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
14
Strength Share (vs Direct Neighbours)
- This Post (1.03%)
- Franz Di Cioccio (9.28%)
- Mauro Pagani (2.32%)
- Gregory Bloch (2.32%)
- Pietro Pellegrini (2.32%)
- Alberto Bravin (1.03%)
- Bernardo Lanzetti (1.03%)
- Franco Mussida (1.03%)
- Giorgio Piazza (1.03%)
- Lucio Fabbri (1.03%)
- Patrick Djivas (1.03%)
- Roberto Gualdi (1.03%)
- Walter Calloni (1.03%)
Dominant nodes (excluded from chart)Premiata Forneria Marconi 57.99%Marco Sfogli 16.49%
Influence Share (vs Direct Neighbours)
- This Post (6.67%)
- Marco Sfogli (6.67%)
- Mauro Pagani (6.67%)
- Premiata Forneria Marconi (6.67%)
- Gregory Bloch (6.67%)
- Alberto Bravin (6.67%)
- Bernardo Lanzetti (6.67%)
- Franco Mussida (6.67%)
- Franz Di Cioccio (6.67%)
- Giorgio Piazza (6.67%)
- Lucio Fabbri (6.67%)
- Patrick Djivas (6.67%)
- Pietro Pellegrini (6.67%)
- Roberto Gualdi (6.67%)
- Walter Calloni (6.67%)
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 2, 5:17 AM
Analyzing Network Connections...
👁️ 25 Views
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