Network Profile
Influence Score
7.31%
of network
(0.57145)
Direct Connections
15
Node & Network Strength Details
How is this calculated? The math continuously tracks how strongly this post is connected to the rest of the website.
Every tag forms a network link. The pie charts below show each connected post's base strength (PV) and influence (IV) as a share of this post's direct neighbourhood.
// 1. Base variables (minimum value of 1 to prevent zero-multiplication issues)
Outbound ($in) = max(1, 8) =
8
Inbound ($out) = max(1, 7) =
7
// 2. Node Base Values
Base Strength (PV) = $in × $out = 8 × 7 =
56
Base Influence (IV) = $in ÷ $out = 8 ÷ 7 =
1.1429
// 3. Network Exponential Values (accumulating 15 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
1.92T
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
0.57145
Outbound
8
Tags on post
Inbound
7
Posts tagging this
Base Node Strength
56
Base Node Influence
1.1429
Connected Nodes
15
Strength Share (vs Direct Neighbours)
- This Post (30.11%)
- Rio Grande do Sul (8.60%)
- Houses in Brazil South (2.15%)
- Libraries in Brazil South (2.15%)
- O Sul É o Meu País (2.15%)
- Santa Catarina (2.15%)
- Architecture of Paraná (2.15%)
- Health in Paraná (2.15%)
- Morro do Sabão (2.15%)
- Photographs of Paraná (2.15%)
- Serra da Graciosa (2.15%)
- Society of Paraná (2.15%)
- Cannons in Rio Grande do Sul (2.15%)
- Rua do Arvoredo murders (2.15%)
- Animals of Brazil South (1.08%)
Dominant nodes (excluded from chart)Paraná 34.41%
Influence Share (vs Direct Neighbours)
- This Post (7.31%)
- Houses in Brazil South (6.39%)
- Libraries in Brazil South (6.39%)
- O Sul É o Meu País (6.39%)
- Paraná (6.39%)
- Rio Grande do Sul (6.39%)
- Santa Catarina (6.39%)
- Architecture of Paraná (6.39%)
- Health in Paraná (6.39%)
- Morro do Sabão (6.39%)
- Photographs of Paraná (6.39%)
- Serra da Graciosa (6.39%)
- Society of Paraná (6.39%)
- Cannons in Rio Grande do Sul (6.39%)
- Rua do Arvoredo murders (6.39%)
- Animals of Brazil South (3.20%)
Connected Network (How neighbours affect this node)
Top Network Boosters (Highest Multipliers)
Weakest Connections (Lowest Multipliers)
Connection Health Audit (Red = broken 1-way link)
Last calculated math cycle: May 5, 4:34 AM
Analyzing Network Connections...
Região Metropolitana de Curitiba, Brazil
👁️ 35 Views
