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The Zipps
Wim Klein
Zipps
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Network Profile
Overall Strength
1.63%
of network
(1.01 × 1019)
Direct Connections
6
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
3
Tags on post
Inbound
3
Posts tagging this
Base Node Strength
9
Base Node Influence
1
Connected Nodes
18
Strength Share (vs Direct Neighbours)
1.63%
(1.01 × 1019 overall)
- This Post (1.63%)
- Brett Netson (2.90%)
- Jan Bek (1.63%)
- John Weeda (1.63%)
- Johnny Noce Santoro (1.63%)
- Nico Martens (1.63%)
- Peter de Haas (3) (1.63%)
- Peter Nuyten (1.63%)
- Philip Elzerman (1.63%)
- Ruud Van Seventer (1.63%)
- Theo Verschoor (1.63%)
- Dick Beekman (0.73%)
- Ferry Lever (0.73%)
- Frank Nuyens (0.73%)
- John Noce Santoro (0.73%)
- Chuck Martsch (0.73%)
- Dave Arneson (0.73%)
Dominant nodes (excluded from chart)The Zipps 40.83%Zipps 35.57%
Influence Share (vs Direct Neighbours)
- This Post (5.26%)
- Zipps (5.26%)
- The Zipps (5.26%)
- Brett Netson (5.26%)
- Dick Beekman (5.26%)
- Ferry Lever (5.26%)
- Frank Nuyens (5.26%)
- John Noce Santoro (5.26%)
- Chuck Martsch (5.26%)
- Dave Arneson (5.26%)
- Jan Bek (5.26%)
- John Weeda (5.26%)
- Johnny Noce Santoro (5.26%)
- Nico Martens (5.26%)
- Peter de Haas (3) (5.26%)
- Peter Nuyten (5.26%)
- Philip Elzerman (5.26%)
- Ruud Van Seventer (5.26%)
- Theo Verschoor (5.26%)
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: Apr 30, 10:35 PM
Analyzing Network Connections...
👁️ 20 Views
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