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Who Wants to Be a MillionaireEmeril LagasseThe Princess and the FrogLast HolidayEat the World with Emeril Lagasse

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Emeril

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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Burt Young383.2 km away
  • Thumbnail for Newfoundland and Labrador
    Newfoundland and Labrador415.5 km away
  • 📍
    NEWFOUNDLAND415.5 km away
  • 📍
    Tom Gears462.1 km away

Network Profile

Overall Strength
i
0.27% of network
(291.6K)
Strength Breakdown
  • This Post (0.27%)
  • Emeril Lagasse (6.87%)
  • The Princess and the Frog (2.47%)
  • Last Holiday (1.10%)
  • Eat the World with Emeril Lagasse (0.27%)
Dominant nodes (excluded from chart)
Who Wants to Be a Millionaire 89.01%
Influence Score
i
16.67% of network
(1)
Influence Breakdown
  • This Post (16.67%)
  • The Princess and the Frog (16.67%)
  • Who Wants to Be a Millionaire (16.67%)
  • Last Holiday (16.67%)
  • Emeril Lagasse (16.67%)
  • Eat the World with Emeril Lagasse (16.67%)
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 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 9 [The Princess and the Frog] *
                            324 [Who Wants to Be a Millionaire] *
                            4 [Last Holiday] *
                            25 [Emeril Lagasse] *
                            1 [Eat the World with Emeril Lagasse]
                           )

                         = 291.6K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [The Princess and the Frog] *
                            1 [Who Wants to Be a Millionaire] *
                            1 [Last Holiday] *
                            1 [Emeril Lagasse] *
                            1 [Eat the World with Emeril Lagasse]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 5 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.27% (291.6K overall)
  • This Post (0.27%)
  • Emeril Lagasse (6.87%)
  • The Princess and the Frog (2.47%)
  • Last Holiday (1.10%)
  • Eat the World with Emeril Lagasse (0.27%)
Dominant nodes (excluded from chart)
Who Wants to Be a Millionaire 89.01%
Influence Share (vs Direct Neighbours)
16.67% (1 overall)
  • This Post (16.67%)
  • The Princess and the Frog (16.67%)
  • Who Wants to Be a Millionaire (16.67%)
  • Last Holiday (16.67%)
  • Emeril Lagasse (16.67%)
  • Eat the World with Emeril Lagasse (16.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
The Princess and the Frog ↗
Str: 9Inf: 1
Who Wants to Be a Millionaire ↗
Str: 324Inf: 1
Last Holiday ↗
Str: 4Inf: 1
Emeril Lagasse ↗
Str: 25Inf: 1
Eat the World with Emeril Lagasse ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Eat the World with Emeril Lagasse ↗
Str: 1Inf: 1
Emeril Lagasse ↗
Str: 25Inf: 1
Last Holiday ↗
Str: 4Inf: 1
Who Wants to Be a Millionaire ↗
Str: 324Inf: 1
The Princess and the Frog ↗
Str: 9Inf: 1

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

Outbound Tags (1)
Emeril Lagasse
Inbound Posts (1)
Emeril Lagasse
Last calculated: Jun 24, 5:50 AM
Newfoundland and Labrador, Canada24

Related Content

Actors

  • Last Holiday
  • Emeril Lagasse

Films

  • The Princess and the Frog
  • Who Wants to Be a Millionaire
  • Eat the World with Emeril Lagasse