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George Street, SingaporeBattery Road, SingaporeFullerton Square, SingaporeRaffles PlaceUOB PlazaSkyscrapers at Raffles PlaceAscott Singapore Raffles PlaceChevron HouseRaffles Place MRT Station

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Raffles Place at night

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Analyzing Network Connections...

Network Profile

Overall Strength
i
1.01% of network
(90)
Strength Breakdown
  • This Post (1.01%)
  • Ascott Singapore Raffles Place (1.01%)
  • Chevron House (1.01%)
  • Raffles Place MRT Station (1.01%)
  • Skyscrapers at Raffles Place (1.01%)
  • UOB Plaza (1.01%)
  • Battery Road, Singapore (1.01%)
  • Fullerton Square, Singapore (1.01%)
  • George Street, Singapore (1.01%)
Dominant nodes (excluded from chart)
Raffles Place 90.91%
Influence Score
i
9.89% of network
(1.11)
Influence Breakdown
  • This Post (9.89%)
  • Raffles Place (10.99%)
  • Ascott Singapore Raffles Place (9.89%)
  • Chevron House (9.89%)
  • Raffles Place MRT Station (9.89%)
  • Skyscrapers at Raffles Place (9.89%)
  • UOB Plaza (9.89%)
  • Battery Road, Singapore (9.89%)
  • Fullerton Square, Singapore (9.89%)
  • George Street, Singapore (9.89%)
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 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 90 [Raffles Place] *
                            1 [Ascott Singapore Raffles Place] *
                            1 [Chevron House] *
                            1 [Raffles Place MRT Station] *
                            1 [Skyscrapers at Raffles Place] *
                            1 [UOB Plaza] *
                            1 [Battery Road, Singapore] *
                            1 [Fullerton Square, Singapore] *
                            1 [George Street, Singapore]
                           )

                         = 90

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.11 [Raffles Place] *
                            1 [Ascott Singapore Raffles Place] *
                            1 [Chevron House] *
                            1 [Raffles Place MRT Station] *
                            1 [Skyscrapers at Raffles Place] *
                            1 [UOB Plaza] *
                            1 [Battery Road, Singapore] *
                            1 [Fullerton Square, Singapore] *
                            1 [George Street, Singapore]
                           )

                         = 1.11
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 9 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.01% (90 overall)
  • This Post (1.01%)
  • Ascott Singapore Raffles Place (1.01%)
  • Chevron House (1.01%)
  • Raffles Place MRT Station (1.01%)
  • Skyscrapers at Raffles Place (1.01%)
  • UOB Plaza (1.01%)
  • Battery Road, Singapore (1.01%)
  • Fullerton Square, Singapore (1.01%)
  • George Street, Singapore (1.01%)
Dominant nodes (excluded from chart)
Raffles Place 90.91%
Influence Share (vs Direct Neighbours)
9.89% (1.11 overall)
  • This Post (9.89%)
  • Raffles Place (10.99%)
  • Ascott Singapore Raffles Place (9.89%)
  • Chevron House (9.89%)
  • Raffles Place MRT Station (9.89%)
  • Skyscrapers at Raffles Place (9.89%)
  • UOB Plaza (9.89%)
  • Battery Road, Singapore (9.89%)
  • Fullerton Square, Singapore (9.89%)
  • George Street, Singapore (9.89%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Raffles Place ↗
Str: 90Inf: 1.11
Ascott Singapore Raffles Place ↗
Str: 1Inf: 1
Chevron House ↗
Str: 1Inf: 1
Raffles Place MRT Station ↗
Str: 1Inf: 1
Skyscrapers at Raffles Place ↗
Str: 1Inf: 1
UOB Plaza ↗
Str: 1Inf: 1
Battery Road, Singapore ↗
Str: 1Inf: 1
Fullerton Square, Singapore ↗
Str: 1Inf: 1
George Street, Singapore ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
George Street, Singapore ↗
Str: 1Inf: 1
Fullerton Square, Singapore ↗
Str: 1Inf: 1
Battery Road, Singapore ↗
Str: 1Inf: 1
UOB Plaza ↗
Str: 1Inf: 1
Skyscrapers at Raffles Place ↗
Str: 1Inf: 1
Raffles Place MRT Station ↗
Str: 1Inf: 1
Chevron House ↗
Str: 1Inf: 1
Ascott Singapore Raffles Place ↗
Str: 1Inf: 1
Raffles Place ↗
Str: 90Inf: 1.11

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

Outbound Tags (1)
Raffles Place
Inbound Posts (1)
Raffles Place
Last calculated: Nov 12, 10:47 AM
7

Related Content

Topics

  • Raffles Place
  • George Street, Singapore
  • Ascott Singapore Raffles Place
  • Chevron House
  • Raffles Place MRT Station
  • Skyscrapers at Raffles Place
  • UOB Plaza
  • Battery Road, Singapore
  • Fullerton Square, Singapore

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