Huan Liu Boeken

Social computing is concerned with the study of social behavior and social c- text based on computational systems.

Exploring the transformative impact of participatory web and social media, this book delves into new collaboration and communication forms. It focuses on community detection and mining within social media, presenting fundamental concepts, state-of-the-art algorithms, and evaluation methods. The text highlights graph-based techniques for dynamic networks and demonstrates how to leverage community patterns for social media analysis. Supplemented by additional resources, it serves as a vital resource for students and professionals interested in harnessing social media data for innovative applications.

The book delves into the multifaceted realm of blogs, exploring their role in self-expression and community building. It covers techniques for clustering blogs, assessing influence and trust, and addressing the challenge of spam blogs through machine learning. Detailed methodologies for data collection and analysis are provided, alongside tools for visualizing blog interactions. The text is enriched with case studies and examples, aiming to equip researchers with the resources needed to navigate and evaluate the expansive Blogosphere effectively. Additional materials are available on the book's website.