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
7
Tags on post
Inbound
7
Posts tagging this
Base Node Strength
49
Base Node Influence
1
Connected Nodes
9
Strength Share (vs Direct Neighbours)
- This Post (8.81%)
- Fat Chance (11.51%)
- kevin mcconville (1.62%)
- fiacre gaffney (1.62%)
- barry schweppe (1.62%)
- tony ronan (0.72%)
- vinny kilcullen (0.72%)
- Eamon Troy (0.72%)
- Rory Ferguson (0.72%)
Dominant nodes (excluded from chart)Kevin Fennell 71.94%
Influence Share (vs Direct Neighbours)
- This Post (10.00%)
- Fat Chance (10.00%)
- tony ronan (10.00%)
- vinny kilcullen (10.00%)
- kevin mcconville (10.00%)
- fiacre gaffney (10.00%)
- barry schweppe (10.00%)
- Eamon Troy (10.00%)
- Rory Ferguson (10.00%)
- Kevin Fennell (10.00%)
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 4, 3:25 PM
Analyzing Network Connections...
Dublin, County Dublin, Ireland
👁️ 26 Views
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