Network Profile
Overall Strength
0.31%
of network
(6.40 × 1018)
Direct Connections
4
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
13
Strength Share (vs Direct Neighbours)
0.31%
(6.40 × 1018 overall)
- This Post (0.31%)
- Daniel Moilanen (11.19%)
- Tobias Gustafsson (3.81%)
- Kentha Philipsson (1.24%)
- Anders Bertilsson (1.24%)
- Michael Håkansson (1.24%)
- Petter Freed (0.70%)
- Ellinor Asp (0.31%)
- Magnus Johansson (2) (0.31%)
- Mia Ståhl (0.31%)
- Ruby Roque (0.31%)
Dominant nodes (excluded from chart)Dirk Verbeuren 48.56%The Project Hate MCMXCIX 15.23%Jörgen Sandström 15.23%
Influence Share (vs Direct Neighbours)
- This Post (7.14%)
- Dirk Verbeuren (7.14%)
- The Project Hate MCMXCIX (7.14%)
- Jörgen Sandström (7.14%)
- Tobias Gustafsson (7.14%)
- Kentha Philipsson (7.14%)
- Anders Bertilsson (7.14%)
- Daniel Moilanen (7.14%)
- Ellinor Asp (7.14%)
- Magnus Johansson (2) (7.14%)
- Mia Ståhl (7.14%)
- Michael Håkansson (7.14%)
- Petter Freed (7.14%)
- Ruby Roque (7.14%)
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, 6:11 PM
Analyzing Network Connections...
👁️ 32 Views
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