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, 5) = 5
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 6 = 30
Base_Influence (IV) = $inbound / $outbound = 5 / 6 = 0.8333
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 30 *
( 2 [Nagelhaus] *
6 [Westtangente Zürich] *
49 [Escher Wyss] *
1 [Ampèresteg] *
1 [Dammsteg] *
1 [Migros Museum für Gegenwartskunst] *
1 [Toni-Areal] *
1 [Geraldo Alckmin and Klaus Schwab] *
1 [Emirates News] *
1 [Nelson Mandela Redrawn] *
1 [Sternstunden] *
1 [La 'Speed Factory']
)
= 17.6K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.8333 *
( 2 [Nagelhaus] *
1.5 [Westtangente Zürich] *
1 [Escher Wyss] *
1 [Ampèresteg] *
1 [Dammsteg] *
1 [Migros Museum für Gegenwartskunst] *
1 [Toni-Areal] *
1 [Geraldo Alckmin and Klaus Schwab] *
1 [Emirates News] *
1 [Nelson Mandela Redrawn] *
1 [Sternstunden] *
1 [La 'Speed Factory']
)
= 2.5
Outbound
5
Tags on post
Inbound
6
Posts tagging this
Connections
12
Total nodes
Base Node Strength
30
Base Node Influence
0.8333
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Escher Wyss 51.04%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
