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
4
Tags on post
Inbound
3
Posts tagging this
Base Node Strength
12
Base Node Influence
1.3333
Connected Nodes
15
Strength Share (vs Direct Neighbours)
- This Post (3.75%)
- Edoardo Sala (5.00%)
- Luca Arzuffi (2.81%)
- Elisabetta Rossi (2) (2.81%)
- Maurizio Cardullo (2.81%)
- Chiara De Sio (1.25%)
- Davide Gherardi (2) (1.25%)
- Federico Maffei (1.25%)
- Lorenzo Marchesi (1.25%)
- Luca Bonometti (1.25%)
- Marco Forese (1.25%)
- Matteo Frigeni (1.25%)
- Roberta Rota (1.25%)
- Silvia Bonino (1.25%)
- Andrea Locatelli - Figurative works in black and white (1.25%)
Dominant nodes (excluded from chart)Folkstone 70.31%
Influence Share (vs Direct Neighbours)
- This Post (8.16%)
- Folkstone (6.12%)
- Edoardo Sala (6.12%)
- Luca Arzuffi (6.12%)
- Chiara De Sio (6.12%)
- Davide Gherardi (2) (6.12%)
- Elisabetta Rossi (2) (6.12%)
- Federico Maffei (6.12%)
- Lorenzo Marchesi (6.12%)
- Luca Bonometti (6.12%)
- Marco Forese (6.12%)
- Matteo Frigeni (6.12%)
- Maurizio Cardullo (6.12%)
- Roberta Rota (6.12%)
- Silvia Bonino (6.12%)
- Andrea Locatelli - Figurative works in black and white (6.12%)
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 1, 5:22 PM
Analyzing Network Connections...
👁️ 24 Views