Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics PDF Download

Author: Atsushi Nara
Publisher: Springer Nature
ISBN: 3030830101
Category : Social Science
Languages : en
Pages : 295

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Book Description
This book discusses theoretical backgrounds, techniques and methodologies, and applications of the current state-of-the-art human dynamics research utilizing social media and geospatial big data. It describes various forms of social media and big data with location information, theory development, data collection and management techniques, and analytical methodologies to conduct human dynamics research including geographic information systems (GIS), spatiotemporal data analytics, text mining and semantic analysis, machine learning, trajectory data analysis, and geovisualization. The book also covers applied interdisciplinary research examples ranging from disaster management, public health, urban geography, and spatiotemporal information diffusion. By providing theoretical foundations, solid empirical research backgrounds, techniques, and methodologies as well as application examples from diverse interdisciplinary fields, this book will be a valuable resource to students, researchers and practitioners who utilize or plan to employ social media and big data in their work.

Author: Shih-Lung Shaw
Publisher: Springer
ISBN: 3319732471
Category : Social Science
Languages : en
Pages : 245

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Book Description
This book addresses how accelerating advances in information and communication technology, mobile technology, and location-aware technology have fundamentally changed the ways how social, political, economic and transportation systems work in today’s globally connected world. It delivers on many exciting research questions related to human dynamics at both disaggregate and aggregate levels that attract the attention of researchers from a wide range of disciplines. Human Dynamics Research involves theoretical perspectives, space-time analytics, modeling human dynamics, urban analytics, social media and big data, travel dynamics, privacy issues, development of smart cities, and problems and prospects of human dynamics research. This book includes contributions on theoretical, technical, or application aspects of human dynamics research from different disciplines. Appealing to researchers, scholars and students across a wide range of topics and disciplines including: urban studies, space-time, mobility and the internet, social media, big data, behavioral geography and spatio-temporal-network visualization, this book offers a glimpse at the cutting edge of research on human dynamics.

Author: H. Dan O'Hair
Publisher: John Wiley & Sons
ISBN: 1119751772
Category : Education
Languages : en
Pages : 452

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Book Description
Learn more about how people communicate during crises with this insightful collection of resources In Communicating Science in Times of Crisis: COVID-19 Pandemic, distinguished academics and editors H. Dan O’Hair and Mary John O’Hair have delivered an insightful collection of resources designed to shed light on the implications of attempting to communicate science to the public in times of crisis. Using the recent and ongoing coronavirus outbreak as a case study, the authors explain how to balance scientific findings with social and cultural issues, the ability of media to facilitate science and mitigate the impact of adverse events, and the ethical repercussions of communication during unpredictable, ongoing events. The first volume in a set of two, Communicating Science in Times of Crisis: COVID-19 Pandemic isolates a particular issue or concern in each chapter and exposes the difficult choices and processes facing communicators in times of crisis or upheaval. The book connects scientific issues with public policy and creates a coherent fabric across several communication studies and disciplines. The subjects addressed include: A detailed background discussion of historical medical crises and how they were handled by the scientific and political communities of the time Cognitive and emotional responses to communications during a crisis Social media communication during a crisis, and the use of social media by authority figures during crises Communications about health care-related subjects Data strategies undertaken by people in authority during the coronavirus crisis Perfect for communication scholars and researchers who focus on media and communication, Communicating Science in Times of Crisis: COVID-19 Pandemic also has a place on the bookshelves of those who specialize in particular aspects of the contexts raised in each of the chapters: social media communication, public policy, and health care.

Author: Brian H. Spitzberg
Publisher: Taylor & Francis
ISBN: 1000951871
Category : Social Science
Languages : en
Pages : 258

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Book Description
This book explores the phenomenon of distortion of information through media via the lens of the COVID-19 pandemic, and the ways in which relevant information distortion and virality have occurred in regard to the disease and its risks. Positing that the interrelated processes of misinformation, disinformation, fake news and conspiracy theories are related forms of distortion of information through media (DIM) and can only be understood through a multilevel theoretical model that incorporates message-based, individual difference, social network-based, societal and geotechnical factors, Brian H. Spitzberg develops an integrative, well-argued, and well-evidenced framework within which these issues can and should be addressed. This book offers a model for further research across such disciplines as communication, journalism/media studies, political science, sociology, cognitive psychology, social psychology, evolutionary psychology, public health, big data analytics, social network analytics, computational linguistics and geographic information sciences, and will interest researchers and students in those areas.

Author: Xinyue Ye
Publisher: Springer Nature
ISBN: 3030527344
Category : Social Science
Languages : en
Pages : 450

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Book Description
This book describes how powerful computing technology, emerging big and open data sources, and theoretical perspectives on spatial synthesis have revolutionized the way in which we investigate social sciences and humanities. It summarizes the principles and applications of human-centered computing and spatial social science and humanities research, thereby providing fundamental information that will help shape future research. The book illustrates how big spatiotemporal socioeconomic data facilitate the modelling of individuals’ economic behavior in space and time and how the outcomes of such models can reveal information about economic trends across spatial scales. It describes how spatial social science and humanities research has shifted from a data-scarce to a data-rich environment. The chapters also describe how a powerful analytical framework for identifying space-time research gaps and frontiers is fundamental to comparative study of spatiotemporal phenomena, and how research topics have evolved from structure and function to dynamic and predictive. As such this book provides an interesting read for researchers, students and all those interested in computational and spatial social sciences and humanities.

