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, 12) = 12
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 12 = 156
Base_Influence (IV) = $inbound / $outbound = 13 / 12 = 1.0833
// 3. Exponential Network Values (accumulating 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 156 *
( 8 [Sesto San Giovanni] *
4 [Centrale Edison in Sesto San Giovanni] *
1 [ISEC] *
1 [Monuments and memorials in Sesto San Giovanni] *
1 [Osva] *
4 [Parco archeologico industriale ex-Breda] *
1 [Plaques in Sesto San Giovanni] *
1 [Sports in Sesto San Giovanni] *
1 [Streets in Sesto San Giovanni] *
1 [Urban squares in Sesto San Giovanni] *
1 [FS 830.017 at Parco archeologico industriale ex-Breda in Sesto San Giovanni] *
1 [Lago di Niguarda] *
2 [Night in Sesto San Giovanni] *
2 [Uffici Edison a Sesto San Giovanni]
)
= 79.9K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.0833 *
( 2 [Sesto San Giovanni] *
1 [Centrale Edison in Sesto San Giovanni] *
1 [ISEC] *
1 [Monuments and memorials in Sesto San Giovanni] *
1 [Osva] *
1 [Parco archeologico industriale ex-Breda] *
1 [Plaques in Sesto San Giovanni] *
1 [Sports in Sesto San Giovanni] *
1 [Streets in Sesto San Giovanni] *
1 [Urban squares in Sesto San Giovanni] *
1 [FS 830.017 at Parco archeologico industriale ex-Breda in Sesto San Giovanni] *
1 [Lago di Niguarda] *
0.5 [Night in Sesto San Giovanni] *
0.5 [Uffici Edison a Sesto San Giovanni]
)
= 0.5417
Outbound
13
Tags on post
Inbound
12
Posts tagging this
Connections
14
Total nodes
Base Node Strength
156
Base Node Influence
1.0833
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Parco Nord Milano
BROKEN LINK