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Analytics in Smart Tourism Design

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Cover of 'Analytics in Smart Tourism Design'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Analytics in Tourism Design
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    Chapter 2 Predicting Tourist Demand Using Big Data
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    Chapter 3 Travel Demand Modeling with Behavioral Data
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    Chapter 4 Measuring Human Senses and the Touristic Experience: Methods and Applications
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    Chapter 5 The Quantified Traveler: Implications for Smart Tourism Development
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    Chapter 6 Geospatial Analytics for Park & Protected Land Visitor Reservation Data
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    Chapter 7 GIS Monitoring of Traveler Flows Based on Big Data
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    Chapter 8 Sensing the Online Social Sphere Using a Sentiment Analytical Approach
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    Chapter 9 Estimating the Effect of Online Consumer Reviews: An Application of Count Data Models
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    Chapter 10 Tourism Intelligence and Visual Media Analytics for Destination Management Organizations
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    Chapter 11 Online Travel Reviews: A Massive Paratextual Analysis
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    Chapter 12 Conceptualizing and Measuring Online Behavior Through Social Media Metrics
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    Chapter 13 Sochi Olympics on Twitter: Topics, Geographical Landscape, and Temporal Dynamics
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    Chapter 14 Leveraging Online Reviews in the Hotel Industry
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    Chapter 15 Evaluating Destination Communications on the Internet
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    Chapter 16 Market Intelligence: Social Media Analytics and Hotel Online Reviews
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    Chapter 17 Big Data Analytics, Tourism Design and Smart Tourism
Attention for Chapter 13: Sochi Olympics on Twitter: Topics, Geographical Landscape, and Temporal Dynamics
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Chapter title
Sochi Olympics on Twitter: Topics, Geographical Landscape, and Temporal Dynamics
Chapter number 13
Book title
Analytics in Smart Tourism Design
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-44263-1_13
Book ISBNs
978-3-31-944262-4, 978-3-31-944263-1
Authors

Andrei P. Kirilenko, Svetlana O. Stepchenkova

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 60%
Researcher 1 20%
Unknown 1 20%
Readers by discipline Count As %
Social Sciences 2 40%
Sports and Recreations 1 20%
Arts and Humanities 1 20%
Unknown 1 20%