web social science concepts data and tools for social scientists in the digital age

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Web Social Science

Author : Robert Ackland
ISBN : 9781446281550
Genre : Social Science
File Size : 46. 63 MB
Format : PDF, Docs
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'Although written simply enough to be accessible to undergraduates, accomplished scholars are likely to appreciate it too. Reading it taught me quite a lot about a subject I thought I knew rather well. ' - Paul Vogt, Emeritus Professor, Illinois State University 'This book brings the art and science of building and applying innovative online research tools to students and faculty across the social sciences.' - Professor William H. Dutton, Oxford Internet Institute, University of Oxford A comprehensive guide to the theory and practice of web Social Science. This book demonstrates how the web is being used to collect social research data, such as online surveys and interviews, as well as digital trace data from social media environments, such as Facebook and Twitter. It also illuminates how the advent of the web has led to traditional social science concepts and approaches being combined with those from other scientific disciplines, leading to new insights into social, political and economic behaviour. Situating social sciences in the digital age, this book aids: understanding of the fundamental changes to society, politics and the economy that have resulted from the advent of the web choice of appropriate data, tools and research methods for conducting research using web data learning how web data are providing new insights into long-standing social science research questions appreciation of how social science can facilitate an understanding of life in the digital age It is ideal for students and researchers across the social sciences, as well as those from information science, computer science and engineering who want to learn about how social scientists are thinking about and researching the web.

Combating Violent Extremism And Radicalization In The Digital Era

Author : Khader, Majeed
ISBN : 9781522501572
Genre : Social Science
File Size : 85. 23 MB
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Advances in digital technologies have provided ample positive impacts to modern society; however, in addition to such benefits, these innovations have inadvertently created a new venue for criminal activity to generate. Combating Violent Extremism and Radicalization in the Digital Era is an essential reference for the latest research on the utilization of online tools by terrorist organizations to communicate with and recruit potential extremists and examines effective countermeasures employed by law enforcement agencies to defend against such threats. Focusing on perspectives from the social and behavioral sciences, this book is a critical source for researchers, analysts, intelligence officers, and policy makers interested in preventive methods for online terrorist activities.

Social Networking

Author : Anastacia Kurylo
ISBN : 9781611477399
Genre : Social Science
File Size : 66. 35 MB
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This book explores the phenomenon of online social networking in the contexts of a global multicultural society caught in the turmoil of the information and communication revolution. It offers readers an up-to-date overview of the field and pushes the area into new understandings of the topic within a multidimensional space.

Innovations In Digital Research Methods

Author : Peter Halfpenny
ISBN : 9781473926950
Genre : Social Science
File Size : 88. 94 MB
Format : PDF, ePub
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Vast amounts of digital data are now generated daily by people as they go about their lives, yet social researchers are struggling to exploit it. At the same time, the challenges faced by society in the 21st century are growing ever more complex, and demands research that is bigger in scale, more collaborative and multi-disciplinary than ever before. This cutting-edge volume provides an accessible introduction to innovative digital social research tools and methods that harness this ‘data deluge’ and successfully tackle key research challenges. Contributions from leading international researchers cover topics such as: Qualitative, quantitative and mixed methods research Data management Social media and social network analysis Modeling and simulation Survey methods Visualizing social data Ethics and e-research The future of social research in the digital age This vibrant introduction to innovative digital research methods is essential reading for anyone conducting social research today.

Web And Network Data Science

Author : Thomas W. Miller
ISBN : 9780133887648
Genre : Computers
File Size : 38. 36 MB
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Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.

Modeling Techniques In Predictive Analytics With Python And R

Author : Thomas W. Miller
ISBN : 9780133892147
Genre : Computers
File Size : 49. 1 MB
Format : PDF
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Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more

Modeling Techniques In Predictive Analytics

Author : Thomas W. Miller
ISBN : 9780133886191
Genre : Computers
File Size : 31. 81 MB
Format : PDF, Kindle
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To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories. Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. Unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations–not complex math. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work–and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. All data sets, extensive R code, and additional examples available for download at http://www.ftpress.com/miller If you want to make the most of predictive analytics, data science, and big data, this is the book for you. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business cases and challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic R programs that deliver actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Throughout, Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. This edition adds five new case studies, updates all code for the newest versions of R, adds more commenting to clarify how the code works, and offers a more detailed and up-to-date primer on data science methods. Gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more

