]
)
= 3.67T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Robert Pike Daniel] *
1 [Alexander Wright] *
1 [Nick Offerman] *
1 [Welcome to Happiness] *
1 [Keegan-Michael Key] *
1 [Brendan Sexton III] *
1 [Bess Rous] *
1 [Chauntal Lewis] *
1 [Israel Wright] *
1 [Josh Brener] *
1 [Kathleen Andrews] *
1 [Olivia Thirlby] *
1 [Paget Brewster] *
1 [A.J. Trauth] *
1 [Molly C. Quinn] *
1 [Shana Gagnon]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Welcome to Happiness 51.00%Nick Offerman 28.69%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)