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Tan Quee Lan Street, SingaporeMayo Street, SingaporeWeld Road, SingaporePasar Lane, SingaporeGurdwara Khalsa Dharmak SabhaStamford Primary SchoolBan San Street, SingaporeSim Lim TowerBugis MRT StationRochor MRT Station

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Network Profile

Overall Strength
i
0.33% of network
(289)
Strength Breakdown
  • This Post (0.33%)
  • Albert Mall (0.33%)
  • Bencoolen MRT Station (0.33%)
  • Bugis MRT Station (0.33%)
  • Farrer Park MRT Station (0.33%)
  • Gurdwara Khalsa Dharmak Sabha (0.33%)
  • Jalan Besar MRT Station (0.33%)
  • Masjid Abdul Gaffoor (0.33%)
  • Panoramics of Rochor (0.33%)
  • Rochor MRT Station (0.33%)
  • Sim Lim Tower (0.33%)
  • Stamford Primary School (0.33%)
  • Ban San Street, Singapore (0.33%)
  • Mayo Street, Singapore (0.33%)
  • Pasar Lane, Singapore (0.33%)
  • Tan Quee Lan Street, Singapore (0.33%)
  • Weld Road, Singapore (0.33%)
Dominant nodes (excluded from chart)
Rochor 94.44%
Influence Score
i
5.56% of network
(1)
Influence Breakdown
  • This Post (5.56%)
  • Rochor (5.56%)
  • Albert Mall (5.56%)
  • Bencoolen MRT Station (5.56%)
  • Bugis MRT Station (5.56%)
  • Farrer Park MRT Station (5.56%)
  • Gurdwara Khalsa Dharmak Sabha (5.56%)
  • Jalan Besar MRT Station (5.56%)
  • Masjid Abdul Gaffoor (5.56%)
  • Panoramics of Rochor (5.56%)
  • Rochor MRT Station (5.56%)
  • Sim Lim Tower (5.56%)
  • Stamford Primary School (5.56%)
  • Ban San Street, Singapore (5.56%)
  • Mayo Street, Singapore (5.56%)
  • Pasar Lane, Singapore (5.56%)
  • Tan Quee Lan Street, Singapore (5.56%)
  • Weld Road, Singapore (5.56%)
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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 289 [Rochor] *
                            1 [Albert Mall] *
                            1 [Bencoolen MRT Station] *
                            1 [Bugis MRT Station] *
                            1 [Farrer Park MRT Station] *
                            1 [Gurdwara Khalsa Dharmak Sabha] *
                            1 [Jalan Besar MRT Station] *
                            1 [Masjid Abdul Gaffoor] *
                            1 [Panoramics of Rochor] *
                            1 [Rochor MRT Station] *
                            1 [Sim Lim Tower] *
                            1 [Stamford Primary School] *
                            1 [Ban San Street, Singapore] *
                            1 [Mayo Street, Singapore] *
                            1 [Pasar Lane, Singapore] *
                            1 [Tan Quee Lan Street, Singapore] *
                            1 [Weld Road, Singapore]
                           )

