Network Profile
Influence Score
19.51%
of network
(0.66665)
Direct Connections
14
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
8
Tags on post
Inbound
6
Posts tagging this
Base Node Strength
48
Base Node Influence
1.3333
Connected Nodes
6
Strength Share (vs Direct Neighbours)
- This Post (68.57%)
- Fyodor Konstantinovich Gershelman (5.71%)
- Gabriele Hoerschelmann (5.71%)
- Sergey Konstantinovich Gershelman (5.71%)
- Wilhelm Hoerschelmann (5.71%)
- Alexander Anton Hörschelmann (5.71%)
- Leopold Hörschelmann (2.86%)
Influence Share (vs Direct Neighbours)
- This Post (19.51%)
- Fyodor Konstantinovich Gershelman (14.63%)
- Gabriele Hoerschelmann (14.63%)
- Sergey Konstantinovich Gershelman (14.63%)
- Wilhelm Hoerschelmann (14.63%)
- Alexander Anton Hörschelmann (14.63%)
- Leopold Hörschelmann (7.32%)
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, 2:43 AM
Analyzing Network Connections...
👁️ 19 Views