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, 7) = 7
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 6 = 42
Base_Influence (IV) = $inbound / $outbound = 7 / 6 = 1.1667
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 42 *
( 25 [Swiss National Museum] *
1 [Forum Schweizer Geschichte] *
1 [Sammlungszentrum des Schweizerischen Nationalmuseums] *
1 [Swiss Customs Museum] *
1 [Zunfthaus zur Meisen] *
1 [Exterior of the Landesmuseum Zürich] *
1 [Floor plans of the Landesmuseum Zürich] *
1 [Institution:Landesmuseum Zürich] *
1 [Landesmuseum Zürich Extension] *
1 [WikiAlpenforum Landesmuseum Zürich]
)
= 1.1K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.1667 *
( 1 [Swiss National Museum] *
1 [Forum Schweizer Geschichte] *
1 [Sammlungszentrum des Schweizerischen Nationalmuseums] *
1 [Swiss Customs Museum] *
1 [Zunfthaus zur Meisen] *
1 [Exterior of the Landesmuseum Zürich] *
1 [Floor plans of the Landesmuseum Zürich] *
1 [Institution:Landesmuseum Zürich] *
1 [Landesmuseum Zürich Extension] *
1 [WikiAlpenforum Landesmuseum Zürich]
)
= 1.17
Outbound
7
Tags on post
Inbound
6
Posts tagging this
Connections
10
Total nodes
Base Node Strength
42
Base Node Influence
1.1667
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Swiss National Museum 32.89%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Night views of Landesmuseum Zürich
BROKEN LINK