Network Profile
Influence Score
11.32%
of network
(0.8333)
Direct Connections
10
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 ($in) = max(1, 5) =
5
Inbound ($out) = max(1, 5) =
5
// 2. Node Base Values
Base Strength (PV) = $in × $out = 5 × 5 =
25
Base Influence (IV) = $in ÷ $out = 5 ÷ 5 =
1
// 3. Network Exponential Values (accumulating 8 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
27B
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
0.8333
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Base Node Strength
25
Base Node Influence
1
Connected Nodes
8
Strength Share (vs Direct Neighbours)
- This Post (15.34%)
- Thongchai McIntyre (18.40%)
- Get Carter (15.34%)
- Bill Gerber (15.34%)
- Britt Ekland (15.34%)
- John Osborne (9.82%)
- 2046 (5.52%)
- Chinese Odyssey 2002 (2.45%)
- Chungking Express (2.45%)
Influence Share (vs Direct Neighbours)
- This Post (11.32%)
- 2046 (11.32%)
- Chinese Odyssey 2002 (11.32%)
- Chungking Express (11.32%)
- Get Carter (11.32%)
- John Osborne (11.32%)
- Bill Gerber (11.32%)
- Britt Ekland (11.32%)
- Thongchai McIntyre (9.43%)
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, 8:53 PM
Analyzing Network Connections...
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