×
Current Year: No year set yet.
Most common related type: musician.
[related_posts_by_tag]
[display_discogs]
[add_related_titles_as_tags]
Art in Manila
Dan McCarthy
No changes made.
Log Out
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.
// 1. Base variables (minimum value of 1 to prevent zero-multiplication issues)
Outbound ($in) = max(1, 2) =
2
Inbound ($out) = max(1, 2) =
2
// 2. Node Base Values
Base Strength (PV) = $in × $out = 2 × 2 =
4
Base Influence (IV) = $in ÷ $out = 2 ÷ 2 =
1
// 3. Network Exponential Values (accumulating 7 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
65.03M
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Base Node Strength
4
Base Node Influence
1
Connected Nodes
7
Strength Share (vs Direct Neighbours)
- This Post (2.72%)
- Art in Manila (43.54%)
- Orenda Fink (33.33%)
- Ryan Fox (6.12%)
- Stefanie Drootin (6.12%)
- Adrianne Verhoeven (2.72%)
- Corey Broman (2.72%)
- Steve Bartolomei (2.72%)
Influence Share (vs Direct Neighbours)
- This Post (12.50%)
- Art in Manila (12.50%)
- Orenda Fink (12.50%)
- Adrianne Verhoeven (12.50%)
- Corey Broman (12.50%)
- Ryan Fox (12.50%)
- Stefanie Drootin (12.50%)
- Steve Bartolomei (12.50%)
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 5, 1:59 AM
Analyzing Network Connections...
👁️ 12 Views
Related Content
No related content found.