Modelling human mobility patterns using photographic data shared online - Wikidata - awgldk - TriplyDB

Modelling human mobility patterns using photographic data shared online

Modelling human mobility patterns using photographic data shared online

http://www.wikidata.org/entity/Q28608227

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Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians Predicting the impact of urban flooding using open data Tracking Protests Using Geotagged Flickr Photographs Quantifying the Search Behaviour of Different Demographics Using Google Correlate Temporal and spatiotemporal investigation of tourist attraction visit sentiment on Twitter.Predicting human mobility through the assimilation of social media traces into mobility models Estimating suicide occurrence statistics using Google Trends

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P2860

Modelling human mobility patterns using photographic data shared online

http://www.wikidata.org/entity/Q28608227

description

2015 nî lūn-bûn

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2015 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

@hyw

2015 թվականի օգոստոսին հրատարակված գիտական հոդված

@hy

2015年の論文

@ja

2015年学术文章

@wuu

2015年学术文章

@zh-cn

2015年学术文章

@zh-hans

2015年学术文章

@zh-my

2015年学术文章

@zh-sg

2015年學術文章

@yue

name

Modelling human mobility patterns using photographic data shared online

@ast

Modelling human mobility patterns using photographic data shared online

@en

Modelling human mobility patterns using photographic data shared online

@nl

type

label

Modelling human mobility patterns using photographic data shared online

@ast

Modelling human mobility patterns using photographic data shared online

@en

Modelling human mobility patterns using photographic data shared online

@nl

prefLabel

Modelling human mobility patterns using photographic data shared online

@ast

Modelling human mobility patterns using photographic data shared online

@en

Modelling human mobility patterns using photographic data shared online

@nl

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Royal Society Open Science

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Modelling human mobility patterns using photographic data shared online

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Daniele Barchiesi

http://www.w3.org/2001/XMLSchema#string

Steven Bishop

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P2860

Quantifying the advantage of looking forward

Quantifying Wikipedia Usage Patterns Before Stock Market Moves

Computational social science

Modeling the worldwide spread of pandemic influenza: baseline case and containment interventions

Quantifying the semantics of search behavior before stock market moves

Quantifying crowd size with mobile phone and Twitter data.

Adaptive nowcasting of influenza outbreaks using Google searches

Quantifying International Travel Flows Using Flickr

Quantifying the relationship between financial news and the stock market

Quantifying the digital traces of Hurricane Sandy on Flickr

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10.1098/RSOS.150046

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Helen Susannah Moat

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