Social Computing

De: Ajit Singh

Narrado por: Virtual Voice

"Social Computing" is an authoritative and intensely practical guide designed to navigate the intricate world of social technologies. In an era where online interaction defines our social fabric, this book moves beyond passive observation and equips you with the skills to architect, build, and deploy the very systems that power the connected world. It is a comprehensive resource for students and developers who aspire not just to use social technology, but to create it. This book is a comprehensive and practical guide to the principles, design, and implementation of social computing systems. It is meticulously crafted to bridge the gap between abstract theoretical concepts and the tangible skills required to build real-world social applications.


Philosophy : From Consumer to Creator

The core philosophy of this book is “Learn by Building.” I believe that a true understanding of social computing comes not just from studying its effects but from engineering its mechanisms. The book operates on the premise that every student of computer science should be an architect and a creator. It systematically breaks down complex social platforms into manageable, understandable, and implementable components. Theory is treated as a blueprint for action, providing the “why” and “what” that directly inform the “how-to.” The goal is to empower readers to move from being passive users of social technology to becoming active developers and innovators in the field.


Key Features

1. Strictly 10-Chapter Structure: A focused and well-organized structure covering the entire lifecycle of social computing knowledge, from fundamentals to a full-scale project.

2. Hands-On Development Focus: Heavy emphasis on practical application, with code examples, labs, and case studies integrated throughout every chapter.

3. Capstone DIY Project: The final chapter is a complete, step-by-step guide to building a live, working social web application, including full source code and deployment instructions.

4. Simplified Algorithms: All algorithms are explained in a beginner-friendly, step-by-step manner.

5. Beginner to Advanced Path: The book starts with foundational concepts suitable for beginners and progressively builds up to advanced topics and a complex final project, making it valuable for learners at all levels.

6. Holistic Coverage: Each chapter addresses design, architecture, implementation, applications, and future scope where applicable.


Key Takeaways

After completing this book, the reader will be able to:

1. Analyze and visualize social network data to identify key influencers and communities.

2. Design and implement core algorithms for recommender systems (e.g., collaborative filtering).

3. Understand the models of information diffusion and how content goes viral.

4. Apply HCI and UX principles to design engaging and user-centric social applications.

5. Critically evaluate the ethical, privacy, and bias implications of social computing technologies.

6. Build, test, and deploy a full-stack social media application from scratch.


Disclaimer: Earnest request from the Author.

Kindly go through the table of contents and refer kindle edition for a glance on the related contents.

Thank you for your kind consideration!