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
10
Strength Share (vs Direct Neighbours)
- This Post (2.27%)
- Jack Walsh (5.11%)
- Steve Maloney (5.11%)
- Davy McKavanagh (5.11%)
- Terry Killeen (2.27%)
- Robert Ogle (2.27%)
- Paddy Foley (2.27%)
- Paddy Connolly (2.27%)
- Noel Foley (2.27%)
- Junior Smith (2.27%)
Dominant nodes (excluded from chart)Manhattan Showband (Dublin) 68.75%
Influence Share (vs Direct Neighbours)
- This Post (9.09%)
- Manhattan Showband (Dublin) (9.09%)
- Jack Walsh (9.09%)
- Steve Maloney (9.09%)
- Terry Killeen (9.09%)
- Robert Ogle (9.09%)
- Paddy Foley (9.09%)
- Paddy Connolly (9.09%)
- Noel Foley (9.09%)
- Junior Smith (9.09%)
- Davy McKavanagh (9.09%)
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)
manhattan showband (Dublin)
Last calculated math cycle: May 1, 5:56 PM
Analyzing Network Connections...
👁️ 47 Views
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