Author: Sandeep Narayan Kundu
Publisher: Springer
ISBN: 9789811676482
Category : Computers
Languages : en
Pages : 187

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Book Description
This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. With a connected world, we are generating spatial at unprecedented rates which can be harnessed for insightful analytics which define the way we analyze past events and define the future directions. This book is an anthology of applications of spatial data and analytics performed on them for gaining insights which can be used for problem solving in an urban setting. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data. The book shall benefit mature researchers and student alike to discourse a variety of urban applications which display the use of machine learning algorithms on spatial big data for real-world problem solving.

Author: Taylor Arnold
Publisher: Springer
ISBN: 9783031625657
Category : Computers
Languages : en
Pages : 0

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Book Description
This book teaches readers to integrate data analysis techniques into humanities research practices using the R programming language. Methods for general-purpose visualization and analysis are introduced first, followed by domain-specific techniques for working with networks, text, geospatial data, temporal data, and images. The book is designed to be a bridge between quantitative and qualitative methods, individual and collaborative work, and the humanities and social sciences. The second edition of the text is a significant revision, with almost every aspect of the text rewritten in some way. The most notable difference is the incorporation of new R packages such as ggplot2 and dplyr that center broad data-science concepts. This 2nd edition of Humanities Data with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis, with one chapter dedicated to each stage of the data-science pipeline (data collection, visualization, manipulation, and relational joins). Following this, text analysis, networks, temporal data, geospatial data, and image analysis each have a dedicated chapter. These are grounded in examples to move readers beyond the intimidation of adding new tools to their research. The final section of the book extends the core material with additional computer science techniques for processing large datasets. Everything is hands-on: image analysis is explained using digitized photographs from the 1930s, and networks are applied to page links on Wikipedia. After working through these examples with the provided data, code and book website, readers are prepared to apply new methods to their own work. The open source R programming language, with its myriad packages and popularity within the sciences and social sciences, is particularly well-suited to working with humanities data. R packages are also highlighted in an appendix. The methodology will have wide application in classrooms and self-study for the humanities, but also for use in linguistics, anthropology, and political science. Outside the classroom, this intersection of humanities and computing is particularly relevant for research and new modes of dissemination across archives, museums and libraries.

Author: Calazans Campelo, Cláudio Elízio
Publisher: IGI Global
ISBN: 1522524479
Category : Technology & Engineering
Languages : en
Pages : 357

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Book Description
Geographic data is a valuable source of information in modern society. By utilizing alternative sources of this data, the availability and potential applications of geographic information systems can be increased. Volunteered Geographic Information and the Future of Geospatial Data is a pivotal reference source for the latest scholarly research on information gathering from volunteers, as opposed to official agencies and private companies, to compile geospatial data. Highlighting a range of pertinent topics such as regional landscape mapping, road safety, and land usage, this book is ideally designed for researchers, academics, students, professionals, and practitioners interested in the growing area of volunteered geographic information.

Author: Daniel Sui
Publisher: Springer Science & Business Media
ISBN: 9400745877
Category : Science
Languages : en
Pages : 394

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Book Description
The phenomenon of volunteered geographic information is part of a profound transformation in how geographic data, information, and knowledge are produced and circulated. By situating volunteered geographic information (VGI) in the context of big-data deluge and the data-intensive inquiry, the 20 chapters in this book explore both the theories and applications of crowdsourcing for geographic knowledge production with three sections focusing on 1). VGI, Public Participation, and Citizen Science; 2). Geographic Knowledge Production and Place Inference; and 3). Emerging Applications and New Challenges. This book argues that future progress in VGI research depends in large part on building strong linkages with diverse geographic scholarship. Contributors of this volume situate VGI research in geography’s core concerns with space and place, and offer several ways of addressing persistent challenges of quality assurance in VGI. This book positions VGI as part of a shift toward hybrid epistemologies, and potentially a fourth paradigm of data-intensive inquiry across the sciences. It also considers the implications of VGI and the exaflood for further time-space compression and new forms, degrees of digital inequality, the renewed importance of geography, and the role of crowdsourcing for geographic knowledge production.

Author: Osvaldo Muñiz Solari
Publisher: Springer
ISBN: 4431555196
Category : Science
Languages : en
Pages : 221

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Book Description
This book is an initiative presented by the Commission on Geographical Education of the International Geographical Union. It focuses particularly on what has been learned from geospatial projects and research from the past decades of implementing geospatial technologies (GST) in formal and informal education. The objective of this publication is to inform an international audience of teachers, professionals, scholars, and policymakers about the state of the art and prospects of geospatial practices (GPs) as organized activities that use GST and lessons learned in relation to geographical education. GST make up an advanced body of knowledge developed by practitioners of geographic information systems (GIS), remote sensing (RS), global positioning systems, (GPS), and digital cartography (DC). GST have long been applied in many different sectors; however, their first use in higher education began in the early 1980s and then diffused to secondary schools during the 1990s. Starting with GIS and RS, it evolved into a much broader context, as GST expanded to include GPS and DC with new communication technologies and Internet applications. GST have been used around the world as a combination of tools and special techniques to make research, teaching, and learning more effective.