Big Data Untuk Ilmu Sosial
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Big Data Untuk Ilmu Sosial
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Author : Novi Kurnia
language : id
Publisher: UGM PRESS
Release Date : 2021-10-21
Big Data Untuk Ilmu Sosial written by Novi Kurnia and has been published by UGM PRESS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-21 with Social Science categories.
Buku ini berisi pemanfaatan data raksasa (big data) dalam ilmu sosial dan politik. Big data dalam konteks ini memiliki dua ciri utama yakni skalanya yang raksasa (bukan data kecil atau small data), dan tipe datanya yang sudah terdigitalisasi. Big data telah dianggap sebagai sumberdaya baru yang sangat berharga di era revolusi 4.0 ini. Saking berharganya, di masa depan, big data diproyeksikan sebagai "the new oil", yakni sumber daya baru yang harganya setara dengan minyak bumi. Kebaruan yang ditawarkan big data bagi ilmu sosial politik terkait dua aspek utama yakni sebagai subyek kajian baru, dan sebagai metode penelitian. Sebagai subyek kajian, keberadaan big data, didapat dan dikumpulkan oleh negara pada warganya, dan oleh pelaku bisnis terhadap konsumen/pengguna layanan. Pelaku bisnis mengumpulkan data melalui mekanisme user-generating (dilakukan sendiri oleh pengguna) melalui media sosial, atau melalui data pengguna aplikasi di telepon seluler, dan penggunaan aplikasi tsb secara regular (dengan data di dalamnya). Pemilikan data raksasa baik oleh negara dan oleh pelaku bisnis, pada akhirnya menghasilkan fenomena sosial politik yakni makin meleburnya apa yang disebut sebagai wilayah privat (individual) dan wilayah publik; dan makin tergerusnya otonomi individual. Negara, atas nama alasan keamanan misalnya, memonitor dan mengawasi perilaku warganya dengan data yang mereka miliki. Pelaku bisnis menggunakan big data, yang disetorkan sendiri oleh para pengguna layanan, untuk menghasilkan algoritma perilaku pengguna layanan secara individual. Sebagai metode penelitian, big data merupakan bagian dari kegiatan penelitian yang terentang dari pengumpulan data sampai dengan analisa hasil penelitian, dalam memahami sebuah fenomena sosial. Data tidak lagi dikumpulkan melalui kegiatan penelitian lapangan secara tradisional, melainkan melalui pengumpulan data secara online. Data bersumber dari percakapan di media sosial (Facebook dan Twitter) dan pemberitaan di media daring. Data digital lain dapat juga digunakan dalam penelitian ilmu sosial seperti data satelit yang memetakan peta fisik sebuah wilayah dengan rentangan waktu yang lama, data cuaca, dll. Penelitian berbasis big data telah mendorong dilakukannya kajian lintas disiplin, antara ilmu sosial sendiri dan disiplin keilmuan terkait data seperti ilmu komputer, statistik, dan ilmu tentang data (data scientist). Buku ini juga berisi aspek praktis, how to, terkait bagaimana melakukan penelitian berbasis big data. Para penulis yang berasal dari semua disiplin yang ada di Fakultas Ilmu Sosial dan Ilmu Politik, memaparkan bagaimana masing-masing disiplin melakukan penelitian dengan metode big data, dengan sumber data berasal dari percakapan media sosial dan media daring.
Big Data
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Author : John Storm Pedersen
language : en
Publisher: Edward Elgar Publishing
Release Date : 2019
Big Data written by John Storm Pedersen and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Political Science categories.
Promise, Application and Pitfalls
Big Data
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Author : Saswat Sarangi
language : en
Publisher: Taylor & Francis
Release Date : 2019-09-09
Big Data written by Saswat Sarangi and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-09 with Social Science categories.
Big Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terabytes that will continue to shape our lives in ways imagined and unimagined. Drawing on case studies like Amazon, Facebook, the FIFA World Cup and the Aadhaar scheme, this book looks at how Big Data is changing the way we behave, consume and respond to situations in the digital age. It looks at how Big Data has the potential to transform disaster management and healthcare, as well as prove to be authoritarian and exploitative in the wrong hands. The latest offering from the authors of Artificial Intelligence: Evolution, Ethics and Public Policy, this accessibly written volume is essential for the researcher in science and technology studies, media and culture studies, public policy and digital humanities, as well as being a beacon for the general reader to make sense of the digital age.
Big Data A New Medium
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Author : Natasha Lushetich
language : en
Publisher: Routledge
Release Date : 2020-11-26
Big Data A New Medium written by Natasha Lushetich and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-26 with Social Science categories.
