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San Jose, California

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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Exhumed4.0 km away
  • Thumbnail for Doobie Brothers
    Doobie Brothers4.0 km away
  • 📍
    Peralta Adobe4.1 km away
  • 📍
    County of Santa Clara Health System5.4 km away
  • Thumbnail for Valley Medical Center
    Valley Medical Center5.5 km away

Network Profile

Overall Strength
i
75.00% of network
(9)
Strength Breakdown
  • This Post (75.00%)
  • Geography of San Jose, California (8.33%)
  • Postcards of San Jose, California (8.33%)
  • Transport in San Jose, California (8.33%)
Influence Score
i
25.00% of network
(1)
Influence Breakdown
  • This Post (25.00%)
  • Geography of San Jose, California (25.00%)
  • Postcards of San Jose, California (25.00%)
  • Transport in San Jose, California (25.00%)
Direct Connections 6

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, 3) = 3
$outbound = max(1, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1

// 3. Exponential Network Values (accumulating 3 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 1 [Geography of San Jose, California] *
                            1 [Postcards of San Jose, California] *
                            1 [Transport in San Jose, California]
                           )

                         = 9

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Geography of San Jose, California] *
                            1 [Postcards of San Jose, California] *
                            1 [Transport in San Jose, California]
                           )

                         = 1
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 3 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
75.00% (9 overall)
  • This Post (75.00%)
  • Geography of San Jose, California (8.33%)
  • Postcards of San Jose, California (8.33%)
  • Transport in San Jose, California (8.33%)
Influence Share (vs Direct Neighbours)
25.00% (1 overall)
  • This Post (25.00%)
  • Geography of San Jose, California (25.00%)
  • Postcards of San Jose, California (25.00%)
  • Transport in San Jose, California (25.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Geography of San Jose, California ↗
Str: 1Inf: 1
Postcards of San Jose, California ↗
Str: 1Inf: 1
Transport in San Jose, California ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Transport in San Jose, California ↗
Str: 1Inf: 1
Postcards of San Jose, California ↗
Str: 1Inf: 1
Geography of San Jose, California ↗
Str: 1Inf: 1

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

Outbound Tags (3)
Geography of San Jose, California
Postcards of San Jose, California
Transport in San Jose, California
Inbound Posts (3)
Geography of San Jose, California
Postcards of San Jose, California
Transport in San Jose, California
Last calculated: Jun 28, 7:25 AM
San Jose, Santa Clara County, United States40

Related Content

Topics

  • Geography of San Jose, California
  • Postcards of San Jose, California
  • Transport in San Jose, California