Search results for: social-data-science-hardback

Urban Analytics with Social Media Data

Author : Tan Yigitcanlar
File Size : 41.90 MB
Format : PDF, ePub, Mobi
Download : 721
Read : 566
Download »
The use of data science and urban analytics has become a defining feature of smart cities. This timely book is a clear guide to the use of social media data for urban analytics. The book presents the foundations of urban analytics with social media data, along with real-world applications and insights on the platforms we use today. It looks at social media analytics platforms, cyberphysical data analytics platforms, crowd detection platforms, City-as-a-Platform, and city-as-a-sensor for platform urbanism. The book provides examples to illustrate how we apply and analyse social media data to determine disaster severity, assist authorities with pandemic policy, and capture public perception of smart cities. This will be a useful reference for those involved with and researching social, data, and urban analytics and informatics.

Introduction to Data Science for Social and Policy Research

Author : Jose Manuel Magallanes Reyes
File Size : 29.96 MB
Format : PDF, Kindle
Download : 902
Read : 1211
Download »
Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but approachable guide describes all the tools needed to collect data and prepare it for analysis. Offering detailed, step-by-step instructions, it covers collection of many different types of data including web files, APIs, and maps; data cleaning; data formatting; the integration of different sources into a comprehensive data set; and storage using third-party tools to facilitate access and shareability, from Google Docs to GitHub. Assuming no prior knowledge of R and Python, the author introduces programming concepts gradually, using real data sets that provide the reader with practical, functional experience.

Big Data Analytics

Author : Mrutyunjaya Panda
File Size : 27.68 MB
Format : PDF, Docs
Download : 581
Read : 573
Download »
Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such complex and vast amounts of data, necessitating the development of novel analytic approaches and tools. This reference work deals with social network aspects of big data analytics. It covers theory, practices and challenges in social networking. The book spans numerous disciplines like neural networking, deep learning, artificial intelligence, visualization, e-learning in higher education, e-healthcare, security and intrusion detection.

Social Insects

Author : M. V. Brian
File Size : 55.38 MB
Format : PDF, ePub
Download : 115
Read : 1301
Download »
Here is a guide to the ecology of social insects. It is intended for general ecologists and entomologists as well as for undergraduates and those about to start research on social insects; even the experienced investigator may find the comparison between different groups of social insects illuminating. Most technical terms are translated into common language as far as can be done without loss of accuracy but scientific names are unavoidable. Readers will become familiar with the name even though they cannot visualize the animal and could reflect that only a very few of the total species have been studied so far! References too are essential and with these it should be possible to travel more deeply into the vast research literature, still increasing monthly. When I have cited an author in another author's paper, this implies that I have not read the original and the second author must take responsi bility for accuracy! Many hands and heads have helped to make this book. I thank all my colleagues past and present for their enduring though critical support, and I thank with special pleasure: E. ]. M. Evesham who fashioned the diagrams; ]. Free, D. J. Stradling and]. P. E. C. Darlington who supplied photographs; D. Y. Brian and R. A. Weller who were meticulous on the linguistic side; and G. Frith and R. M. Jones who collated the references. List of plates 1. Fungus combs of Acromyrmex octospinosus and Macrotermes michaelseni. 13 2. Mouthparts of larval Myrmica.

Social Data Analytics

Author : Amin Beheshti
File Size : 85.84 MB
Format : PDF, Docs
Download : 295
Read : 707
Download »
The book provides an introduction to social data analytics along with its challenges and opportunities. It chiefly focuses on concepts, techniques and methods for organizing, curating, processing and analyzing big social data: from text to image and video analytics. It also provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery. It covers a large body of knowledge on to help practitioners and researchers understand the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics. It provides an introduction to these fields by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics. The key highlights of the book are that it covers a vast amount of literature to help practitioners and researchers understand the problems, concepts, methods and tools involved in modern social data analytics. It also includes a wealth of material to choose from for courses in data science and analytics. The book provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry.

Societal Dimensions of Environmental Science

Author : Ricardo D. Lopez
File Size : 38.68 MB
Format : PDF, ePub, Mobi
Download : 767
Read : 601
Download »
Societal Dimensions of Environmental Science: Global Case Studies of Collaboration and Transformation, brings together several key examples of the successes and the challenges that exist for environmental stakeholders trying to strike a balance between science and the societal implications of the issues involved. This book provides important methods and approaches necessary for informed decision making and a better understanding of the common threads of learning, collaboration, negotiation, and compromise. It also explains that concepts and skills needed to better understand how specific project goals can be best achieved in the rapidly changing field of environmental management, by providing practical situations and solutions, across a global landscape. This book provides anyone who works in a community setting with the necessary tools and strategies for solving environmental problems and achieving the goals of an environmental project of any type and specifically addresses the topic of how to synthesize community engagement and the environmental science. It describes current environmental issues and lessons learned of what works and what doesn’t work in real situations, and why. It also highlights key examples, which can be used by both management practitioners and research scientists in their specific circumstances. Showcasing a unique compilation of the diverse and specific examples from societies in Asia, Oceania, North America, and the Middle East, with an equally diverse array of authorship, this book serves all policy makers, scientists, organizers, and community members that desire to build better group dynamics for addressing environmental issues.

The Real Work of Data Science

Author : Ron S. Kenett
File Size : 38.62 MB
Format : PDF, ePub, Mobi
Download : 967
Read : 1061
Download »
The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now "the world's most valuable resource." But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is "the most valuable resource." "These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it." —Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy "I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data." —Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University "Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers." —A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University

Data Science

Author : John D. Kelleher
File Size : 31.16 MB
Format : PDF, Docs
Download : 884
Read : 697
Download »
A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges. It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

Rethinking Society for the 21st Century Volume 1 Socio Economic Transformations

Author : International Panel on Social Progress (IPSP)
File Size : 29.38 MB
Format : PDF, ePub, Mobi
Download : 671
Read : 197
Download »
This is the first of three volumes containing a report from the International Panel on Social Progress (IPSP). The IPSP is an independent association of top research scholars with the goal of assessing methods for improving the main institutions of modern societies. Written in accessible language by scholars across the social sciences and humanities, these volumes assess the achievements of world societies in past centuries, the current trends, the dangers that we are now facing, and the possible futures in the twenty-first century. It covers the main socio-economic, political, and cultural dimensions of social progress, global as well as regional issues, and the diversity of challenges and their interplay around the world. This particular volume covers topics such as economic inequality and growth, finance and corporations, labor, capitalism, and social justice.

New Society

Author :
File Size : 44.17 MB
Format : PDF
Download : 650
Read : 942
Download »