                         = 289

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Rochor] *
                            1 [Albert Mall] *
                            1 [Bencoolen MRT Station] *
                            1 [Bugis MRT Station] *
                            1 [Farrer Park MRT Station] *
                            1 [Gurdwara Khalsa Dharmak Sabha] *
                            1 [Jalan Besar MRT Station] *
                            1 [Masjid Abdul Gaffoor] *
                            1 [Panoramics of Rochor] *
                            1 [Rochor MRT Station] *
                            1 [Sim Lim Tower] *
                            1 [Stamford Primary School] *
                            1 [Ban San Street, Singapore] *
                            1 [Mayo Street, Singapore] *
                            1 [Pasar Lane, Singapore] *
                            1 [Tan Quee Lan Street, Singapore] *
                            1 [Weld Road, Singapore]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 17 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.33% (289 overall)
  • This Post (0.33%)
  • Albert Mall (0.33%)
  • Bencoolen MRT Station (0.33%)
  • Bugis MRT Station (0.33%)
  • Farrer Park MRT Station (0.33%)
  • Gurdwara Khalsa Dharmak Sabha (0.33%)
  • Jalan Besar MRT Station (0.33%)
  • Masjid Abdul Gaffoor (0.33%)
  • Panoramics of Rochor (0.33%)
  • Rochor MRT Station (0.33%)
  • Sim Lim Tower (0.33%)
  • Stamford Primary School (0.33%)
  • Ban San Street, Singapore (0.33%)
  • Mayo Street, Singapore (0.33%)
  • Pasar Lane, Singapore (0.33%)
  • Tan Quee Lan Street, Singapore (0.33%)
  • Weld Road, Singapore (0.33%)
Dominant nodes (excluded from chart)
Rochor 94.44%
Influence Share (vs Direct Neighbours)
5.56% (1 overall)
  • This Post (5.56%)
  • Rochor (5.56%)
  • Albert Mall (5.56%)
  • Bencoolen MRT Station (5.56%)
  • Bugis MRT Station (5.56%)
  • Farrer Park MRT Station (5.56%)
  • Gurdwara Khalsa Dharmak Sabha (5.56%)
  • Jalan Besar MRT Station (5.56%)
  • Masjid Abdul Gaffoor (5.56%)
  • Panoramics of Rochor (5.56%)
  • Rochor MRT Station (5.56%)
  • Sim Lim Tower (5.56%)
  • Stamford Primary School (5.56%)
  • Ban San Street, Singapore (5.56%)
  • Mayo Street, Singapore (5.56%)
  • Pasar Lane, Singapore (5.56%)
  • Tan Quee Lan Street, Singapore (5.56%)
  • Weld Road, Singapore (5.56%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Rochor ↗
Str: 289Inf: 1
Albert Mall ↗
Str: 1Inf: 1
Bencoolen MRT Station ↗
Str: 1Inf: 1
Bugis MRT Station ↗
Str: 1Inf: 1
Farrer Park MRT Station ↗
Str: 1Inf: 1
Gurdwara Khalsa Dharmak Sabha ↗
Str: 1Inf: 1
Jalan Besar MRT Station ↗
Str: 1Inf: 1
Masjid Abdul Gaffoor ↗
Str: 1Inf: 1
Panoramics of Rochor ↗
Str: 1Inf: 1
Rochor MRT Station ↗
Str: 1Inf: 1
Sim Lim Tower ↗
Str: 1Inf: 1
Stamford Primary School ↗
Str: 1Inf: 1
Ban San Street, Singapore ↗
Str: 1Inf: 1
Mayo Street, Singapore ↗
Str: 1Inf: 1
Pasar Lane, Singapore ↗
Str: 1Inf: 1
Tan Quee Lan Street, Singapore ↗
Str: 1Inf: 1
Weld Road, Singapore ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Weld Road, Singapore ↗
Str: 1Inf: 1
Tan Quee Lan Street, Singapore ↗
Str: 1Inf: 1
Pasar Lane, Singapore ↗
Str: 1Inf: 1
Mayo Street, Singapore ↗
Str: 1Inf: 1
Ban San Street, Singapore ↗
Str: 1Inf: 1
Stamford Primary School ↗
Str: 1Inf: 1
Sim Lim Tower ↗
Str: 1Inf: 1
Rochor MRT Station ↗
Str: 1Inf: 1
Panoramics of Rochor ↗
Str: 1Inf: 1
Masjid Abdul Gaffoor ↗
Str: 1Inf: 1
Jalan Besar MRT Station ↗
Str: 1Inf: 1
Gurdwara Khalsa Dharmak Sabha ↗
Str: 1Inf: 1
Farrer Park MRT Station ↗
Str: 1Inf: 1
Bugis MRT Station ↗
Str: 1Inf: 1
Bencoolen MRT Station ↗
Str: 1Inf: 1
Albert Mall ↗
Str: 1Inf: 1
Rochor ↗
Str: 289Inf: 1

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

Outbound Tags (1)
Rochor
Inbound Posts (1)
Rochor
Last calculated: Jun 12, 4:32 PM
18

Related Content

Topics

  • Rochor
  • Panoramics of Rochor
  • Weld Road, Singapore
  • Albert Mall
  • Rochor MRT Station
  • Bencoolen MRT Station
  • Sim Lim Tower
  • Bugis MRT Station
  • Stamford Primary School
  • Farrer Park MRT Station
  • Ban San Street, Singapore
  • Gurdwara Khalsa Dharmak Sabha
  • Mayo Street, Singapore
  • Jalan Besar MRT Station
  • Pasar Lane, Singapore
  • Masjid Abdul Gaffoor
  • Tan Quee Lan Street, Singapore