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Network Profile

Overall Strength
i
1.59% of network
(56)
Strength Breakdown
  • This Post (1.59%)
  • Jaromír Skála (1.59%)
  • Jaroslav Skála (1.59%)
  • Josef Skála (1.59%)
  • Petr Skála (1.59%)
  • Romuald Skála (1.59%)
  • Viktor Skála (1.59%)
Dominant nodes (excluded from chart)
Skála 88.89%
Influence Score
i
12.28% of network
(1.14)
Influence Breakdown
  • This Post (12.28%)
  • Skála (14.04%)
  • Jaromír Skála (12.28%)
  • Jaroslav Skála (12.28%)
  • Josef Skála (12.28%)
  • Petr Skála (12.28%)
  • Romuald Skála (12.28%)
  • Viktor Skála (12.28%)
Direct Connections 2

Node & Network Details

How is this calculated?

The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.

// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 1) = 1
$outbound = max(1, 1) = 1

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1

// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 56 [Skála] *
                            1 [Jaromír Skála] *
                            1 [Jaroslav Skála] *
                            1 [Josef Skála] *
                            1 [Petr Skála] *
                            1 [Romuald Skála] *
                            1 [Viktor Skála]
                           )

                         = 56

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.14 [Skála] *
                            1 [Jaromír Skála] *
                            1 [Jaroslav Skála] *
                            1 [Josef Skála] *
                            1 [Petr Skála] *
                            1 [Romuald Skála] *
                            1 [Viktor Skála]
                           )

                         = 1.14
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 7 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.59% (56 overall)
  • This Post (1.59%)
  • Jaromír Skála (1.59%)
  • Jaroslav Skála (1.59%)
  • Josef Skála (1.59%)
  • Petr Skála (1.59%)
  • Romuald Skála (1.59%)
  • Viktor Skála (1.59%)
Dominant nodes (excluded from chart)
Skála 88.89%
Influence Share (vs Direct Neighbours)
12.28% (1.14 overall)
  • This Post (12.28%)
  • Skála (14.04%)
  • Jaromír Skála (12.28%)
  • Jaroslav Skála (12.28%)
  • Josef Skála (12.28%)
  • Petr Skála (12.28%)
  • Romuald Skála (12.28%)
  • Viktor Skála (12.28%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Skála ↗
Str: 56Inf: 1.14
Jaromír Skála ↗
Str: 1Inf: 1
Jaroslav Skála ↗
Str: 1Inf: 1
Josef Skála ↗
Str: 1Inf: 1
Petr Skála ↗
Str: 1Inf: 1
Romuald Skála ↗
Str: 1Inf: 1
Viktor Skála ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Viktor Skála ↗
Str: 1Inf: 1
Romuald Skála ↗
Str: 1Inf: 1
Petr Skála ↗
Str: 1Inf: 1
Josef Skála ↗
Str: 1Inf: 1
Jaroslav Skála ↗
Str: 1Inf: 1
Jaromír Skála ↗
Str: 1Inf: 1
Skála ↗
Str: 56Inf: 1.14

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (1)
Skála
Inbound Posts (1)
Skála
Last calculated: Sep 23, 11:05 PM
18

Related Content

Topics

  • Petr Skála
  • Romuald Skála
  • Viktor Skála
  • Skála
  • Jaromír Skála
  • Jaroslav Skála
  • Josef Skála