Network Profile
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.
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Base Node Strength
4
Base Node Influence
1
Connected Nodes
12
Strength Share (vs Direct Neighbours)
- This Post (1.10%)
- Renato Freyggang (6.85%)
- Fernando Carrasco (2.47%)
- Ricardo Venegas (2.47%)
- Adrian Otarola (1.10%)
- Antonio Veliz (1.10%)
- Carlos Boltes (1.10%)
- Jaime Maraboli (1.10%)
- Jaime Soto (1.10%)
- Hugo Lagos (3) (1.10%)
- Ernesto González (3) (1.10%)
Dominant nodes (excluded from chart)Barroco Andino 46.30%Patricio Wang 33.15%
Influence Share (vs Direct Neighbours)
- This Post (7.69%)
- Renato Freyggang (7.69%)
- Fernando Carrasco (7.69%)
- Patricio Wang (7.69%)
- Ricardo Venegas (7.69%)
- Barroco Andino (7.69%)
- Adrian Otarola (7.69%)
- Antonio Veliz (7.69%)
- Carlos Boltes (7.69%)
- Jaime Maraboli (7.69%)
- Jaime Soto (7.69%)
- Hugo Lagos (3) (7.69%)
- Ernesto González (3) (7.69%)
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: Apr 30, 10:26 AM
Analyzing Network Connections...
👁️ 23 Views
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