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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 3 [Max Tegmark] *
240 [Lex Fridman Podcast] *
9 [ultra running] *
1 [Andrew Huberman] *
16 [Michael Malice] *
4 [Jim Keller] *
1 [Jason Calacanis] *
1 [Avi Loeb] *
1 [Barry Barish] *
4 [Brendan Eich] *
1 [Eugenia Kuyda] *
1 [Konstantin Batygin] *
1 [Yeonmi Park] *
1 [Zach Bitter] *
1 [Ultramarathon runners] *
1 [Ultramarathons] *
12 [Eric Weinstein] *
24 [Oliver Stone]
)
= 1.91B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 3 [Max Tegmark] *
1.07 [Lex Fridman Podcast] *
1 [ultra running] *
1 [Andrew Huberman] *
1 [Michael Malice] *
1 [Jim Keller] *
1 [Jason Calacanis] *
1 [Avi Loeb] *
1 [Barry Barish] *
1 [Brendan Eich] *
1 [Eugenia Kuyda] *
1 [Konstantin Batygin] *
1 [Yeonmi Park] *
1 [Zach Bitter] *
1 [Ultramarathon runners] *
1 [Ultramarathons] *
0.75 [Eric Weinstein] *
0.6667 [Oliver Stone]
)
= 1.6
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
18
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Lex Fridman Podcast 73.62%Oliver Stone 7.36%Michael Malice 4.91%Eric Weinstein 3.68%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
