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K. S. ManilalNeuadd ReichelMemorial Building, Bangor UniversityPeople associated with Bangor University

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Memorial Building

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Bangor University

Analyzing Network Connections...

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  • 📍
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Network Profile

Overall Strength
i
28.57% of network
(4)
Strength Breakdown
  • This Post (28.57%)
  • Memorial Building, Bangor University (28.57%)
  • K. S. Manilal (14.29%)
  • Neuadd Reichel (14.29%)
  • People associated with Bangor University (14.29%)
Influence Score
i
28.57% of network
(4)
Influence Breakdown
  • This Post (28.57%)
  • Memorial Building, Bangor University (28.57%)
  • K. S. Manilal (14.29%)
  • Neuadd Reichel (14.29%)
  • People associated with Bangor University (14.29%)
Direct Connections 3

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, 2) = 2
$outbound = max(1, 1) = 1

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

// 3. Exponential Network Values (accumulating 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 2 *
                           ( 2 [Memorial Building, Bangor University] *
                            1 [K. S. Manilal] *
                            1 [Neuadd Reichel] *
                            1 [People associated with Bangor University]
                           )

                         = 4

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 2 *
                           ( 2 [Memorial Building, Bangor University] *
                            1 [K. S. Manilal] *
                            1 [Neuadd Reichel] *
                            1 [People associated with Bangor University]
                           )

                         = 4
Outbound 2 Tags on post
Inbound 1 Posts tagging this
Connections 4 Total nodes
Base Node Strength 2
Base Node Influence 2
Strength Share (vs Direct Neighbours)
28.57% (4 overall)
  • This Post (28.57%)
  • Memorial Building, Bangor University (28.57%)
  • K. S. Manilal (14.29%)
  • Neuadd Reichel (14.29%)
  • People associated with Bangor University (14.29%)
Influence Share (vs Direct Neighbours)
28.57% (4 overall)
  • This Post (28.57%)
  • Memorial Building, Bangor University (28.57%)
  • K. S. Manilal (14.29%)
  • Neuadd Reichel (14.29%)
  • People associated with Bangor University (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Memorial Building, Bangor University ↗
Str: 2Inf: 2
K. S. Manilal ↗
Str: 1Inf: 1
Neuadd Reichel ↗
Str: 1Inf: 1
People associated with Bangor University ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
People associated with Bangor University ↗
Str: 1Inf: 1
Neuadd Reichel ↗
Str: 1Inf: 1
K. S. Manilal ↗
Str: 1Inf: 1
Memorial Building, Bangor University ↗
Str: 2Inf: 2

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

Outbound Tags (2)
bangor university
BROKEN LINK
Memorial Building, Bangor University
Inbound Posts (1)
Memorial Building, Bangor University
Last calculated: Jun 12, 11:16 AM
Detroit, Wayne County, United States18

Related Content

Topics

  • Neuadd Reichel
  • People associated with Bangor University
  • Memorial Building, Bangor University
  • K. S. Manilal