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, 12) = 12
$outbound = max(1, 13) = 13
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 12 * 13 = 156
Base_Influence (IV) = $inbound / $outbound = 12 / 13 = 0.9231
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 156 *
( 2 [A mediaeval Princess, 1904] *
1 [Nikolaos Skalkottas] *
1 [Luigi Dallapiccola] *
1 [Dmitry Kabalevsky] *
1 [Louisiana Purchase Exposition World Fair] *
1 [1904 calendars] *
1 [1904 in the Northern Hemisphere] *
1 [1904 in the Southern Hemisphere] *
1 [Arnold Böcklin font] *
1 [Bishop Scott Academy] *
1 [Manhole covers dated 1904] *
1 [Sociedad de mejoras públicas de Cali] *
1 [L'illustration 1904]
)
= 312
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.9231 *
( 2 [A mediaeval Princess, 1904] *
1 [Nikolaos Skalkottas] *
1 [Luigi Dallapiccola] *
1 [Dmitry Kabalevsky] *
1 [Louisiana Purchase Exposition World Fair] *
1 [1904 calendars] *
1 [1904 in the Northern Hemisphere] *
1 [1904 in the Southern Hemisphere] *
1 [Arnold Böcklin font] *
1 [Bishop Scott Academy] *
1 [Manhole covers dated 1904] *
1 [Sociedad de mejoras públicas de Cali] *
1 [L'illustration 1904]
)
= 1.85
Outbound
12
Tags on post
Inbound
13
Posts tagging this
Connections
13
Total nodes
Base Node Strength
156
Base Node Influence
0.9231
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)