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
6
Tags on post
Inbound
6
Posts tagging this
Base Node Strength
36
Base Node Influence
1
Connected Nodes
5
Strength Share (vs Direct Neighbours)
- This Post (64.29%)
- Jai Row Kavi (7.14%)
- Mahesh Tinaikar (7.14%)
- Rushad Mistry (7.14%)
- Uday Benegal (7.14%)
- Zubin Balaporia (7.14%)
Influence Share (vs Direct Neighbours)
- This Post (16.67%)
- Jai Row Kavi (16.67%)
- Mahesh Tinaikar (16.67%)
- Rushad Mistry (16.67%)
- Uday Benegal (16.67%)
- Zubin Balaporia (16.67%)
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 1, 11:46 AM
Analyzing Network Connections...
👁️ 9 Views
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