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, 13) = 13
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 8 = 104
Base_Influence (IV) = $inbound / $outbound = 13 / 8 = 1.625
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 104 *
( 1 [Hughes’ Corner House] *
1 [Corner houses in France] *
1 [Corner houses in Poland] *
1 [Cyrus B. Cobb House] *
1 [Janet Street-Porter House] *
4 [Observer Hotel, The Rocks] *
1 [Rau/Strong House] *
4 [Rokin 123, Amsterdam] *
1 [The Rocks] *
1 [Rokin 123]
)
= 1.7K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.625 *
( 1 [Hughes’ Corner House] *
1 [Corner houses in France] *
1 [Corner houses in Poland] *
1 [Cyrus B. Cobb House] *
1 [Janet Street-Porter House] *
1 [Observer Hotel, The Rocks] *
1 [Rau/Strong House] *
1 [Rokin 123, Amsterdam] *
1 [The Rocks] *
1 [Rokin 123]
)
= 1.63
Outbound
13
Tags on post
Inbound
8
Posts tagging this
Connections
10
Total nodes
Base Node Strength
104
Base Node Influence
1.625
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Corner houses in Germany
BROKEN LINKCorner houses in Hungary
BROKEN LINKCorner houses in Israel
BROKEN LINKCorner houses in Portugal
BROKEN LINKCorner houses in Slovenia
BROKEN LINK