Network Profile
Influence Score
14.12%
of network
(4.66655)
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.
// 1. Base variables (minimum value of 1 to prevent zero-multiplication issues)
Outbound ($in) = max(1, 3) =
3
Inbound ($out) = max(1, 3) =
3
// 2. Node Base Values
Base Strength (PV) = $in × $out = 3 × 3 =
9
Base Influence (IV) = $in ÷ $out = 3 ÷ 3 =
1
// 3. Network Exponential Values (accumulating 4 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
96.8K
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
4.66655
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Base Node Strength
9
Base Node Influence
1
Connected Nodes
4
Strength Share (vs Direct Neighbours)
- This Post (14.75%)
- Moscow (45.90%)
- St petersberg (19.67%)
- Москва (13.11%)
- Larissa Tormey (6.56%)
Influence Share (vs Direct Neighbours)
- This Post (14.12%)
- Москва (28.24%)
- Moscow (24.71%)
- St petersberg (18.82%)
- Larissa Tormey (14.12%)
Connected Network (How neighbours affect this node)
Top Network Boosters (Highest Multipliers)
Weakest Connections (Lowest Multipliers)
Connection Health Audit (Red = broken 1-way link)
Inbound Posts (3)
No other posts link to this one yet.
Last calculated math cycle: May 5, 4:07 AM
Analyzing Network Connections...
👁️ 20 Views
