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Simon Jarolf
Vicious
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Network Profile
Influence Score
21.05%
of network
(1.00005)
Direct Connections
5
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.
// 1. Base variables (minimum value of 1 to prevent zero-multiplication issues)
Outbound ($in) = max(1, 2) =
2
Inbound ($out) = max(1, 3) =
3
// 2. Node Base Values
Base Strength (PV) = $in × $out = 2 × 3 =
6
Base Influence (IV) = $in ÷ $out = 2 ÷ 3 =
0.6667
// 3. Network Exponential Values (accumulating 2 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
576
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1.00005
Outbound
2
Tags on post
Inbound
3
Posts tagging this
Base Node Strength
6
Base Node Influence
0.6667
Connected Nodes
2
Strength Share (vs Direct Neighbours)
- This Post (17.65%)
- Celeste Lecesne (70.59%)
- Simon Jarolf (11.76%)
Influence Share (vs Direct Neighbours)
- This Post (21.05%)
- Celeste Lecesne (47.37%)
- Simon Jarolf (31.58%)
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 4, 7:09 PM
Analyzing Network Connections...
👁️ 25 Views