Network Profile
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Node & Network Strength Details
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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
4
Tags on post
Inbound
4
Posts tagging this
Base Node Strength
16
Base Node Influence
1
Connected Nodes
16
Strength Share (vs Direct Neighbours)
This Post (4.95%) Alex Koehler (4.95%) Jason Richardson (2.79%) Tom Barber (2.79%) Chris Kilbourn (1.24%) David Flinn (1.24%) Davis Pugh (1.24%) Jake Harmond (1.24%) Andrew Carlston (1.24%) Austin Marticorena (1.24%) Kory Shilling (1.24%) Michael Stafford (1.24%) Pablo Viveros (1.24%) Stephen Rutishauser (1.24%) Any Human Heart (1.24%) B&B (1.24%)
Dominant nodes (excluded from chart) Chelsea Grin 69.66%
Influence Share (vs Direct Neighbours)
This Post (5.88%) Chelsea Grin (5.88%) Jason Richardson (5.88%) Chris Kilbourn (5.88%) David Flinn (5.88%) Davis Pugh (5.88%) Jake Harmond (5.88%) Tom Barber (5.88%) Alex Koehler (5.88%) Andrew Carlston (5.88%) Austin Marticorena (5.88%) Kory Shilling (5.88%) Michael Stafford (5.88%) Pablo Viveros (5.88%) Stephen Rutishauser (5.88%) Any Human Heart (5.88%) B&B (5.88%)
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 3, 3:01 AM
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Depth: 1 Level
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Depth: 7 Levels
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