Drawing on a range of methods from across science and technology studies, digital humanities and digital arts, this book presents a comprehensive view of the big data phenomenon. Big data architectures are increasingly transforming political questions into technical management by determining classificatory systems in the social, educational, and healthcare realms. Data, and their multiple arborisations, have become new epistemic landscapes. They have also become new existential terrains. The fundamental question is: can big data be seen as a new medium in the way photography or film were when they first appeared? No new medium is ever truly new. It’s always remediation of older media. What is new is the medium’s re-articulation of the difference between here and there, before and after, yours and mine, knowable and unknowable, possible and impossible. This transdisciplinary volume, incorporating cultural and media theory, art, philosophy, history, and political philosophy is a key resource for readers interested in digital humanities, cultural, and media studies.
Social Network Based Big Data Analysis And Applications
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Author : Mehmet Kaya
language : en
Publisher: Springer
Release Date : 2018-05-10
Social Network Based Big Data Analysis And Applications written by Mehmet Kaya and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-10 with Social Science categories.
This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services. Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2016), which was held in August 2016. The papers were among the best featured at the meeting and were then improved and extended substantially. Social Network Based Big Data Analysis and Applications will appeal to students and researchers in the field.
Social Big Data Mining
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Author : Hiroshi Ishikawa
language : en
Publisher: CRC Press
Release Date : 2015-03-25
Social Big Data Mining written by Hiroshi Ishikawa and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-25 with Computers categories.
This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social big data applications, and scalability. It explains
Highlighting The Importance Of Big Data Management And Analysis For Various Applications
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Author : Mohammad Moshirpour
language : en
Publisher: Springer
Release Date : 2017-08-22
Highlighting The Importance Of Big Data Management And Analysis For Various Applications written by Mohammad Moshirpour and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-22 with Business & Economics categories.
This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featuring chapters which discuss effective and efficient approaches in dealing with the inherent complexity and increasing demands in data science, a variety of application domains are covered. Various case studies by data management and analysis experts are presented in these chapters. Covered applications include banking, social networks, bioinformatics, healthcare, transportation and criminology. Highlighting the Importance of Big Data Management and Analysis for Various Applications will provide the reader with an understanding of how data management and analysis are adapted to these applications. This book will appeal to researchers and professionals in the field.
Big Data In Information Society And Digital Economy
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Author : Aleksei V. Bogoviz
language : en
Publisher: Springer Nature
Release Date : 2023-05-02
Big Data In Information Society And Digital Economy written by Aleksei V. Bogoviz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-02 with Computers categories.
This book redefines the essence of the information society and the digital economy, offering a new approach to their management and organization based on big data. The novelty of the new approach is that it ensures the use of the advanced technological capabilities of the Fourth Industrial Revolution to accelerate socio-economic development. The success of the new approach is based on progressive social institutions and advanced big data technology. Theoretical issues, methodological developments, and the author’s applied recommendations are consistently presented in forty chapters distributed in five sections. The book contains cases that reveal the practical experience of the Eurasian Economic Union (EAEU). The intended readership of the book is scientists. The book is interesting and useful for them because it presents an innovative model of information society and digital economy development driven by big data.
Big Data And Social Science
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Author : Ian Foster
language : en
Publisher: CRC Press
Release Date : 2020-11-17
Big Data And Social Science written by Ian Foster and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-17 with Mathematics categories.
Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations. Features: Takes an accessible, hands-on approach to handling new types of data in the social sciences Presents the key data science tools in a non-intimidating way to both social and data scientists while keeping the focus on research questions and purposes Illustrates social science and data science principles through real-world problems Links computer science concepts to practical social science research Promotes good scientific practice Provides freely available workbooks with data, code, and practical programming exercises, through Binder and GitHub New to the Second Edition: Increased use of examples from different areas of social sciences New chapter on dealing with Bias and Fairness in Machine Learning models Expanded chapters focusing on Machine Learning and Text Analysis Revamped hands-on Jupyter notebooks to reinforce concepts covered in each chapter This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner.
Big Data
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Author : Benoit Leclerc
language : en
Publisher: Routledge
Release Date : 2020-02-14
Big Data written by Benoit Leclerc and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-14 with Computers categories.
The internet has launched the world into an era into which enormous amounts of data are generated every day through technologies with both positive and negative consequences. This often refers to big data . This book explores big data in organisations operating in the criminology and criminal justice fields. Big data entails a major disruption in the ways we think about and do things, which certainly applies to most organisations including those operating in the criminology and criminal justice fields. Big data is currently disrupting processes in most organisations – how different organisations collaborate with one another, how organisations develop products or services, how organisations can identify, recruit, and evaluate talent, how organisations can make better decisions based on empirical evidence rather than intuition, and how organisations can quickly implement any transformation plan, to name a few. All these processes are important to tap into, but two underlying processes are critical to establish a foundation that will permit organisations to flourish and thrive in the era of big data – creating a culture more receptive to big data and implementing a systematic data analytics-driven process within the organisation. Written in a clear and direct style, this book will appeal to students and scholars in criminology, criminal justice, sociology, and cultural studies but also to government agencies, corporate and non-corporate organisations, or virtually any other institution impacted by big data.