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 (1.55%)
- Clive Deamer (31.40%)
- Dominic Smith (3.49%)
- Daniel Kausman (3.49%)
- Ryan Williams (3) (3.49%)
- Yuval Gabay (3.49%)
- Jay Wilcox (1.55%)
- Paul Southey (1.55%)
- Si John (1.55%)
- Tracey Bowen (1.55%)
Dominant nodes (excluded from chart)Roni Size / Reprazent 46.90%
Influence Share (vs Direct Neighbours)
- This Post (9.09%)
- Clive Deamer (9.09%)
- Dominic Smith (9.09%)
- Daniel Kausman (9.09%)
- Ryan Williams (3) (9.09%)
- Roni Size / Reprazent (9.09%)
- Jay Wilcox (9.09%)
- Paul Southey (9.09%)
- Si John (9.09%)
- Tracey Bowen (9.09%)
- Yuval Gabay (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)
Last calculated math cycle: May 1, 3:51 AM
Analyzing Network Connections...
👁️ 28 Views
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