Author : Robert B. Cialdini
ISBN : 9789960547466
Genre : Business & Economics
File Size : 58. 45 MB
Format : PDF, Kindle
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التأثير, الكتاب الكلاسيكي حول عملية الإقناع, يشرح مبادئ علم النفس التي تقف وراء قول الناس «نعم» لأي طلب كان, كما يشرح كيفية تطبيق فهم هذه المبادئ. الدكتور روبرت سيالديني مدرّس خبير في حقلي التأثير والإقناع المتناميين بسرعة. إن هذا الكتاب الذي ينظر إليه في الأوساط العلمية نظرة مرموقة جداً؛ فهو حصيلة خمس وثلاثين سنة من الأبحاث الدقيقة المعتمدة على الأدلة القوية، إضافة إلى برنامج استمر ثلاث سنوات من الدراسة الميدانية لما يدفع الناس إلى تغيير سلوكهم. سوف نتعلم المبادئ الستة الأساسية, وكيف نستعملها كي نصبح مهرة في فن الإقناع- وكيف ندافع عن أنفسنا ضد من يحاول أن يستغلنا بإقناعنا بما يريد. هذا الكتاب مثالي لجميع الناس العاملين في جميع نواحي الحياة. سوف تغيّر مبادئ التأثيرشخصيتك تغييراً إيجابياً قوياً وتقودك نحو النجاح. العبيكان للنشر

Author : Steven D. Levitt
ISBN : 9789960543932
Genre : Business & Economics
File Size : 74. 47 MB
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أيهما أشد خطراً، المسدس أم حوض السباحة؟ ما هي الأشياء المشتركة بين معلمي المدارس ومصارعي السومو؟ لماذا ما يزال تجار المخدرات يعيشون مع أمهاتهم؟ ما هو مقدار اهتمام الوالدين حقاً؟ ما هو تأثير قضية «رو» و«ويد» في جرائم العنف؟ قد لا تبدو هذه الأسئلة مثل الأسئلة النمطية التي يسألها الاقتصادي، لكن ستيفن د. ليفيت ليس اقتصادياً نمطياً؛ إنه عالم شجاع أكثر من أي شيء آخر، يدرس المادة والأحاجي في الحياة اليومية ــ من الغش والجريمة إلى الرياضة وتربية الأطفال ــ وتقوم استنتاجاته عادة على قلب الحكمة التقليدية رأساً على عقب. وغالباً ما يبدأ بتل كبير من المعطيات وبسؤال بسيط لم يطرح من قبل. إنه يهتم ببعض هذه الأسئلة مثل قضايا الحياة والموت، وبعضها الآخر ذو ميزات استثنائية دون شك. وهكذا يحتوي هذا الكتاب على حقل جديد من الدراسة، وهو (الاقتصاد العجيب). ومن خلال سرده للقصص الآسرة ومن النظرة العميقة غير المباشرة، يبين ليفيت وزميله ستيفن ج. دوبنر أن الاقتصاد -في جذوره- دراسة للحوافز ـــ كيف يحصل الناس على ما يريدون أو يحتاجون، لاسيما عندما يريد الناس الآخرون الشيء ذاته أو يحتاجونه. في كتابهما (الاقتصاد العجيب)، يشرع المؤلفان في استكشاف الجانب الخفي ـــ من كل شيء؛ الأعمال الداخلية لعصابة مخدرات، وحقيقة الوسطاء العقاريين، وأساطير تمويل الحملات. وقصص الغش لدى معلمي المدارس. وأسرار جمعية كوكلوكس كلان (العرقية). ومن هنا فإذا كانت الأخلاق تمثل كيف نريد للعالم أن يسير، فإن الاقتصاد يمثل كيف يعمل العالم فعلاً. صحيح إن قراء هذا الكتاب سيتسلحون بقصص وأحاجٍ تكفي لتروى في آلاف الحفلات، لكن كتاب (الاقتصاد العجيب) يستطيع أن يقدم أكثر من ذلك، إنه يعيد تعريف الطريقة التي ننظر بها إلى العالم الحديث تعريفاً حرفياً. العبيكان للنشر

Information Communication Technologies Concepts Methodologies Tools And Applications

Author : Van Slyke, Craig
ISBN : 9781599049502
Genre : Computers
File Size : 24. 32 MB
Format : PDF, Kindle
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The rapid development of information communication technologies (ICTs) is having a profound impact across numerous aspects of social, economic, and cultural activity worldwide, and keeping pace with the associated effects, implications, opportunities, and pitfalls has been challenging to researchers in diverse realms ranging from education to competitive intelligence.

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