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
11
Strength Share (vs Direct Neighbours)
- This Post (1.64%)
- John McGrenra (14.75%)
- Eamon Ponsonby (6.56%)
- Fergus Cleary (6.56%)
- O'Leary Marty (1.64%)
- Pat McClean (1.64%)
- Harry Curran (1.64%)
- Seamus Curran (1.64%)
- Tomas Curran (1.64%)
- Pat McLean (1.64%)
- Hugh O'Leary (1.64%)
Dominant nodes (excluded from chart)Blue Glows Showband 59.02%
Influence Share (vs Direct Neighbours)
- This Post (8.33%)
- Blue Glows Showband (8.33%)
- Eamon Ponsonby (8.33%)
- O'Leary Marty (8.33%)
- John McGrenra (8.33%)
- Pat McClean (8.33%)
- Fergus Cleary (8.33%)
- Harry Curran (8.33%)
- Seamus Curran (8.33%)
- Tomas Curran (8.33%)
- Pat McLean (8.33%)
- Hugh O'Leary (8.33%)
Connected Network (How neighbours affect this node)
Top Network Boosters (Highest Multipliers)
Weakest Connections (Lowest Multipliers)
Connection Health Audit (Red = broken 1-way link)
Outbound Tags (2)
Blue Glows Showband
Sheena Morrison
Last calculated math cycle: Apr 30, 2:34 PM
Analyzing Network Connections...
👁️ 43 Views
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