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Jon Shiffman
Steel Train
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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
8
Strength Share (vs Direct Neighbours)
- This Post (2.76%)
- Jack Antonoff (24.83%)
- Daniel Silbert (2.76%)
- Evan Winiker (2.76%)
- Justin Huey (2.76%)
- Matthew Goldman (3) (2.76%)
- Matthias Gruber (2) (2.76%)
- Scott Irby Ranniar (2.76%)
Dominant nodes (excluded from chart)Steel Train 55.86%
Influence Share (vs Direct Neighbours)
- This Post (11.11%)
- Jack Antonoff (11.11%)
- Steel Train (11.11%)
- Daniel Silbert (11.11%)
- Evan Winiker (11.11%)
- Justin Huey (11.11%)
- Matthew Goldman (3) (11.11%)
- Matthias Gruber (2) (11.11%)
- Scott Irby Ranniar (11.11%)
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, 8:50 AM
Analyzing Network Connections...
👁️ 6 Views
Related Content
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