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 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 165 [Asphalt Orchestra] *
64 [John Cage] *
25 [Phil Kline] *
4 [Laurie Anderson] *
16 [Dan Trueman] *
64 [Evan Ziporyn] *
121 [Glenn Kotche] *
1 [Dominic Frasca] *
1 [John Luther Adams] *
1 [Alex Weiser] *
1 [Annie Gosfield] *
169 [Bang on a Can] *
1 [Lisa Moore] *
1 [Robert Black] *
1 [David Lang] *
4 [David Cossin] *
4 [Todd Reynolds] *
1 [Mark Stewart (4)] *
1 [Michael Gordon (2)] *
1 [Michael Lowenstern] *
1 [Steven Schick] *
1 [Vicky Chow] *
1 [Wendy Sutter]
)
= 1.42 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.36 [Asphalt Orchestra] *
1 [John Cage] *
1 [Phil Kline] *
1 [Laurie Anderson] *
1 [Dan Trueman] *
1 [Evan Ziporyn] *
1 [Glenn Kotche] *
1 [Dominic Frasca] *
1 [John Luther Adams] *
1 [Alex Weiser] *
1 [Annie Gosfield] *
1 [Bang on a Can] *
1 [Lisa Moore] *
1 [Robert Black] *
1 [David Lang] *
1 [David Cossin] *
1 [Todd Reynolds] *
1 [Mark Stewart (4)] *
1 [Michael Gordon (2)] *
1 [Michael Lowenstern] *
1 [Steven Schick] *
1 [Vicky Chow] *
1 [Wendy Sutter]
)
= 1.36
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
23
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.61%
(1.42 × 1015 overall)
Dominant nodes (excluded from chart)Bang on a Can 25.88%Asphalt Orchestra 25.27%Glenn Kotche 18.53%John Cage 9.80%Evan Ziporyn 9.80%Phil Kline 3.83%Dan Trueman 2.45%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)