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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 16 [Tom Berenger] *
16 [Brian Balzerini] *
16 [Jason Gedrick] *
289 [War Flowers] *
9 [Christina Ricci] *
1 [Bren Foster] *
1 [Cory Scarborough] *
1 [Gabrielle Popa] *
1 [Jason Ishmael Echols] *
1 [Jordan Brun] *
1 [Jordyn Thomas] *
1 [Julian Gant] *
1 [Korey Lear] *
1 [Loren Bass] *
1 [Matt Lockwood] *
1 [Scott Michael Campbell] *
1 [Otis Youngsmith]
)
= 10.65M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Tom Berenger] *
1 [Brian Balzerini] *
1 [Jason Gedrick] *
1 [War Flowers] *
1 [Christina Ricci] *
1 [Bren Foster] *
1 [Cory Scarborough] *
1 [Gabrielle Popa] *
1 [Jason Ishmael Echols] *
1 [Jordan Brun] *
1 [Jordyn Thomas] *
1 [Julian Gant] *
1 [Korey Lear] *
1 [Loren Bass] *
1 [Matt Lockwood] *
1 [Scott Michael Campbell] *
1 [Otis Youngsmith]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)War Flowers 80.50%Tom Berenger 4.46%Brian Balzerini 4.46%Jason Gedrick 4.46%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)