Social Media Communication Data for Recovery Detecting Socio-Economi
This book explores the possibility of using social media data for detecting socio-economic recovery activities. In the last decade, there have been intensive research activities focusing on social media during and after disasters. This approach, which vie
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Social Media Communication Data for Recovery Detecting Socio-Economic Activities Following a Disaster
Social Media Communication Data for Recovery
Yuya Shibuya
Social Media Communication Data for Recovery Detecting Socio-Economic Activities Following a Disaster
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Yuya Shibuya Graduate School of Interdisciplinary Information Studies University of Tokyo Tokyo, Japan
ISBN 978-981-15-0824-0 ISBN 978-981-15-0825-7 https://doi.org/10.1007/978-981-15-0825-7
(eBook)
© Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
For my parents.
Acknowledgements
This study was partially supported by a research grant, “Proto Award”, which the author received. The author would like to show gratitude to the Proto Corporation for providing various used-car market data and financial support and giving the opportunity to conduct interviews with used-car dealers. This study is also partially supported by the Graduate Program for Social ICT Global Creative Leaders (GCL) and by Joint Research Program No.823 at CSIC, The University of Tokyo (“Real Estate Database 1999–2016” by At Home Co., Ltd.). In addition, I would like thank my dissertation committee. They have been giving me constructive comments. Their advice has always been insightful and has improved my study.
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Contents
Part I
Introduction and Framework
1
Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1 Purpose of the Research . . . . . . . . . . . . . . . . 1.2 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 Problem Statement . . . . . . . . . . . . . . . . . . . . 1.4 Terminology . . . . . . . . . . . . . . . . . . . . . . . . . 1
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