How do blogs cite and influence each other? How do such links evolve? Does the popularity of old blog posts drop exponentially with time? These are some of the questions that we address in this work. Our goal is to build a model that generates realistic cascades, so that it can help us with link prediction and outlier detection. Blogs (weblogs) have become an important medium of information bec...

This book offers a comprehensive overview of the various concepts and research issues about blogs or weblogs. It introduces techniques and approaches, tools and applications, and evaluation methodologies with examples and case studies. Blogs allow people to express their thoughts, voice their opinions, and share their experiences and ideas. Blogs also facilitate interactions among individuals c...

BACKGROUND Many patients use websites, blogs, or online social communities to gain health knowledge, information about disease symptoms, and disease diagnosis opinions. The purpose of this study is to use the online platform of blogs to explore whether the framing effect of information content, situated learning of information content, and health knowledge involvement would affect health commun...

There is a growing interest in exploring the role of social networks for understanding how communities and individuals spread influence. In a densely connected world where much of our communication happens online, social media and networks have a great potential in influencing our thoughts and actions. The key contribution of our work is generation of a fully-connected polar social network grap...

This papers shows the results obtained by a non supervised method in the task of sentiment polarity detection on micro-blogs. This method does not need of training, but it also is self-constructed from millions of publications on the web. The results show the effectiveness of the proposal, openining a new way of facing sentiment analysis in micro-blogs.