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
5
Tags on post
Inbound
5
Posts tagging this
Base Node Strength
25
Base Node Influence
1
Connected Nodes
10
Strength Share (vs Direct Neighbours)
- This Post (19.69%)
- Shawn Christopher (12.60%)
- The Chicago Music Community Choir (7.09%)
- Gary Krolak (3.15%)
- Larry Clyman (3.15%)
- Lenny Marsh (3.15%)
- Michael Weiss (3.15%)
- Ron Sorin (3.15%)
- Bandallamas (3.15%)
- The Ken Saydak Band (3.15%)
Dominant nodes (excluded from chart)Big Shoulders 38.58%
Influence Share (vs Direct Neighbours)
- This Post (9.09%)
- Big Shoulders (9.09%)
- Shawn Christopher (9.09%)
- The Chicago Music Community Choir (9.09%)
- Gary Krolak (9.09%)
- Larry Clyman (9.09%)
- Lenny Marsh (9.09%)
- Michael Weiss (9.09%)
- Ron Sorin (9.09%)
- Bandallamas (9.09%)
- The Ken Saydak Band (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, 10:56 PM
Analyzing Network Connections...
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