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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Cebu Business Park62.6 km away
  • 📍
    Cavite182.8 km away
  • 📍
    Flaviano Yengko historical marker194.4 km away
  • 📍
    Imus City194.7 km away
  • 📍
    Resorts199.6 km away

Network Profile

Overall Strength
i
4.92% of network
(22.79B)
Strength Breakdown
  • This Post (4.92%)
  • Cebu (3.83%)
  • Cebu Business Park (0.82%)
  • ASIA (0.82%)
  • Manila (0.41%)
  • Cebu City (0.27%)
  • University Belt, Manila (0.14%)
  • Society of the Philippines (0.14%)
  • Cauliflower in the Philippines (0.14%)
Dominant nodes (excluded from chart)
United Arab Emirates 46.72%China 41.80%
Influence Score
i
5.33% of network
(23.55)
Influence Breakdown
  • This Post (5.33%)
  • Cebu Business Park (32.00%)
  • Manila (16.00%)
  • Cebu (9.33%)
  • ASIA (8.00%)
  • United Arab Emirates (5.63%)
  • University Belt, Manila (5.33%)
  • Society of the Philippines (5.33%)
  • Cauliflower in the Philippines (5.33%)
  • China (5.04%)
  • Cebu City (2.67%)
Direct Connections 12

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, 6) = 6
$outbound = max(1, 6) = 6

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1

// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 36 *
                           ( 6 [Cebu Business Park] *
                            3 [Manila] *
                            28 [Cebu] *
                            6 [ASIA] *
                            342 [United Arab Emirates] *
                            1 [University Belt, Manila] *
                            1 [Society of the Philippines] *
                            1 [Cauliflower in the Philippines] *
                            306 [China] *
                            2 [Cebu City]
                           )

                         = 22.79B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 6 [Cebu Business Park] *
                            3 [Manila] *
                            1.75 [Cebu] *
                            1.5 [ASIA] *
                            1.06 [United Arab Emirates] *
                            1 [University Belt, Manila] *
                            1 [Society of the Philippines] *
                            1 [Cauliflower in the Philippines] *
                            0.9444 [China] *
                            0.5 [Cebu City]
                           )

                         = 23.55
Outbound 6 Tags on post
Inbound 6 Posts tagging this
Connections 10 Total nodes
Base Node Strength 36
Base Node Influence 1
Strength Share (vs Direct Neighbours)
4.92% (22.79B overall)
  • This Post (4.92%)
  • Cebu (3.83%)
  • Cebu Business Park (0.82%)
  • ASIA (0.82%)
  • Manila (0.41%)
  • Cebu City (0.27%)
  • University Belt, Manila (0.14%)
  • Society of the Philippines (0.14%)
  • Cauliflower in the Philippines (0.14%)
Dominant nodes (excluded from chart)
United Arab Emirates 46.72%China 41.80%
Influence Share (vs Direct Neighbours)
5.33% (23.55 overall)
  • This Post (5.33%)
  • Cebu Business Park (32.00%)
  • Manila (16.00%)
  • Cebu (9.33%)
  • ASIA (8.00%)
  • United Arab Emirates (5.63%)
  • University Belt, Manila (5.33%)
  • Society of the Philippines (5.33%)
  • Cauliflower in the Philippines (5.33%)
  • China (5.04%)
  • Cebu City (2.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Cebu Business Park ↗
Str: 6Inf: 6
Manila ↗
Str: 3Inf: 3
Cebu ↗
Str: 28Inf: 1.75
ASIA ↗
Str: 6Inf: 1.5
United Arab Emirates ↗
Str: 342Inf: 1.06
University Belt, Manila ↗
Str: 1Inf: 1
Society of the Philippines ↗
Str: 1Inf: 1
Cauliflower in the Philippines ↗
Str: 1Inf: 1
China ↗
Str: 306Inf: 0.9444
Cebu City ↗
Str: 2Inf: 0.5
Weakest Connections (Lowest Multipliers)
Cebu City ↗
Str: 2Inf: 0.5
China ↗
Str: 306Inf: 0.9444
Cauliflower in the Philippines ↗
Str: 1Inf: 1
Society of the Philippines ↗
Str: 1Inf: 1
University Belt, Manila ↗
Str: 1Inf: 1
United Arab Emirates ↗
Str: 342Inf: 1.06
ASIA ↗
Str: 6Inf: 1.5
Cebu ↗
Str: 28Inf: 1.75
Manila ↗
Str: 3Inf: 3
Cebu Business Park ↗
Str: 6Inf: 6

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

Outbound Tags (6)
ASIA
BROKEN LINK
Cauliflower in the Philippines
BROKEN LINK
Cebu City
BROKEN LINK
Manila
BROKEN LINK
Society of the Philippines
BROKEN LINK
Wikimedia movement in the Philippines
BROKEN LINK
Inbound Posts (6)
No other posts link to this one yet.
Last calculated: Oct 23, 8:53 PM
Concepcion, Romblon, Philippines37

Related Content

Locations

  • United Arab Emirates
  • ASIA
  • Cebu

Nations

  • China

Regionals

  • Cebu City
  • Manila

Topics

  • Cauliflower in the Philippines
  • Cebu Business Park
  • University Belt, Manila
  • Society of the Philippines

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