Spatio and Temporal Dietary Patterns

Claudia Wagner GESIS – Leibniz Institut für die Sozialwissenschaften

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Motivation

• Who eats what, when and how?

• Health– Relation between deseases and nutrition

• Sociology– Social Groups differentiate from each other by

• What they eat • How they prepare the food• When they eat• Which things they eat together

Eva Barlösius, Soziologie des Essens, Kaptitel 6, S. 146, Juventa Verlag 1999

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Motivation

• Diet monitoring is expensive– Consumer panels– NEMONIT

• One monitoring per year– NVS

• Laste one: November 2005 - Januar 2007

• 20k people• 24h Recall• Diet History Interviews• Weight protocolls

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Idea

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Data

• Most popular online recipe platform in Austria

• Recipes provided on the platform

• Server logs (Region – click – timestamp - page)

• ~180.000 Rezepte, ~1.700 Regionen

• August 2012 – November 2013

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Are the food preferences of geographically close regions more similar than those of

distant regions?

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Geographic proximity and food preferences

RecipesIngredients

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To what extent does the weekday / season impact users' diet?

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Temporal patterns

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Meat

Carbohydrates

Fish

Vegetable

Alcohol

Normalized Access Volume per Weekday

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Meat

Carbohydrates

Fish

Vegetable

Alcohol

Change Rate per Weekday

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Seasonal Nutrients

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Seasonal Nutrients

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Seasonal Nutrients

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Next Steps

• More data: chefkoch.de and maybe kochbar.de• Make data available via GESIS’ secure data center?• Algorithm for estimating nutritional values of online recipes• What drives the evolution of online food preferences?

– Can we simulate the popularity dynamics?– How does the popularity of ingredients spread across different

regions?– Weekday-specific or season-specific spreading?– How do social factors of regions impact the spreading?