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, 10) = 10
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 10 = 100
Base_Influence (IV) = $inbound / $outbound = 10 / 10 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 100 *
( 9 [Sheraton Hotel] *
1 [Former Sheraton hotels] *
1 [Sheraton Grand Tbilisi Metechi Palace] *
1 [Four Points by Sheraton Hakodate] *
1 [Four Points by Sheraton Montevideo] *
1 [Four Points by Sheraton Shenzhen] *
1 [Four Points by Sheraton Sydney Central Park] *
1 [Four Points by Sheraton Sydney Darling Harbour] *
1 [Four Points by Sheraton Warsaw Mokotow] *
1 [Four Points by Sheraton York] *
1 [Four Points by Sheraton Brisbane] *
1 [Panoramahaus Dornbirn]
)
= 900
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Sheraton Hotel] *
1 [Former Sheraton hotels] *
1 [Sheraton Grand Tbilisi Metechi Palace] *
1 [Four Points by Sheraton Hakodate] *
1 [Four Points by Sheraton Montevideo] *
1 [Four Points by Sheraton Shenzhen] *
1 [Four Points by Sheraton Sydney Central Park] *
1 [Four Points by Sheraton Sydney Darling Harbour] *
1 [Four Points by Sheraton Warsaw Mokotow] *
1 [Four Points by Sheraton York] *
1 [Four Points by Sheraton Brisbane] *
1 [Panoramahaus Dornbirn]
)
= 1
Outbound
10
Tags on post
Inbound
10
Posts tagging this
Connections
12
Total nodes
Base Node Strength
100
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)