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An Albatross
Jake Lisowski
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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 (1.96%)
- Jeremy Gewertz (17.65%)
- Dan Kishbaugh (1.96%)
- Daniel Schlett (1.96%)
- Edward Klinger (1.96%)
- Jason Hudak (1.96%)
- Kat Paffett (1.96%)
- Phillip Reynolds Price (1.96%)
- Steven Vaiani (1.96%)
- Edward B. Gieda III (1.96%)
Dominant nodes (excluded from chart)An Albatross 64.71%
Influence Share (vs Direct Neighbours)
- This Post (9.02%)
- An Albatross (9.84%)
- Jeremy Gewertz (9.02%)
- Dan Kishbaugh (9.02%)
- Daniel Schlett (9.02%)
- Edward Klinger (9.02%)
- Jason Hudak (9.02%)
- Kat Paffett (9.02%)
- Phillip Reynolds Price (9.02%)
- Steven Vaiani (9.02%)
- Edward B. Gieda III (9.02%)
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, 7:38 AM
Analyzing Network Connections...
👁️ 9 Views
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